JP7442155B2 - Information processing device, support system, terminal device, information processing method, and program - Google Patents

Description

The present disclosure generally relates to an information processing device, a support system, a terminal device, an information processing method, and a program, and more specifically, the present disclosure relates to an information processing device, a support system, a terminal device, an information processing method, and a program that process training information related to training. Regarding the program.

Patent Document 1 discloses an exercise support device. This exercise support device includes a pulse measurement section, a movement pace measurement section, and a guide section. When an arbitrary exercise intensity level is selected by the user and an instruction to start a workout is given, the moving pace measurement unit measures the user's moving pace. Further, the pulse measurement unit measures the user's pulse rate. The guide unit determines whether the pulse rate measured by the pulse measurement unit is outside the range of pulse rates corresponding to the exercise intensity level selected by the user. If the determination is YES, the guide section corrects the measured moving pace according to the measured pulse rate.

In the exercise support device described in Patent Document 1, the guide unit determines the user's movement pace based on the exercise intensity level selected by the user. Therefore, if the user is not able to accurately grasp his or her own exercise intensity level, there is a possibility that training suitable for the user cannot be performed.

JP 2016-220709 Publication

The present disclosure has been made in view of the above reasons, and aims to make it possible to provide training information suitable for users.

An information processing device according to one aspect of the present disclosure includes an attribute information acquisition unit, an environment information acquisition unit, a determination unit, and an output unit. The attribute information acquisition unit acquires attribute information regarding user attributes. The environmental information acquisition unit acquires environmental information regarding a training environment of the user. The determination unit determines training information regarding training that the user should perform based on at least the attribute information and the environment information. The output unit outputs the training information determined by the determination unit. The training information includes a combination of the intensity of the training and clothing of the user during the training.
An information processing device according to an aspect of the present disclosure includes an attribute information acquisition section, an environment information acquisition section, a determination section, an output section, and a owned clothing information storage section. The attribute information acquisition unit acquires attribute information regarding user attributes. The environmental information acquisition unit acquires environmental information regarding a training environment of the user. The determination unit determines training information regarding training that the user should perform based on at least the attribute information and the environment information. The output unit outputs the training information determined by the determination unit. The owned clothing information storage unit stores information on clothing that can be used by the user. The training information includes at least one of the type of training, the intensity of the training, the time of the training, and clothing worn by the user during the training. The determining unit selects the user's clothes from among the clothes stored in the owned clothing information storage unit.
An information processing device according to one aspect of the present disclosure includes an attribute information acquisition unit, an environment information acquisition unit, a determination unit, and an output unit. The attribute information acquisition unit acquires attribute information regarding user attributes. The environmental information acquisition unit acquires environmental information regarding a training environment of the user. The determination unit determines training information regarding training that the user should perform based on at least the attribute information and the environment information. The output unit outputs the training information determined by the determination unit. The determining unit determines the training information such that the user's core body temperature is maintained at a threshold temperature or higher for a predetermined period when the training is performed. The training information includes the intensity of the training and the time of the training. The intensity of the training is a first training intensity that causes the core body temperature of the user to reach the threshold temperature after a first period has elapsed from the start of the training, and a first training intensity that causes the user's core body temperature to reach the threshold temperature after the first period has elapsed. A second period as a period, and a second training intensity for maintaining the user's core body temperature at a temperature equal to or higher than the threshold temperature. The second training intensity is equal to or less than the first training intensity.
An information processing device according to one aspect of the present disclosure includes an attribute information acquisition section, an environmental information acquisition section, a determination section, an output section, a prediction section, a body temperature information acquisition section, and a comparison section. The attribute information acquisition unit acquires attribute information regarding user attributes. The environmental information acquisition unit acquires environmental information regarding a training environment of the user. The determination unit determines training information regarding training that the user should perform based on at least the attribute information and the environment information. The output unit outputs the training information determined by the determination unit. The prediction unit predicts the user's body temperature when the user performs the training according to the training information determined by the determination unit. The body temperature information acquisition unit acquires a measured value of the user's body temperature, which is measured when the user performs the training according to the training information. The comparison unit compares the predicted value of the user's body temperature predicted by the prediction unit and the measured value of the user's body temperature acquired by the body temperature information acquisition unit. The determining unit determines new training information regarding new training that the user should perform, based on at least the comparison result of the comparing unit, the attribute information, and the environment information. The output unit outputs the new training information determined by the determination unit.

A support system according to one aspect of the present disclosure includes the information processing device and a terminal device. The terminal device presents information output from the output unit.

A terminal device according to an aspect of the present disclosure is used as the terminal device in the support system.

A support system according to one aspect of the present disclosure includes the information processing device and a measurement device. The measuring device measures biological information of the user. The determining unit determines the training information based on at least the user's biological information, the attribute information, and the environmental information measured by the measuring device.

In an information processing method according to an aspect of the present disclosure, attribute information regarding attributes of a user is acquired, environmental information regarding a training environment of the user is acquired, and based on at least the attribute information and the environment information, the user Training information regarding training to be performed is determined, and the determined training information is output. The training information includes a combination of the intensity of the training and clothing of the user during the training.
In an information processing method according to an aspect of the present disclosure, attribute information regarding attributes of a user is acquired, environmental information regarding a training environment of the user is acquired, and based on at least the attribute information and the environment information, the user Training information regarding training to be performed is determined, and the determined training information is output. The training information includes at least one of the type of training, the intensity of the training, the time of the training, and clothing worn by the user during the training. In determining the training information, the user's clothing is selected from among the clothing stored in the owned clothing information storage unit that stores information on clothing available to the user.
In an information processing method according to an aspect of the present disclosure, attribute information regarding attributes of a user is acquired, environmental information regarding a training environment of the user is acquired, and based on at least the attribute information and the environment information, the user Training information regarding training to be performed is determined, and the determined training information is output. In determining the training information, the training information is determined such that the core body temperature of the user is maintained at or above a threshold temperature for a predetermined period when the training is performed. The training information includes the intensity of the training and the time of the training. The intensity of the training is a first training intensity that causes the core body temperature of the user to reach the threshold temperature after a first period has elapsed from the start of the training, and a first training intensity that causes the user's core body temperature to reach the threshold temperature after the first period has elapsed. A second period as a period, and a second training intensity for maintaining the user's core body temperature at a temperature equal to or higher than the threshold temperature. The second training intensity is equal to or less than the first training intensity.
In an information processing method according to an aspect of the present disclosure, attribute information regarding attributes of a user is acquired, environmental information regarding a training environment of the user is acquired, and based on at least the attribute information and the environment information, the user Determine training information regarding training to be performed, output the determined training information, predict the body temperature of the user when the user performs the training according to the determined training information, and predict the body temperature of the user according to the training information. Obtaining a measured value of the user's body temperature measured when the user performs the training, and comparing the predicted value of the user's body temperature with the obtained measured value of the user's body temperature. , determining new training information regarding a new training that the user should perform, based on at least a comparison result of a predicted value of the user's body temperature and a measured value of the user's body temperature, the attribute information, and the environmental information; The determined new training information is output.

A program according to one aspect of the present disclosure is a program for causing one or more processors to execute the information processing method.

FIG. 1 is an explanatory diagram of a support system according to an embodiment. FIG. 2 is a block diagram of an information processing device in the support system. FIG. 3 is a block diagram of a terminal device in the support system. FIG. 4 is a block diagram of a measuring device in the support system. FIG. 5 is an explanatory diagram showing an example of use of the measuring device. FIG. 6 is a graph showing an example of prediction results of transitions in biological information (core body temperature) by the support system. FIG. 7 is a graph showing an example of comparison results by the support system. FIG. 8 is a graph showing an example of comparison results by the support system. FIG. 9 is a graph showing an example of comparison results by the support system. FIG. 10 is a graph showing an example of comparison results by the support system. FIG. 11 is a graph showing an example of comparison results by the support system. FIG. 12 is a graph showing an example of comparison results by the support system. FIG. 13 is a graph showing an example of comparison results by the support system. FIG. 14 is a graph showing an example of comparison results by the support system. FIG. 15 is a graph showing an example of comparison results by the support system. FIG. 16 is a graph showing an example of comparison results by the support system. FIG. 17 is a graph showing an example of comparison results by the support system. FIG. 18 is a graph showing an example of the comparison results by the support system. FIG. 19 is a graph showing an example of comparison results by the support system. FIG. 20 is a diagram showing changes in the load on the user over time when training is performed according to the first to third examples of training information provided by the support system. FIG. 21 is a diagram showing changes over time in the user's biological information (core body temperature) when training is performed according to the first to third examples of training information provided by the support system. FIG. 22 is a flowchart showing an example of the operation by the support system. FIG. 23 is a flowchart showing an example of the operation by the support system. FIG. 24 is a flowchart showing an example of the operation by the support system. FIG. 25 is a block diagram of an information processing device in the support system of Modification 1. FIG. 26 is a diagram showing an example of a question screen displayed on a terminal device in the support system. FIG. 27 is a diagram showing an example of a caution screen displayed on a terminal device in the support system. FIG. 28 is a diagram showing an example of a question screen displayed on a terminal device in the support system. FIG. 29 is a graph showing an example of prediction results of transitions in biological information (core body temperature) by the support system. FIG. 30 is a block diagram of an information processing device in a support system according to modification 2. FIG. 31 is a diagram showing an example of a question screen displayed on a terminal device in the support system. FIG. 32 is a flowchart showing an example of the operation by the support system. FIG. 33 is a block diagram of a measuring device in the support system of Modification 3. FIG. 34 is a flowchart showing an example of the operation by the support system. FIG. 35 is a flowchart illustrating an example of the operation by the support system of modification 4.

A support system 100 according to an embodiment will be described below with reference to the drawings. However, the embodiment described below is only one of various embodiments of the present disclosure. The embodiments described below can be modified in various ways depending on the design, etc., as long as the objective of the present disclosure can be achieved.

(1) Overview Many people engage in sports and various types of strength training for the purpose of maintaining and promoting health or relieving stress, but in general, the use of advanced facilities and equipment is costly. The reality is that it is very difficult to receive the guidance of a professional trainer or coach except for some top athletes, and it is extremely difficult to implement effective training that will lead to improved competitive performance and records. Training generally refers to the process of using the body's adaptability to exercise stimuli to further strengthen and develop sports abilities such as the form and function of the human body, including willpower. It may be light exercise, exercise, gymnastics, etc. performed for the purpose of dieting or suppressing or recovering muscle weakness by voluntarily imposing some kind of load on the body.

The support system 100 of this embodiment provides training suitable for individual users 200, for example, for general users 200 who have difficulty using advanced facilities and equipment, receiving guidance from specialized trainers or coaches, etc. The purpose is to provide information. Of course, the user 200 of the support system 100 of this embodiment is not limited to a general user, and may be an exercise expert such as an athlete or his coach.

As shown in FIG. 1, the support system 100 includes an information processing device 10, a terminal device 20, and a measuring device 30.

As shown in FIG. 2, the information processing device 10 includes an attribute information acquisition unit 1311 (“attribute acquisition unit” in FIG. 2) and an environment information acquisition unit 1315 (“environment acquisition unit” in FIG. 2). There is.

The attribute information acquisition unit 1311 acquires attribute information regarding attributes of the user 200. Attribute information is information regarding the characteristics/properties of the user 200, and may particularly include information related to the physical function and/or motor function of the user 200. Examples of attribute information include the user 200's age, date of birth, race, place of residence, gender, height, weight, fat-free mass, muscle mass, body fat mass, body fat percentage, training level, etc. An example is profile information of the user 200. The training level here refers to an index indicating the degree of physical function (motor function) of the user 200, and typical examples include maximum oxygen intake (VO ₂ max), anaerobic work It may include information such as threshold value (AT), maximum workload (WRmax), resting heart rate, and maximum heart rate. Examples of profile information of various users 200 may include information regarding exercise habits (type of exercise, exercise duration, exercise frequency, exercise period, exercise load, etc.) instead of/in addition to the above.

The environmental information acquisition unit 1315 acquires environmental information regarding the training environment of the user 200. The environmental information is information regarding the overall training environment when the user 200 performs training. The environmental information may include, for example, information on the environment of the training implementation time and training location specified by the user 200. Examples of environmental information include weather, temperature, humidity, wind speed, wind direction, and amount of solar radiation.

The information processing device 10 further includes a determining section 132 and an output section 137.

The determining unit 132 determines training information regarding training that the user 200 should perform based on at least attribute information and environmental information. The output unit 137 outputs the training information determined by the determination unit 132.

In this way, according to the information processing device 10 of this embodiment and the support system 100 including the same, training information is determined using attribute information and environmental information. That is, the training information reflects the user's 200 own attribute information and the environment information around the user 200. Therefore, the user 200 can perform training suitable for himself by performing training based on the training information.

In short, the information processing device 10 and the support system 100 of this embodiment have the advantage that training information suitable for each user 200 can be provided.

(2) Details Below, the support system 100 of this embodiment will be described in more detail with reference to the drawings. The support system 100 of this embodiment is used, for example, for the purpose of improving the endurance exercise ability or performance of the user 200, but the purpose of the support system 100 is not limited to this.

As shown in FIG. 1, the support system 100 includes an information processing device 10, a terminal device 20, and a measuring device 30.

The information processing device 10 can be connected to the terminal device 20 via the communication network 40. Communication network 40 may include the Internet, a telephone network, and the like. The communication network 40 may be composed of not only a network compliant with a single communication protocol but also a plurality of networks compliant with different communication protocols. The communication protocol may be selected from a variety of well-known wired and wireless communication standards. Although simplified in FIG. 1, the communication network may include data communication equipment such as repeater hubs, switching hubs, bridges, gateways, routers, and the like.

(2.1) Terminal Device The terminal device 20 is used to present information output from the output unit 137.

The terminal device 20 is an information terminal. The terminal device 20 is, for example, a portable device carried by the user 200. The terminal device 20 is, for example, a smartphone. Note that the terminal device 20 is not limited to a smartphone, but may be a portable information terminal such as a tablet terminal, a personal computer (desktop computer, laptop computer, etc.), a wristwatch-type terminal device, a smart television, or the like. Further, the terminal device 20 is not limited to a general-purpose device, but may be a dedicated device.

As shown in FIG. 3, the terminal device 20 includes an input section 21, a presentation section 22, a communication section 23, and a processing section 24.

The input unit 21 is used to input information to the terminal device 20. The input unit 21 includes an input device for operating the terminal device 20. The input device includes, for example, a touch pad and/or one or more buttons. The input device is not limited to a touch pad, but may be a keyboard, a pointing device, a mechanical switch, or the like. The input device may include a voice input device. The input unit 21 may include a plurality of input devices.

The presentation unit 22 is used to present (output) information from the terminal device 20. The presentation unit 22 includes a presentation device for presenting information. The presentation device includes an image display device for displaying information. The image display device is, for example, a thin display device such as a liquid crystal display or an organic EL display. Note that the touch pad of the input section 21 and the image display device of the presentation section 22 may constitute a touch panel. The presentation device may include an audio output device that outputs information as sound.

The communication section 23 includes a first communication section 231 and a second communication section 232.

The first communication unit 231 is a communication module for communicating with the information processing device 10. The first communication unit 231 is connectable to the communication network 40 and has a function of communicating through the communication network 40. The first communication unit 231 complies with a predetermined communication protocol (first communication protocol). The first communication protocol may be selected from a variety of well-known wired and wireless communication standards.

The second communication unit 232 is a communication module for communicating with the measuring device 30. The second communication unit 232 here complies with a predetermined second communication protocol different from the first communication protocol. The second communication protocol may be selected from a variety of well-known wired and wireless communication standards. As the second communication protocol, for example, a protocol suitable for short-range wireless communication (for example, a protocol used in Bluetooth (registered trademark)) may be adopted.

The first communication protocol and the second communication protocol may be the same. The first communication unit 231 and the second communication unit 232 may be configured by one communication module.

The processing unit 24 can be realized, for example, by a computer system including one or more processors (microprocessors) and one or more memories. The processing unit 24 can be realized, for example, by a computer system including one or more processors (microprocessors) and one or more memories. That is, one or more processors function as the processing unit 24 by executing one or more (computer) programs (applications) stored in one or more memories. Although the program is pre-recorded in the memory of the processing unit 24 here, it may also be provided via a telecommunications line such as the Internet or by being recorded on a non-temporary recording medium such as a memory card.

The processing unit 24 is configured to control the entire terminal device 20, that is, the input unit 21, the presentation unit 22, and the communication unit 23. The functions of the processing unit 24 are realized by one or more processors of the processing unit 24 executing a program.

When the processing unit 24 executes the program, the presentation unit 22 presents information (screen, audio, etc.) that prompts the user 200 to input various information. The user 200 inputs various information via the input section 21 in response to the information presented on the presentation section 22 .

The information inputted by the input unit 21 includes, for example, attribute information regarding attributes of the user 200, owned clothing information regarding clothes that can be used by the user 200 (for example, owned by the user 200), goal information regarding the goals of the user 200, and information regarding the user's 200 goals. Examples include availability information indicating whether or not training information of 200 can be adopted. That is, the input unit 21 receives input of various information such as attribute information.

The processing unit 24 has a function of transmitting information input according to the operation of the input unit 21 from the first communication unit 231 to the information processing device 10 via the communication network 40. The first communication unit 231 functions as a communication unit (transmission unit) that transmits information input to the input unit 21 to the information processing device 10.

The processing unit 24 has a function of receiving information from the information processing device 10 by the first communication unit 231 via the communication network 40. The processing unit 24 has a function of presenting information from the information processing device 10 using the presentation unit 22. In this way, the processing unit 24 receives various information from the information processing device 10 through the first communication unit 231, and presents the received information through the presentation unit 22.

Examples of the information presented by the presentation unit 22 include training information regarding the training that the user 200 should perform, evaluation result information regarding the evaluation results of the training, schedule information regarding the training schedule, and the like.

Furthermore, as described above, the terminal device 20 can communicate with the measuring device 30 through the second communication section 232. The measuring device 30 is a device used to measure biological information of the user 200.

(2.2) Measuring Device The measuring device 30 measures biological information of the user 200. In this embodiment, the biological information of the user 200 measured by the measuring device 30 is the body temperature of the user 200, and the measuring device 30 is a so-called temperature sensor. The measuring device 30 of this embodiment is configured to be worn on the user's 200 ear and measure the user's 200 eardrum temperature.

As shown in FIG. 4, the measuring device 30 includes a measuring section 31, a communication section 32, a storage section 33, and a housing 34.

The communication unit 32 is a communication module for communicating with the second communication unit 232 of the terminal device 20. The communication unit 32 complies with the second communication protocol.

The housing 34 holds the measurement section 31, the communication section 32, and the storage section 33. The housing 34 is made of resin, for example, and has a shape that can be worn on the ear of the user 200, as shown in FIG. The housing 34 includes an insertion portion that is inserted into the external auditory canal of the user's 200 ear. The housing 34 may include a hook portion that can be hooked onto the pinna of the user's 200 ear. In order to improve the fit on the ear of the user 200 and to prevent discomfort and deterioration of measurement accuracy due to misalignment, the housing 34 is made to match the shape of the installation part (ear) of the user 200. Preferably. Of course, a plurality of casings 34 having mutually different sizes or shapes may be prepared, and the user 200 may be able to select a casing 34 of a size and shape suitable for the user 200.

The measuring section 31 is arranged in the insertion section. That is, the measurement unit 31 is arranged so as to face the eardrum of the user 200 with the housing 34 being attached to the user's 200 ear.

The measurement unit 31 includes, for example, a temperature detection element that detects the environmental temperature and an infrared detection element that detects infrared rays emitted from the temperature measurement site (the eardrum of the user 200 or its surroundings). The temperature detection element is, for example, a thermistor. The infrared detection element is, for example, a thermopile including a cold junction and a hot junction. The measurement unit 31 measures the eardrum temperature of the user 200 based on the environmental temperature detected by the temperature detection element and the infrared intensity detected by the infrared detection element.

In short, the measuring device 30 of this embodiment measures the body temperature of the user 200 as the user's 200 biological information. In particular, the measuring device 30 of this embodiment measures the eardrum temperature of the user 200. Here, the eardrum temperature is said to be close to the user's 200 core body temperature. Core body temperature is the temperature inside the human body (brain, internal organs, etc.). Unlike body surface temperature (skin temperature), core body temperature is said to be less susceptible to environmental influences such as outside temperature due to the homeostasis of the human body, which is primarily controlled by the hypothalamus. That is, the measuring device 30 of this embodiment measures the core body temperature of the user 200 as the user's 200 body temperature.

In this way, the measuring device 30 of the present embodiment can non-invasively measure the biological information (core body temperature) of the user 200 by measuring the temperature of the eardrum of the user 200. Furthermore, since the measurement device 30 can be worn on the user's 200 ear, it is less likely to interfere with the user 200 during training.

The measurement unit 31 measures the eardrum temperature (initial temperature T0) before the user 200 performs training as the user's 200 biological information. Furthermore, the measurement unit 31 measures the eardrum temperature (temperature during exercise) when the user 200 is training as the user's 200 biological information. For example, as shown in FIG. 5, the measuring device 30 is worn on the ear of a user 200 who is running as training, and measures the temperature of the user 200 during exercise. The measurement unit 31 continuously measures biological information (tympanic membrane temperature) of the user 200 while the user 200 is training (at the time of training). In the present disclosure, "continuously measuring biological information" means obtaining measured values of biological information (temperature) multiple times regularly or irregularly. In one example, "continuously measuring biological information" may mean measuring biological information more than once per minute, may mean measuring biological information 10 times or more per minute, and may mean measuring biological information 10 times or more per minute, The measurement may be performed 30 times or more per minute, or 60 times or more per minute. In the present disclosure, "measuring biological information continuously" does not include measuring biological information only once.

The eardrum temperature measured by the measurement unit 31 is transmitted to the terminal via the communication unit 32 in response to a request from the terminal device 20 or in response to an operation on an appropriate operation unit provided in the housing 34 of the measurement device 30. The information is sent to the device 20. The measuring device 30 may transmit the eardrum temperature measured by the measuring unit 31 to the terminal device 20 in real time. The terminal device 20 that has received the information on the eardrum temperature of the user 200 at the time of training (temperature during exercise) transmits the received eardrum temperature information to the information processing device 10 .

The storage unit 33 stores biological information (tympanic membrane temperature) measured by the measurement unit 31. The storage unit 33 includes one or more storage devices. The storage device is, for example, a RAM (Random Access Memory), an EEPROM (Electrically Erasable Programmable Read Only Memory), or the like.

Note that although eardrum temperature, which is close to core body temperature, has been described as an example of the biological information measured by the measuring device 30, similar effects can be obtained if the biological information of the user 200 changes due to training. Needless to say, a more optimal training menu (training information) can be provided according to the measured biological information.

Among the biological information obtained from the user 200, examples other than the eardrum temperature (core body temperature) (other examples of the biological information of the user 200 measured by the measurement unit 31) include the user's 200's heart rate, respiratory rate, heart rate fluctuation, Arterial blood oxygen saturation ( _SPO2 ), body surface temperature (skin temperature), average skin temperature, temperature inside the clothes worn by the user 200, humidity inside the clothes worn by the user 200, Examples include local sweat amount on the body surface and whole body sweat amount. The heart rate, respiration rate, and heart rate variability can be measured, for example, by an optical heart rate sensor attached to the wrist of the user 200. Further, arterial oxygen saturation (SPO ₂ ) can be measured by an optical arterial oxygen saturation sensor attached to the user's 200 wrist. The body surface temperature (skin temperature) can be measured by a temperature sensor (such as a thermistor) attached to the user's 200 body surface. The average skin temperature is one of the skin temperatures representative of the whole body and can be calculated based on the skin temperature of each region.For example, the formula of Ramanathan's four-point method: (average skin temperature) = 0.3 × (chest skin temperature) It can be calculated as +0.3×(upper arm skin temperature)+0.2×(thigh skin temperature)+0.2×(lower leg skin temperature). However, among the skin temperatures of the chest, upper arms, thighs, and lower legs, only the measurement results of the skin temperature of the chest, which is less affected by the outside temperature, may be used. The temperature inside the clothes can be acquired by a temperature sensor (such as a thermistor) attached to the clothes that the user 200 is wearing. The humidity inside the clothes can be acquired by a humidity sensor attached to the clothes worn by the user 200. The amount of local sweating on the body surface can be measured by, for example, detecting the humidity that passes through a capsule attached to the user's 200 area using a humidity sensor. The amount of whole body sweat can be measured by estimating the amount of local perspiration at a plurality of representative parts on the body surface of the user 200, taking into account the body surface area and the perspiration rate for each part. The measuring unit 31 of the measuring device 30 may have the functions of one or more of the above-described devices (optical heart rate sensor, temperature sensor, etc.).

Furthermore, here, we have described an example in which the eardrum temperature, which is close to the core body temperature, is measured when capturing the core body temperature as biological information, which is less susceptible to disturbances such as temperature and can accurately determine the training load that the user 200 is undergoing. The core body temperature measured by the measurement device 30 may be esophageal temperature, rectal temperature, or the like. As a method for measuring the esophageal temperature and rectal temperature, there is a method in which the user 200 drinks a small capsule (measuring device 30) with a built-in temperature sensor, and measures the temperature of the capsule as it passes through the user's 200 body. With this method as well, it is possible to non-invasively measure the user's 200's core body temperature, and the training of the user's 200 is less likely to be hindered. In addition to the eardrum temperature, the core body temperature can be estimated from temperatures measured at various locations such as under the armpits, under the tongue, the chest, and the abdomen (navel). Moreover, core body temperature may be estimated from body surface temperature or exhaled air temperature, which can be easily measured compared to eardrum temperature. For example, the measurement device 30 may use a value obtained by converting a temperature measurement value according to a predetermined conversion formula, algorithm, or the like as the measurement value of the user's 200 core body temperature.

Although the non-invasive method using infrared rays and a thermistor described as a method for measuring eardrum temperature can greatly improve the accuracy of the measured eardrum temperature, the method for measuring eardrum temperature using the measuring device 30 is limited to this method. do not have. The measuring device 30 may be configured to directly measure the skin temperature or the temperature in the ear canal using a thermistor. As a result, it is possible to realize miniaturization, weight reduction, and cost reduction, and to improve the usability and ease of use for the user.

Furthermore, the biological information measured by the measuring device 30 is not limited to one type. The measuring device 30 may measure a plurality of biological information such as eardrum temperature and heart rate. This makes it possible to more accurately estimate the exercise load on the user 200, and further improve the accuracy of the training menu (training information).

(2.3) Information Processing Device The information processing device 10 includes a communication section 11, a storage section 12, and a processing section 13, as shown in FIG. The information processing device 10 may be realized by a server, for example.

The communication unit 11 is a communication interface. The communication unit 11 is connectable to the communication network 40 and has a function of communicating through the communication network 40. The communication unit 11 complies with a predetermined communication protocol (first communication protocol). The first communication protocol may be selected from a variety of well-known wired and wireless communication standards. The communication unit 11 is communicably connected to the terminal device 20. This allows the information processing device 10 to communicate with the terminal device 20.

(2.3.1) Storage Unit The storage unit 12 is used to store information used by the processing unit 13 and information generated by the processing unit 13. The storage unit 12 includes one or more storage devices. The storage device is, for example, a RAM (Random Access Memory), an EEPROM (Electrically Erasable Programmable Read Only Memory), or the like. The storage unit 12 may be shared with the memory of the processing unit 13.

As shown in FIG. 2, the storage unit 12 includes a user information storage unit 121, an environment information storage unit 122, a clothing information storage unit 123, a training type storage unit 124, and a prediction formula storage unit 125. There is.

The user information storage unit 121 stores user information that is information about the user 200. The user information storage unit 121 stores user information of a plurality of users 200 here. The user information of the plurality of users 200 is stored for each user 200 in association with identification information (ID) assigned to each user 200.

Here, the user information includes attribute information regarding attributes of the user 200, owned clothing information regarding available clothing for the user 200, goal information regarding the goals of the user 200, and history information regarding the training history of the user 200. Contains. Therefore, the user information storage unit 121 includes an attribute information storage unit 1211 that stores attribute information, a possessed clothing information storage unit 1212 that stores owned clothing information, a target information storage unit 1213 that stores target information, and a history information storage unit 1211 that stores attribute information. and a history information storage unit 1214 for storing the history information.

As described above, the attribute information is information related to the characteristics/properties of the user 200, and particularly includes information related to the user's physical functions and/or motor functions (motor function information).

The attribute information may include attribute information that may change over the medium term and attribute information that does not change over the long term (no change). "Medium-term" here refers to a period of weeks or months, and "long-term" refers to a period of years, but is not limited to this.

Attribute information that does not change over a long period of time includes the user's 200 age, date of birth, race, gender, height (in the case of an adult), and the like. Attribute information that does not change much over a long period of time does not need to be updated after it is registered once.

Attribute information that may change over the medium term includes various so-called user information such as the user 200's height (if a minor), place of residence, weight, lean mass, muscle mass, body fat mass, body fat percentage, training level, etc. There are 200 pieces of profile information.

The training level is an index indicating the degree of the user's 200 current physical function (motor function). Typical examples of training levels include information on maximum oxygen uptake (VO ₂ max), anaerobic threshold (AT), maximum workload (WRmax), resting heart rate, and maximum heart rate. Maximum oxygen uptake (VO ₂ max) and anaerobic threshold (AT) can be measured directly using equipment such as an exhaled gas analyzer; (VO ₂ max) can also be measured by a 12-minute run (Cooper run) with a fixed running time, a 1500 m run, a 3000 m run, a 20 m shuttle run, etc. with a fixed running distance. In addition, if the user 200 owns a smart watch, a running watch, etc., by monitoring the heart rate on a daily basis other than during training or during training, maximum oxygen uptake (VO ₂ max), anaerobic work It is also possible to measure the threshold value (AT). An example of another training level is the shortest time per kilometer when the user 200 runs for 30 minutes. The shortest time per kilometer means a personal best value obtained by dividing the running time (30 minutes) by the distance (km) covered by the user 200 in the running time (30 minutes). Note that the shortest time per kilometer may vary depending on the length of time you run. Therefore, for example, the shortest time is memorized every 30 minutes between 30 and 90 minutes (i.e., the shortest time per kilometer for a 30-minute run, the shortest time per kilometer for a 60-minute run, and the shortest time per kilometer for a 90-minute run. It is desirable to memorize the shortest time for each.

It is preferable that the attribute information, which may change over the medium term, be registered once when the user 200 uses the system for the first time, and then the information is updated in a timely manner. In particular, the user's 200 training level may change due to repeated training or no training for a long period of time. Therefore, it is preferable that the information regarding the training level is updated as appropriate. When the user 200 regularly performs training using the support system 100, the training level is based on the user's 200 training performance (maximum oxygen uptake (VO ₂ max) etc. measured during training). The information processing device 10 or an external server may estimate the information.

The attribute information may include the normal body temperature of the user 200. The initial temperature T0 of the user 200 is used to determine the intensity of training, predict the core body temperature of the user 200, etc. (described later). By using it instead of T0, the measurement of the initial temperature T0 can be omitted. However, it is preferable to use the initial temperature T0 because it improves the accuracy of predicting the core body temperature of the user 200 during training. Normal body temperature can be measured using a thermometer that takes a single measurement at areas such as under the armpit, under the tongue, and on the forehead for health management or disease diagnosis. Note that the normal body temperature included in the attribute information may be the eardrum temperature, esophageal temperature, rectal temperature, etc. of the user 200 measured during normal times (that is, the core body temperature of the user 200 measured during normal times).

The attribute information acquisition unit 1311 of the processing unit 13 acquires the attribute information from the terminal device 20 via the communication network 40.

Possession clothing information is information regarding clothing that can be used by the user 200. Clothes that can be used by the user 200 include clothes that the user 200 owns. Clothes that can be used by the user 200 may include clothes that the user 200 can borrow from others, rental companies, and the like.

The owned clothing information is acquired by the owned clothing information acquisition unit 1312 of the processing unit 13 from the terminal device 20 via the communication network 40 .

The goal information is information regarding the goals of the user 200, particularly the training goals of the user 200. A training goal can be any goal that the user 200 wants to achieve through training. An example of a training goal is for the user 200, whose fastest full marathon time so far is 3 hours and 13 minutes, to reduce his time by 3 minutes at the full marathon event to be held in two months.

The target information is acquired by the target information acquisition unit 1313 of the processing unit 13 from the terminal device 20 via the communication network 40.

The history information is information regarding the history of training performed by the user 200 using the support system 100 (information processing device 10). The training history may include a history of training information determined by the determination unit 132, a history of comparison results by the comparison unit 134, a history of evaluation results by the evaluation unit 135, and the like.

The environmental information storage unit 122 stores environmental information. As described above, the environment information is information regarding the training environment of the user 200, and may include information about the environment of the training implementation time and training location specified by the user 200.

The environmental information may include environmental information that has short-term fluctuations and environmental information that has little (no fluctuation) long-term fluctuations. "Short-term" here refers to a period in minutes, hours, or days, and "long-term" refers to a period in years, but is not limited thereto.

Environmental information that has short-term fluctuations includes weather, temperature, humidity, wind speed, wind direction, solar radiation, and the like. This environmental information is measured, for example, by appropriate measuring equipment installed at the training location. These environmental information may be substituted with prediction data (or measurement data) provided by a service provider or the like that provides weather-related information.

Examples of environmental information that does not change over a long period of time include topographical information about training locations. Examples of topographical information include the type of road surface, the undulations of the road surface, and surrounding buildings. For example, when running is selected as training, the environmental information may include the type of running course (road surface), ups and downs of the running course, altitude, and the like. Examples of the types of running courses include urban areas, land tracks, and trail courses that utilize mountain trails. The ups and downs and altitude of the running course can be measured, for example, by a device (tablet-type information terminal, wristwatch-type information terminal, etc.) equipped with a built-in GPS (Global Positioning System), and acquired via the communication network 40.

The clothing information storage unit 123 stores clothing information regarding many types of clothing. The clothing information storage unit 123 stores, for example, a data table that associates many types of clothing with the heat retention properties of each clothing item. An example of the heat retention property of clothing is the clo value. The clo value is the basic thermal resistance of clothing, and is a value that represents the heat retention ability of clothing when worn. The higher the heat retaining ability of clothing, the lower the amount of heat radiated from the body, and therefore the user's core body temperature tends to rise during training. As shown in Table 1 below, in addition to the CLO value, the data table (clothing information) includes clothing weight (g), clothing thickness (mm), clothing color, clothing material, and moisture permeability (g). /m ² /24h) is preferably included. Moisture permeability is a value that indicates how many grams of moisture permeate per ^{square meter} of fabric in 24 hours, and the higher the moisture permeability, the higher the moisture permeability of the garment. The lower the moisture permeability of clothing, the lower the amount of heat dissipated from the body through sweating, which makes it easier for the user's core body temperature to rise during training.

The training type storage unit 124 stores training type information regarding a plurality of training types. The type of training may include, for example, running, cycling, etc.

The training type storage unit 124 further stores a plurality of types (items) of training for each type.

Examples of the types of running include pace running, interval running, and build-up running. A pace run is a training run in which you run at a constant pace. Interval running is a training run that repeats fast and slow paces. A build-up run is a training run in which you start running at a comfortable pace and gradually increase your pace until you complete a certain distance or time. The types of running may include running indoors using a treadmill or the like, as well as running outdoors.

Types of bicycle running include training by riding a bicycle outdoors, training indoors using a bicycle ergometer, and the like.

The prediction formula storage unit 125 stores prediction formulas used in processing by the determination unit 132 and the prediction unit 133. Here, the prediction formula includes a first prediction formula that predicts the core body temperature of the user 200 at the time of training, and a second prediction formula that calculates the intensity of maintaining the core body temperature of the user 200 at the time of training.

(2.3.2) Processing Unit The processing unit 13 mainly includes a computer system (including a server or cloud computing) having one or more processors and one or more memories. One or more processors implement the functions of the processing unit 13 by executing programs recorded in one or more memories. The program may be pre-recorded in a memory, or may be provided recorded on a non-temporary recording medium such as a memory card, or may be provided through a telecommunications line. In other words, the above program is a program for causing one or more processors to function as the processing unit 13.

As shown in FIG. 2, the processing unit 13 includes an information acquisition unit 131, a determination unit 132, a prediction unit 133, a comparison unit 134, an evaluation unit 135, a schedule unit 136, and an output unit 137. There is. The information acquisition section 131, the determination section 132, the prediction section 133, the comparison section 134, the evaluation section 135, the schedule section 136, and the output section 137 are not actual configurations but represent functions realized by the processing section 13. .

The information acquisition unit 131 includes an attribute information acquisition unit 1311, a possessed clothing information acquisition unit 1312 (“owned clothing acquisition unit” in FIG. 2), a target information acquisition unit 1313 (“target acquisition unit” in FIG. 2), and a biological It includes an information acquisition section 1314 and an environment information acquisition section 1315.

The attribute information acquisition unit 1311 acquires attribute information. The attribute information acquisition unit 1311 acquires the attribute information of the user 200 by mainly receiving the attribute information of the user 200 input through the input unit 21 of the terminal device 20 via the communication network 40 using the communication unit 11. . Some of the attribute information (eg, training level) may be estimated by the information processing device 10 itself based on other information, for example. The attribute information acquisition unit 1311 stores the acquired attribute information of the user 200 in the user information storage unit 121 (attribute information storage unit 1211) in association with the identification information of the user 200.

The owned clothing information acquisition unit 1312 acquires owned clothing information. The owned clothing information acquisition unit 1312 receives the owned clothing information of the user 200 input through the input unit 21 of the terminal device 20 via the communication network 40 using the communication unit 11, thereby acquiring the owned clothing information of the user 200. get. The owned clothing information acquisition unit 1312 stores the acquired owned clothing information of the user 200 in the user information storage unit 121 (owned clothing information storage unit 1212) in association with the identification information of the user 200.

The target information acquisition unit 1313 acquires target information. The goal information acquisition section 1313 acquires the goal information of the user 200 by receiving the goal information of the user 200 input through the input section 21 of the terminal device 20 via the communication network 40 using the communication section 11 . The goal information acquisition unit 1313 stores the acquired goal information of the user 200 in the user information storage unit 121 (goal information storage unit 1213) in association with the identification information of the user 200.

The biological information acquisition unit 1314 acquires the biological information of the user 200. The biological information acquisition unit 1314 acquires the measured value of the biological information of the user 200 measured when the user 200 performs training.

The biological information acquisition unit 1314 includes a body temperature information acquisition unit 1319 (“body temperature acquisition unit” in FIG. 2). The body temperature information acquisition unit 1319 acquires information on the user's 200 body temperature. The body temperature information acquisition unit 1319 acquires the eardrum temperature of the user 200 measured by the measuring device 30 and transmitted to the terminal device 20 as a measured value of the body temperature (core body temperature) of the user 200. The body temperature information acquisition unit 1319 acquires the measured value of the body temperature (core body temperature) of the user 200 from the terminal device 20 via the communication network 40 using the communication unit 11 . The body temperature information acquired by the body temperature information acquisition unit 1319 may include information on the initial temperature T0 and information on the temperature during exercise. That is, the body temperature information acquisition unit 1319 acquires the initial temperature T0, which is the body temperature of the user 200 measured by the measuring device 30 before training according to the training information. Further, the body temperature information acquisition unit 1319 acquires an exercise temperature that is the body temperature of the user 200 when the user 200 performs training.

The environmental information acquisition unit 1315 acquires environmental information. The environmental information acquisition unit 1315 uses the communication unit 11 to acquire environmental information via the communication network 40 from appropriate measuring equipment installed at the training location, a service provider that provides weather information, a device with a built-in GPS, etc. get. The environmental information acquisition unit 1315 causes the environmental information storage unit 122 to store the acquired environmental information.

The determining unit 132 determines training information regarding training that the user should perform. The training information includes at least one of training type, training intensity, training time, and clothing worn by user 200 during training. In particular, the training information includes a combination of training intensity and clothing of the user 200 during the training. Here, the determination unit 132 determines training information including the type of training, the intensity of training, the time of training, and the clothes worn by user 200 during training.

The type of training (running, cycling, etc.) is determined by the user 200 here. For example, the determining unit 132 presents the multiple training types stored in the training type storage unit 124 to the user 200 via the terminal device 20 as multiple selection candidates. The determining unit 132 determines the selection candidate selected by the user 200 from among the presented selection candidates as the type of training to be performed.

The clothing worn by the user 200 during training is selected from among the clothing stored in the owned clothing information storage unit 1212. The determining unit 132 selects an appropriate combination of clothing from among the clothing stored in the owned clothing information storage unit 1212 by referring to the clo value and the like. That is, the determining unit 132 selects the clothing of the user 200 from among the clothing stored in the owned clothing information storage unit 1212. For example, a typical winter clothing combination for runners includes a windbreaker, shorts, long sleeve shirt, tights, cap, neck warmer, and gloves. If you choose clothing with a higher clo value, such as replacing a windbreaker with a padded jacket or replacing shorts with padded pants, you will create a clothing combination that will more likely raise your core body temperature. The user 200 may be able to select (designate) the clothes worn by the user 200 using the terminal device 20 .

The training intensity and training time are determined by the determining unit 132 so that the training is performed such that the core body temperature of the user 200 is maintained at or above the threshold temperature Tth for a predetermined period P0. Here, the training time is the time (duration time) from the start to the end of the training.

It is known that continuous training that applies a heat load to the body for a predetermined period of time induces a heat acclimatization response and improves endurance exercise capacity and/or performance. For example, in Reference 1 (Lorenzo S, Halliwill JR, Sawka MN, et al. Heat acclimation improves exercise performance. J Appl Physiol. 2010;109:1140-1147), cyclists who train on a daily basis As a result of 10 consecutive days of training that puts a heat load on the body (heat load training) by exercising on a bicycle ergometer indoors at a temperature of 40 degrees Celsius, a heat acclimatization response is induced, and the maximum oxygen concentration, which reflects endurance exercise capacity, is increased. It has been reported that intake (VO ₂ max) and lactic acid threshold each improved by about 5% compared to before training. It has also been reported that maximum power output during a one-hour bicycle time trial increased by approximately 6% compared to before training. That is, by determining the training intensity and time so that the core body temperature of the user 200 is maintained at or above the threshold temperature Tth for the predetermined period P0 as described above, the user 200 is caused to have a heat acclimatization response, and as a result, the user 200 endurance athletic ability and/or performance can be improved.

The training intensity here is an index of the magnitude of the heat load placed on the user 200. For example, if the type of training is running, the training intensity can be expressed as a set time per kilometer. A lower set time per kilometer means greater intensity. The determining unit 132 adjusts the training intensity by, for example, changing the set time per kilometer.

The training intensity determined by the determination unit 132 may include the type of training (paced running, interval running, etc.). For example, the determining unit 132 may determine that the user 200 or the like with a high training level should perform interval running in which a fast pace and a slow pace are repeated. By incorporating interval running, in addition to the heat load, you can also expect the effect of improving endurance athletic ability through interval running. On the other hand, for users 200 who want to keep their training intensity as low as possible, such as a user 200 with a low training level or a user 200 who is undergoing treatment for an injury, the training time can be lengthened to compensate for the lowering of the intensity, so that the core body temperature can be maintained at a predetermined level. During the period P0, the temperature may be maintained at the threshold temperature Tth or higher.

The threshold temperature Tth is, for example, a value within the range of 38.0°C to 39.5°C. More preferably, the threshold temperature Tth is a value within the range of 38.5 to 39.0°C. If the threshold temperature Tth is less than 38.0° C., there is a possibility that the heat load is unlikely to be sufficient to improve endurance exercise ability or performance. If the threshold temperature Tth is greater than 39.5° C., the training may place an excessive thermal load on the user 200. The threshold temperature Tth may be determined by adding a value within a prescribed temperature range to the initial temperature T0 of the user 200. The temperature range is preferably 1.0°C to 2.5°C, more preferably 1.2°C to 2.0°C. If the lower limit of the temperature range is less than 1.0°C, it may be difficult to achieve a heat load sufficient to improve endurance exercise ability or performance. If the upper limit of the temperature range is greater than 2.0° C., training may place an excessive thermal load on the user 200. Note that there are individual differences in core body temperature. Therefore, the threshold temperature Tth is preferably set for each user 200 according to the user's 200 attribute information (for example, the height, weight, gender, normal body temperature of the user 200).

The determining unit 132 uses the prediction formula stored in the prediction formula storage unit 125 to determine clothing information (for example, clo value), attribute information of the user 200 (for example, initial temperature T0), environmental information (for example, temperature), and training information. With reference to the intensity (eg, set time), etc., the training intensity and training time are determined so that the core body temperature of the user 200 is maintained at or above the threshold temperature Tth for a predetermined period P0.

More specifically, the determining unit 132 determines the training information to include the first training and the second training. The first training is training for raising the core body temperature of the user 200 to a threshold temperature Tth or higher. The second training is a training performed after the first training, and is training for maintaining the core body temperature of the user 200 at or above the threshold temperature Tth for a predetermined period P0.

FIG. 6 shows an example of a prediction result (predicted core body temperature transition TP) of the user's 200 core body temperature transition when the first training and the second training are performed.

The first training is a training that is performed from the training start time t0 to the elapsed time t1 of the first period P1, and is such that the core body temperature of the user 200 reaches the threshold temperature Tth at the end of the first training (time t1). determined.

The determining unit 132 determines the intensity of the first training (first training intensity) and the first period P1 using a prediction formula. The determining unit 132 determines the first training intensity and the first period P1 using at least the first prediction formula. The first prediction formula is a formula that predicts the core body temperature of the user 200 at the time of training. Here, the first prediction formula is a formula that predicts the core body temperature of the user 200 when the user 200 performs training at a certain intensity for a certain period of time. The first prediction formula may include attribute information of the user 200 (for example, initial temperature T0), clothing information (for example, clo value), training intensity (for example, set time), environmental information (for example, temperature), and the like as parameters. The determining unit 132 uses the first prediction formula to determine the first training intensity and the first period so that the core body temperature of the user 200 reaches the threshold temperature Tth at the time t1 when the first period P1 elapses from the training start time t0. P1 is determined.

The second training is a training performed from the end of the first training (time t1) to the elapsed time t2 of the second period P2, in which the core body temperature of the user 200 is maintained at or above the threshold temperature Tth during the second period P2. It is determined that

The determining unit 132 here employs the above-mentioned predetermined period P0 as the second period P2, which is the period during which the second training is performed. The length of the predetermined period P0 may be determined in advance, or may be determined for each user 200 or each training session based on attribute information such as training level, environmental information, etc. The second period P2 may be longer than the predetermined period P0.

Further, the determining unit 132 determines the intensity of the second training (second training intensity) using the prediction formula. The determining unit 132 determines the second training intensity using at least the second prediction formula. The second prediction formula is a prediction formula that calculates the intensity for maintaining the core body temperature of the user 200 when the user 200 performs training at a certain intensity. The second prediction formula may include attribute information of the user 200 (for example, initial temperature T0), clothing information (for example, clo value), training intensity (for example, set time), environmental information (for example, temperature), and the like as parameters. The determining unit 132 determines the second training intensity using the second prediction formula so that the core body temperature of the user 200 is maintained at or above the threshold temperature Tth.

The first period P1 is selected from a range of 30 minutes to 100 minutes, for example. If it is less than 30 minutes, there is a possibility that the time is not sufficient to raise the core body temperature to the threshold temperature Tth. If the time is longer than 100 minutes, the total training time will be longer, which may be undesirable for the user.

The second period P2 (predetermined period P0) is selected from a range of 20 minutes or more, for example. If the duration is less than 20 minutes, the heat load may not be sufficient to improve endurance exercise capacity or performance.

The first training is training to increase core body temperature, and the second training is training to maintain core body temperature. Therefore, in this embodiment, the second training intensity is determined to be equal to or lower than the first training intensity.

In this way, by dividing the training intensity into two stages and making the second training intensity equal to or lower than the first training intensity, the load can be suppressed to the necessary minimum, reducing the risk of the user 200 becoming unwell or getting injured. can do.

In short, the determining unit 132 determines training information such that when training is performed, the core body temperature of the user 200 is maintained at or above the threshold temperature Tth for a predetermined period P0 (second period P2).

Further, the training intensity is a first training intensity that causes the core body temperature of the user 200 to reach the threshold temperature Tth at a time point t1 when the first period P1 has elapsed from the training start time t0, and a first training intensity that causes the user's 200's core body temperature to reach the threshold temperature Tth. A second period P2 as a predetermined period P0, and a second training intensity that maintains the core body temperature of the user 200 at a temperature equal to or higher than the threshold temperature Tth. The second training intensity is equal to or less than the first training intensity.

An example of the relationship between training intensity and training time (first period P1) will be described with reference to FIGS. 20 and 21.

The upper part of FIG. 20 shows the temporal change in the load applied to the user 200 when training in the first example is performed, and the upper part of FIG. 21 shows the temporal change in the core body temperature of the user 200 in the first example (predicted core body temperature transition). TP). As can be seen from the graph in the upper part of FIG. 20, in the first example, a constant load L11 is applied to the user 200 in the first training, a constant load L12 is applied to the user 200 in the second training, and the user This is a training in which the load L12 on the user 200 is smaller than the load L11 on the user 200 in the first training. As can be seen from the graph in the upper part of FIG. 21, in the first example, the body temperature (core body temperature) rises during the first period P1 in which the first training is performed, and during the second period P2 in which the second training is performed, the body temperature increases. (core body temperature) is maintained.

The middle part of FIG. 20 shows the temporal change in the load applied to the user 200 when training in the second example is performed, and the middle part of FIG. 21 shows the temporal change in the core body temperature of the user 200 in the second example (predicted core body temperature transition TP). As can be seen from the graph in the middle of FIG. 20, the second example is a training (for example, interval running) in which a large load L21 and a small load L22 are repeatedly performed in both the first training and the second training. In the middle part of FIG. 20, for reference, the load L11 in the first training of the first example is also shown by a dotted line. As can be seen from the graph in the middle of FIG. 21, in the second example, the body temperature (deep body temperature) increases during the first period P1 in which the first training is performed and the second period P2 in which the second training is performed.

The lower part of FIG. 20 shows the temporal change in the load applied to the user 200 when training in the third example is performed, and the lower part of FIG. 21 shows the temporal change in the core body temperature of the user 200 in the third example (predicted core body temperature transition). TP). As can be seen from the graph in the lower part of FIG. 20, the third example is a training in which a constant load L30, which is smaller than the load L11 of the first training in the first example, is applied in both the first training and the second training. As can be seen from the graph in the lower part of FIG. 21, in the third example, the body temperature (deep body temperature) increases during the first period P1 in which the first training is performed and the second period P2 in which the second training is performed. However, in the case of the third example, the rate of increase in body temperature during the first period P1 is smaller than in the first and second examples.

As shown in FIG. 21, if the magnitude of the load is appropriately set, the core body temperature of the user 200 can be maintained at or above the threshold temperature Tth during the predetermined period P0 in any of the first to third examples. In reality, body temperature does not continue to rise at a constant slope even if training at the same intensity is continued, but for convenience of explanation, in Figure 21, the relationship between training time and body temperature is shown assuming that body temperature rises at a constant slope. The relationship between is shown schematically.

The first example has advantages such as being able to reduce the physical load on the user 200 more than the second example and having a shorter total training time than the third example (t21<t23). Therefore, the first example is easily adopted by users 200 with a wide range of training levels.

The second example has advantages such as a short total training time (t22<t21, t22<t23) and the ability to improve endurance exercise ability, and the training intensity is higher than the first example. There are disadvantages such as a heavy physical load on the user 200. Therefore, the second example is for the user 200 who has a relatively high training level.

The third example has advantages such as being able to reduce the physical load on the user 200 compared to the first example, and disadvantages such as a long total training time (t23>t21, t23>t22). Therefore, the third example is for users 200 with relatively low training levels.

When determining the training intensity, the determining unit 132 may select any one of the first to third examples as appropriate depending on the training level of the user 200 and the like. Of course, the determining unit 132 may select training other than the first to third examples.

The output unit 137 outputs the training information determined by the determination unit 132 to the terminal device 20. The training information output to the terminal device 20 is presented (for example, displayed) to the user 200 by the presentation unit 22 of the terminal device 20 .

In the support system 100 of this embodiment, the user 200 can select whether to adopt the training information determined by the determination unit 132. For this purpose, the information acquisition unit 131 of the information processing device 10 further includes a propriety information acquisition unit 1316 (“probability acquisition unit” in FIG. 2). The availability information acquisition unit 1316 acquires availability information indicating adoption/rejection of training information.

That is, the user who is presented with the training information by the presentation unit 22 of the terminal device 20 decides whether or not to adopt the training information. Here, whether or not the training information can be adopted includes either adopting the training information or not adopting the training information (non-adopting). Moreover, not adopting the training information may include not adopting only some elements (for example, type of clothing) of the training information. Using the terminal device 20, the user 200 inputs whether or not the training information is to be adopted, and causes the input information to be transmitted to the information processing device 10.

The determining unit 132 determines new training information when the training information is not adopted.

For example, the determining unit 132 replaces the element not adopted by the user 200 with another element, and then determines new training information using a prediction formula (recalculation). For example, if the user 200 chooses to wear clothing different from the clothing determined by the determining unit 132, the determining unit 132, based on information on the clothing selected by the user 200 (clo value, etc.), Determine new training information.

In short, the information processing device 10 includes an availability information acquisition unit 1316 that acquires availability information indicating whether the training information (original training information) outputted from the output unit 137 can be adopted. If adoption of the training information (original training information) is denied based on the availability information, the determining unit 132 determines new training information different from the training information (original training information).

The information processing device 10 determines and proposes new training information to the user 200 until the training information is adopted by the user 200. The training information adopted by the user 200 is stored in the user information storage unit 121 (history information storage unit 1214) in association with the identification information of the user 200, together with date and time information.

The information processing device 10 (processing unit 13) further has a function of generating new training information more suitable for the user 200 based on the results of training actually performed by the user 200. As described above, the processing section 13 includes the biological information acquisition section 1314 (body temperature information acquisition section 1319).

The biological information acquisition unit 1314 acquires, from the measuring device 30, the measured values of the biological information of the user 200 measured during training. The body temperature information acquisition unit 1319 acquires the measured value of the user's 200 body temperature (tympanic membrane temperature) measured at the time of training from the measurement device 30 as the user's 200 biological information. The body temperature information acquisition unit 1319 acquires, from the measuring device 30, the measured value of the user's 200 core body temperature (temperature during exercise) measured during training. The determining unit 132 determines new training information regarding a new training that the user 200 should perform based on at least information on measured values of biological information (body temperature), attribute information, and environmental information.

Furthermore, the processing unit 13 further includes a prediction unit 133 and a comparison unit 134.

The prediction unit 133 predicts the core body temperature of the user 200 when the user 200 performs training according to the training information. More specifically, the prediction unit 133 uses the prediction formula to create a core body temperature transition (predicted core body temperature transition TP) of the user 200 at the time of training.

The prediction unit 133 calculates the core body temperature (initial temperature T0) of the user 200 before training measured by the measurement unit 31 and the predicted core body temperature at the end of the first training t1 predicted by the prediction formula (first prediction formula). A predicted core body temperature transition TP (FIG. 6) is created by connecting TP1 and the predicted core body temperature TP2 at the end time point t2 of the second training. In this embodiment, since the second training is determined so that the core body temperature of the user 200 is maintained, the predicted core body temperature TP2 at the end time t2 of the second training is equal to the predicted core body temperature TP1 at the end time t1 of the first training. (TP2=TP1). In short, the prediction unit 133 predicts the core body temperature of the user 200 when training is performed, based on at least the initial temperature T0 and the training information.

The comparison unit 134 compares the predicted value of the user's 200 core body temperature and the measured value of the user's 200 core body temperature. More specifically, the comparing unit 134 creates a core body temperature transition (actually measured core body temperature transition TR) from the measured value of the user's 200 core body temperature (temperature during exercise), and compares the created actual body core temperature transition TR with the prediction unit 133 Compare with the predicted core body temperature transition TP predicted by .

The comparison unit 134 compares the measured core body temperature transition TR and the predicted core body temperature transition TP of the user 200 at the time of performing the first training (first period P1). The comparison unit 134 calculates the slope of the measured core body temperature transition TR and the predicted core body temperature transition TP at the time of the first training, and compares the magnitude relationship.

As shown in FIGS. 7 and 8, the comparison unit 134 considers a straight line connecting the initial temperature T0 and the measured core body temperature TR1 at the end time t1 of the first training as the transition TR of the core body temperature measured at the time of the first training. (approximate). Then, focusing on this straight line, the slope α of the measured core body temperature transition TR at the time of the first training is calculated.

Specifically, the slope α of the measured core body temperature transition TR during the first training is expressed by the following equation (1).
[Number 1]
α=(TR1-T0)/P1...(1)

Furthermore, the comparison unit 134 calculates the slope β of the predicted core body temperature at the time of performing the first training from the initial temperature T0 and the predicted core body temperature TP1 at the end time t1 of the first training.

The slope β of the predicted core body temperature transition TP when performing the first training is expressed by the following equation (2).
[Number 2]
β=(TP1-T0)/P1...(2)

The comparison unit 134 compares the magnitude relationship between the slope α of the measured core body temperature transition TR and the slope β of the predicted core body temperature transition TP. FIG. 7 shows an example of a comparison result when the slope α of the measured core body temperature transition TR is smaller than the slope β of the predicted core body temperature transition TP. FIG. 8 shows an example of a comparison result when the slope α of the measured core body temperature transition TR is larger than the slope β of the predicted core body temperature transition TP.

Furthermore, the comparison unit 134 compares the measured core body temperature transition TR and the predicted core body temperature transition TP of the user 200 at the time of performing the second training (second period P2). The comparison unit 134 calculates the slope of the measured core body temperature transition TR and the predicted core body temperature transition TP at the time of performing the second training, and compares the magnitude relationship.

As shown in FIGS. 9 and 10, the comparison unit 134 draws a straight line connecting the measured core body temperature TR1 at the end of the first training t1 and the measured core body temperature TR2 at the end of the second training t2 with the straight line at the time of the second training. It is regarded (approximated) as the actual measured core body temperature transition TR. Then, focusing on this straight line, the slope γ of the measured core body temperature transition TR at the time of performing the second training is calculated.

Specifically, the slope γ of the measured core body temperature transition TR when performing the second training is expressed by the following equation (3).
[Number 3]
γ=(TR2-TR1)/P2...(3)

Furthermore, the comparison unit 134 calculates the slope δ of the predicted core body temperature at the time of performing the second training from the predicted core body temperature TP1 at the end time t1 of the first training and the predicted core body temperature TP2 at the end time t2 of the second training.

The slope δ of the predicted core body temperature transition TP when performing the second training is expressed by the following equation (4).
[Number 4]
δ=(TP2-TP1)/P2...(4)

Here, since the second training is determined so that the core body temperature of the user 200 is maintained, the predicted core body temperature TP2 at the end of the second training t2 is the same as the predicted core body temperature TP1 at the end of the first training t1. Yes, and the slope δ of the predicted core body temperature transition TP when performing the second training is 0.

The comparison unit 134 compares the magnitude relationship between the slope γ of the measured core body temperature transition TR and the slope δ of the predicted core body temperature transition TP. Since the slope δ of the predicted core body temperature transition TP in the second training is 0, the comparison unit 134 determines whether the slope γ of the measured core body temperature transition TR at the time of the second training is 0 or more (positive value) or less than 0. (negative value).

FIG. 9 shows an example of a comparison result when the slope γ of the measured core body temperature transition TR is smaller than the slope δ (=0) of the predicted core body temperature transition TP. FIG. 10 shows an example of a comparison result when the slope γ of the measured core body temperature transition TR is larger than the slope δ (=0) of the predicted core body temperature transition TP.

The determining unit 132 generates (determines) new training information based on the comparison result by the comparing unit 134.

In this embodiment, the determining unit 132 changes the training intensity based on the comparison result by the comparing unit 134.

For example, the determining unit 132 changes the training intensity based on the magnitude relationship between the slope of the measured core body temperature transition TR and the slope of the predicted core body temperature transition TP.

Specifically, the determining unit 132 determines that when the slope α of the measured core body temperature transition TR at the time of the first training is smaller than the slope β of the predicted core body temperature transition TP at the time of the first training (α<β; FIG. ), the intensity of the first training is made greater than the original intensity.

Further, the determining unit 132 determines that when the slope α of the measured core body temperature transition TR at the time of the first training is larger than the slope β of the predicted core body temperature transition TP at the time of the first training (α>β; see FIG. 8), The intensity of the first training is made smaller than the original intensity. However, in this case (α>β), whether or not to change the intensity of the first training to be smaller depends on the subjectivity of the user 200 (for example, feedback from the user 200 via the terminal device 20) and the training policy. It may also be determined by That is, if the user 200 does not feel that the load is too heavy even with the original intensity and does not wish to reduce the intensity of the first training, it is not necessarily necessary to reduce the intensity of the first training.

In addition, if the slope γ of the measured core body temperature transition TR at the time of performing the second training is smaller than the slope δ (=0) of the predicted core body temperature transition TP at the time of the second training, the determining unit 132 determines that (γ<0; 9), the intensity of the second training is made greater than the original intensity. However, even in this case (γ<0), if the measured core body temperature TR2 at the end point t2 of the second training is equal to or higher than the predicted core body temperature TP2, it is not necessarily necessary to increase the intensity of the second training. .

Further, the determining unit 132 determines that when the slope γ of the measured core body temperature transition TR when performing the second training is larger than the slope δ (=0) of the predicted core body temperature transition TP when performing the second training (γ>0; 10), the intensity of the second training is made smaller than the original intensity. However, in this case (when γ>0), whether or not to change the intensity of the second training to be smaller may be determined based on the subjectivity of the user 200, the training policy, etc. That is, if the user 200 does not feel that the load is too heavy even with the original intensity and does not wish to reduce the intensity of the second training, it is not necessarily necessary to reduce the intensity of the second training.

11 to 19 show typical examples of comparison results by the comparison unit 134.

FIG. 11 shows that the slope α of the measured core body temperature transition TR at the time of the first training is equal to the slope β of the predicted core body temperature transition TP (α = β), and the slope γ of the measured core body temperature transition TR at the time of the second training is equal to the slope β of the predicted core body temperature transition TP. A case is shown in which the slope δ (=0) of the predicted core body temperature transition TP is equal (γ=0). In this case, the determining unit 132 does not need to generate new training information.

FIG. 12 shows the case where α=β and γ<0. In this case, the determining unit 132 may generate new training information. The determining unit 132 may make the intensity of the second training larger than the original intensity in the new training information.

FIG. 13 shows the case where α=β and γ>0. In this case, the determining unit 132 may generate new training information. In the new training information, the determining unit 132 may make the intensity of the second training smaller than the original intensity.

FIG. 14 shows a case where α<β and γ=0. In this case, the determining unit 132 may generate new training information. The determining unit 132 may make the intensity of the first training larger than the original intensity in the new training information.

FIG. 15 shows a case where α<β and γ<0. In this case, the determining unit 132 may generate new training information. In the new training information, the determining unit 132 may make the intensity of the first training larger than the original intensity, and may make the intensity of the second training larger than the original intensity.

FIG. 16 shows a case where α<β and γ>0. In this case, the determining unit 132 may generate new training information. In the new training information, the determining unit 132 may make the intensity of the first training larger than the original intensity, and may make the intensity of the second training smaller than the original intensity.

FIG. 17 shows a case where α>β and γ=0. In this case, the determining unit 132 may generate new training information. The determining unit 132 may make the intensity of the first training smaller than the original intensity in the new training information.

FIG. 18 shows a case where α>β and γ<0. In this case, the determining unit 132 may generate new training information. The determining unit 132 may make the intensity of the first training smaller than the original intensity in the new training information. In this case, as shown by the broken line in FIG. 18, there is a possibility that the measured core body temperature at the end time t2 of the second training becomes smaller than the threshold temperature Tth. In this case, in the new training information, the determining unit 132 may make the intensity of the first training smaller than the original intensity, and may make the intensity of the second training larger than the original intensity.

FIG. 19 shows a case where α>β and γ>0. In this case, the determining unit 132 may generate new training information. In the new training information, the determining unit 132 may make the intensity of the first training smaller than the original intensity, and may make the intensity of the second training smaller than the original intensity.

Note that the comparison unit 134 does not have to be configured to obtain (linearly approximate) the measured core body temperature transition TR only from the initial temperature T0 and the measured core body temperatures TR1, TR2. For example, the comparison unit 134 further uses one or more measured values other than the initial temperature T0 and the measured core body temperatures TR1 and TR2, which were measured in the first period P1 and the second period P2, to calculate the measured core body temperature transition TR. You can ask for it.

In this way, the determining unit 132 generates (determines) new training information in which the training intensity has been changed based on the results of the training actually performed by the user 200. Therefore, it becomes possible to determine the training intensity according to the personal characteristics of the user 200. In particular, by generating (determining) training information based on the measured value of the user's 200 core body temperature as the user's 200 biological information, it becomes easier for the user 200 to accomplish heat load training.

The determining unit 132 may change the clothing of the user 200 based on the comparison result made by the comparing unit 134. For example, by changing the clothing combination to a combination that more easily increases the user's 200 core body temperature (for example, has a higher clo value), it is possible to promote the increase in the user's 200 body temperature due to training. Thereby, for example, it is possible to encourage the user 200 to increase his or her core body temperature (temperature during exercise) without changing the training intensity.

For example, if the training intensity (set time per kilometer) newly determined by the determining unit 132 is higher than the training level (minimum time per kilometer) of the user 200, the training intensity newly determined by the user 200 is is difficult to implement. In such a case, the intensity of the training can be reduced by changing the clothing to a combination that more easily increases the temperature.

Note that if the intensity cannot be made equal to or lower than the training level even if the combination of clothing is changed, the information processing device 10 uses a combination of clothing that is more likely to increase the temperature, or changes the training time to a warmer time zone. , change of training type, etc. may be suggested to the user 200.

The comparison result by the comparison unit 134 and the new training information determined by the determination unit 132 are stored in the user information storage unit 121 (history information storage unit 1214) in association with the identification information of the user 200, along with date and time information. be done.

The output unit 137 outputs the new training information determined by the determination unit 132 to the terminal device 20 when the user 200 performs the next training.

In short, the prediction unit 133 predicts the body temperature (here, core body temperature) of the user 200 when the user 200 performs training according to the training information (original training information) determined by the determination unit 132. The body temperature information acquisition unit 1319 acquires a measured value of the user's 200 body temperature (here, core body temperature) measured when the user 200 performs training according to the training information (original training information). The comparison unit 134 compares the predicted value of the user 200's body temperature (here, core body temperature) predicted by the prediction unit 133 and the measured value of the user's 200 body temperature (here, core body temperature) acquired by the body temperature information acquisition unit 1319. Compare with. The determining unit 132 determines new training information regarding new training to be performed by the user, which is different from the original training information, based on at least the comparison result by the comparing unit 134, the attribute information, and the environment information. The output unit 137 outputs the new training information determined by the determination unit 132.

The evaluation unit 135 evaluates the training result of the user 200 who has performed training according to the training information, based on the comparison result by the comparison unit 134.

The evaluation unit 135 evaluates the degree of achievement of the heat load training here. More specifically, if the user's core body temperature (temperature during exercise) measured by the measurement unit 31 during training is maintained at or above the threshold temperature Tth for a predetermined period of time P0, the evaluation unit 135 determines that the training is a heat load. Evaluate the training as accomplished. For example, the evaluation unit 135 evaluates the cases of FIGS. 11, 13, 17, and 19 as "achieved." Furthermore, the evaluation unit 135 evaluates the cases of FIGS. 12, 14, 15, and 16 as "not achieved." Furthermore, the evaluation unit 135 evaluates the solid line in FIG. 18 as "achieved" and the broken line as "unachieved". Evaluation result information representing the evaluation result by the evaluation unit 135 is output (transmitted) to the terminal device 20 after the training is completed.

The evaluation result by the evaluation unit 135 is stored in the user information storage unit 121 (history information storage unit 1214) in association with the identification information of the user 200, along with date and time information.

The goal information acquisition unit 1313 acquires goal information regarding the user's 200 goals. The schedule unit 136 determines a training schedule for the user 200 based on the goal information. The schedule unit 136 updates the training schedule based on the evaluation result by the evaluation unit 135.

The goals of the user 200 include any training goals that the user 200 would like to achieve. An example of a goal is to participate in a full marathon that will be held in two months.

In order to improve endurance exercise ability and performance (obtain the effect of heat acclimatization), perform heat load training 3 to 10 times, and do not leave more than 3 consecutive days between training sessions. (Reference 2: Heat countermeasure guidebook for athletes, page 13, line 9 to page 14, line 8, published by the Japan Sports Promotion Center and the National Sports Science Center). For example, if you schedule heat load training to be performed 10 times and evaluate that you have completed it once, the training progress at that time can be expressed as 10%. If you complete heat load training again within 3 days, your training progress will increase to 20%, but if you do not train within 3 days, or if you train but cannot complete heat load training. In this case, the training progress rate drops to 0%.

The schedule unit 136 determines a training schedule for the user 200 based on the goals of the user 200 stored in the goal information storage unit 1213. For example, if the user 200's goal is to participate in a full marathon tournament to be held in two months, the user must complete heat load training one month before the tournament (for example, if the training progress level is 100%). %) is preferred. Therefore, the schedule unit 136 determines a schedule in which heat load training is performed once every three days. While the user 200 executes the schedule, if the training progress level created by the scheduler 136 cannot be achieved within the planned schedule, the scheduler 136 updates the schedule. By doing so, it becomes easier for the user 200 to complete heat load training.

Of course, the goal and training schedule of the user 200 are not limited to the full marathon example described above, and may be any goal and schedule corresponding thereto.

The output unit 137 outputs various information via the communication unit 11.

The output unit 137 outputs (transmits) the training information (type of training, intensity of training, time of training, clothes worn by user 200 during training) determined by determining unit 132 to terminal device 20 . The output unit 137 outputs (sends) the new training information determined by the determination unit 132 to the terminal device 20. The output unit 137 outputs (transmits) comparison result information regarding the comparison result by the comparison unit 134 to the terminal device 20. The output unit 137 outputs (transmits) evaluation result information regarding the training evaluation result by the evaluation unit 135 to the terminal device 20. The output unit 137 outputs (transmits) schedule information related to the training schedule determined by the schedule unit 136 to the terminal device 20. For example, the evaluation result information may include advice information indicating how to improve training. The advice information may include not only methods for improving training, but also information regarding behavior in daily life, sleep, or diet.

(2.4) Operation An example of the operation of the support system 100 will be briefly described below with reference to FIGS. 22 to 24.

FIG. 22 shows a flowchart of the operation of the support system 100 (information processing device 10) when the user 200 performs initial registration. The user 200 accesses the information processing device 10 using the terminal device 20 and registers as a user by creating his or her own account (ST1). At this time, unique identification information (ID) is assigned to each user 200. Identification information (ID) may be managed using a password.

Further, the user 200 inputs attribute information (attribute information that does not change over a long period of time), owned clothing information, etc., via the terminal device 20 while logged into his/her own account. The information processing device 10 acquires attribute information of the user 200 from the terminal device 20 (ST2), acquires information on owned clothing (ST3), and stores the information in the user information storage unit 121 in association with the identification information of the user 200. do. If the user 200 desires, operations such as user registration and input of attribute information may be performed by a representative (family member, trainer, etc.) of the user 200.

FIG. 23 shows a flowchart of the operation of the support system 100 (information processing device 10) when the user 200 performs training once according to the training information.

The user 200 logs into his or her account using the terminal device 20 and instructs the information processing device 10 to start training (ST101). The training start instruction may include information such as training implementation time, training location, training type, and the like. Note that the current time may be substituted for the start time of the training implementation. Furthermore, if the terminal device 20 has a GPS function, the location of the training may be substituted by the location of the terminal device 20 indicated by the GPS.

When instructed to start training, the information processing device 10 acquires attribute information of the user 200 (attribute information that may change over the medium term and initial temperature T0) (ST102). Note that the attribute information of the user 200 (attribute information that may change over the medium term) may be acquired in advance before the start instruction is issued.

The information processing device 10 acquires environmental information (environmental information that fluctuates in the short term) (ST103). The information processing device 10 acquires environmental information from measuring equipment, service providers, etc. installed at the training location.

The information processing device 10 also determines whether the user 200 has previously trained using the support system 100 (that is, whether there is a history of comparison results in the history information storage unit 1214). is determined (ST104).

If there is a history in the history information storage unit 1214 (ST104: Yes), the information processing device 10 (determination unit 132) determines training information based on at least the comparison result, attribute information, and environment information (ST105). Even if there is a history, for example, the date of the last training was so far in the past that the training effect was lost, or the weather was significantly different from the day of the last training, etc. If there are circumstances, the comparison results may not necessarily be referred to when determining training information. Furthermore, the comparison results referred to when determining training information are not limited to only the previous training, but may be results from multiple past trainings.

On the other hand, if there is no history (ST104: No), the information processing device 10 (determining unit 132) determines training information based on at least attribute information and environment information (ST106).

The information processing device 10 outputs the determined training information to the terminal device 20 by the output unit 137 (ST107).

The user 200 checks the training information output from the output unit 137 on the terminal device 20, and decides whether to adopt or not (ST108).

If the information indicating whether the training information is not adopted is obtained (ST108: No), the information processing device 10 performs a process of generating (determining) new training information in which the rejected elements are changed.

When the training information is adopted (ST108: Yes), the user 200 performs training according to the training information.

The information processing device 10 predicts the core body temperature (core body temperature transition) of the user 200 at the time of training based on the adopted training information (ST109). The user 200 performs training based on the adopted training information (ST110).

Further, after the training ends, the information processing device 10 acquires the measured value of the core body temperature (temperature during exercise) of the user 200 from the terminal device 20 (ST111).

The information processing device 10 compares the predicted value of core body temperature with the measured value of core body temperature (ST112), evaluates the training result based on the comparison result (ST113), and outputs the evaluation result to the terminal device 20 (ST113). ST114). The user 200 checks the training results on the terminal device 20.

FIG. 24 shows a flowchart of the operation of the support system 100 (information processing device 10) when the user 200 trains according to the training schedule.

The user 200 logs into his or her own account using the terminal device 20 and inputs goal information. The information processing device 10 acquires the input goal information (ST201), and determines a training schedule based on the goal information, user attribute information, etc. (ST202).

The user 200 performs training using the support system 100 (ST203). The flow of training using the support system 100 is as described using FIG. 23.

When the training is completed, the information processing device 10 determines whether the training result indicates that the heat load training has been achieved (ST204). If the training schedule has not been achieved (ST204: No), the information processing device 10 updates the training schedule.

If the training schedule is completed by completing the current training (ST206: Yes), the information processing device 10 completes the process. If the training schedule is not completed (ST206: No), the information processing device 10 waits for the next training. The information processing device 10 may notify the terminal device 20 when the next training scheduled in the training schedule approaches.

(3) Modifications Embodiments of the present disclosure are not limited to the above embodiments. The embodiments described above can be modified in various ways depending on the design, etc., as long as the objects of the present disclosure can be achieved. Further, functions similar to those of the information processing device 10 may be realized by an information processing method, a (computer) program, a non-temporary recording medium on which the program is recorded, or the like.

In the information processing method according to one aspect, attribute information regarding attributes of the user 200 is acquired (ST2, ST102), environmental information regarding the training environment of the user 200 is acquired (ST103), and based on at least the attribute information and the environmental information, , determines training information regarding the training that the user should perform (ST105, ST106), and outputs the determined training information (ST107).

Modifications of the above embodiment are listed below. In the following, the embodiment described above will be referred to as a "basic example". The basic example and the modified examples described below can be applied in combination as appropriate.

The support system 100 in the present disclosure includes, for example, a computer system in the information processing device 10 or the like. A computer system mainly consists of a processor and a memory as hardware. The functions of the information processing device 10 in the present disclosure are realized by a processor executing a program recorded in the memory of the computer system. The program may be pre-recorded in the memory of the computer system, may be provided through a telecommunications line, or may be recorded on a non-transitory storage medium readable by the computer system, such as a memory card, optical disc, hard disk drive, etc. may be provided. A processor in a computer system is comprised of one or more electronic circuits including semiconductor integrated circuits (ICs) or large scale integrated circuits (LSIs). The integrated circuits such as IC or LSI referred to herein have different names depending on the degree of integration, and include integrated circuits called system LSI, VLSI (Very Large Scale Integration), or ULSI (Ultra Large Scale Integration). Furthermore, an FPGA (Field-Programmable Gate Array), which is programmed after the LSI is manufactured, or a logic device that can reconfigure the connections inside the LSI or reconfigure the circuit sections inside the LSI, may also be used as a processor. I can do it. The plurality of electronic circuits may be integrated into one chip, or may be provided in a distributed manner over a plurality of chips. A plurality of chips may be integrated into one device, or may be distributed and provided in a plurality of devices. The computer system herein includes a microcontroller having one or more processors and one or more memories. Therefore, the microcontroller is also composed of one or more electronic circuits including semiconductor integrated circuits or large-scale integrated circuits.

Further, it is not an essential configuration of the support system 100 that a plurality of functions of each of the information processing device 10, the terminal device 20, and the measurement device 30 of the support system 100 are integrated into one housing. The components of the information processing device 10, the terminal device 20, or the measuring device 30 may be provided in a distributed manner in a plurality of housings. On the contrary, some of the functions of the information processing device 10, the terminal device 20, and the measuring device 30 may be integrated into one housing. For example, the information processing device 10 and the terminal device 20 may be integrated into one housing. Further, at least some of the functions of the support system 100, for example, at least some of the functions of the processing unit 13, etc., may be realized by, for example, a server or a cloud (cloud computing).

(3.1) Modification example 1
In the support system 100 of this modified example, as shown in FIG. 25, the information acquisition section 131 of the processing section 13 of the information processing device 10 is mainly configured by a pre-training information acquisition section 1317 ("pre-information acquisition section" in FIG. 25). The support system 100 is different from the support system 100 of the basic example in that it further includes the following. In this modification, the same components as those in the support system 100 of the basic example may be designated by the same reference numerals and the description thereof may be omitted as appropriate.

The pre-training information acquisition unit 1317 acquires pre-training information that is information about the user 200 related to training before the user 200 performs training.

The pre-training information may include health status information regarding the health status of the user 200 before training. The health status information may include information indicating at least one of the user's 200 physical condition, constitution, and behavior history. Examples of the physical condition of the user 200 include the presence or absence of accumulated fatigue, the presence or absence of diarrhea, the presence or absence of fever, the presence or absence of lack of sleep, and the presence or absence of a hangover. Examples of the physical constitution of the user 200 include whether the user is obese, whether the user has a history of heat stroke, and the like. The behavior history of the user 200 includes, for example, whether or not the user has moved between areas with large temperature differences, the amount of training the user did the previous day, and the like. An example of movement between regions with large temperature differences is movement from a region with a cool climate to a region with a hot climate, such as moving from a region located in the Northern Hemisphere to a region located in the Southern Hemisphere in a short period of time between the end of the year and the beginning of the new year. Examples include moving to a region in a short time, or conversely moving from a hot climate region to a cool climate region in a short time. For example, when the user 200 moves from a region with a cool climate to a region with a hot climate in a short period of time, the user's 200 body is not yet accustomed to the hot environment. Therefore, when determining the training information, it is preferable that the behavior history of the user 200 be taken into consideration.

The health status information can be acquired by the pre-training information acquisition unit 1317 of the processing unit 13 from the terminal device 20 via the communication network 40, for example.

Health status information may include information that may change in the short term and information that may change in the medium term.

Information that can change in the short term includes the user's 200 physical condition, behavior history, and the like.

Information that can change over the medium term includes the user's 200 constitution and the like.

Information that can change in the short term may be acquired every time the user 200 performs training. Information that can change in the short term is information that may change after the user 200 instructs to start training (ST101 in FIG. 23), or after acquiring attribute information of this user 200 (ST102), or after acquiring environmental information (ST103). It may be obtained each time afterwards. Information that can change in the short term is presented to the user 200 by, for example, displaying a question screen Sc1 with questions as shown in FIG. 26 on the image display device of the terminal device 20, and the user 200 The information may be obtained by answering a question using the device 20. In the question screen Sc1 of FIG. 26, the user 200 is presented with the following questions: presence of thirst, poor physical condition, lack of sleep, hangover, and excessive training the previous day. In response, the user 200 is allowed to select an answer from two options: "Yes" or "No." In particular, the questions on the question screen Sc1 in FIG. 26 are logical sums in which the result is "Yes" if there is a "Yes" answer to even one of the plurality of questions. In addition, in the question screen Sc1 of FIG. 26, the questions have two options, "Yes" or "No," but the options are not limited to this. It may be an multiple-choice format that allows selection from a plurality of stages. The terminal device 20 may output the question in sound using a voice output device. The terminal device 20 may receive a voice response from the user 200 using a voice input device.

It is preferable that information that may change over the medium term be registered once when the user 200 uses the system for the first time, and that the information be updated in a timely manner thereafter. Among the constitutions of the user 200, for example, the presence or absence of obesity is estimated by the information processing device 10 (processing unit 13) or an external processing device based on the height, weight, body fat percentage, etc. acquired by the attribute information acquisition unit 1311. You may.

The determining unit 132 may determine the training information further based on the health status information. The prediction formula may include health status information as a parameter.

The determining unit 132 may determine that training should not be performed based on the pre-training information. For example, when it is determined that training should not be performed based on the health status information acquired by the pre-training information acquisition unit 1317, the determination unit 132 determines that training should not be performed. For example, if there is a "Yes" answer to even one of the questions listed on the question screen Sc1 in FIG. 26, the determining unit 132 determines that training should not be performed. When determining that training should not be performed, the determining unit 132 does not create training information, for example. When it is determined that the training should not be performed, the information processing device 10 displays, for example, a warning screen Sc2 on the terminal device 20 of the user 200 indicating that the training menu as shown in FIG. 27 cannot be displayed. Good too.

The pre-training information may include warm-up information regarding a warm-up that the user 200 performs before training. The warm-up information may include at least one of whether a warm-up is performed, the type of warm-up, time, pace, and distance. Types of warm-up include running, walking, stretching, and the like. An example of a warm-up is running 1 km at a pace of 7 minutes/km.

The pre-training information acquisition unit 1317 of the processing unit 13 can acquire the warm-up information from the terminal device 20 via the communication network 40, for example.

The warm-up information is presented to the user 200 by, for example, displaying a question screen Sc3 with questions as shown in FIG. 28 on the image display device of the terminal device 20. may be obtained by answering questions. The terminal device 20 may output the question in sound using a voice output device. The terminal device 20 may receive a voice response from the user 200 using a voice input device. In the question screen Sc3 of FIG. 28, the user 200 is presented with questions about whether or not to perform a warm-up, and the pace and distance of running as a warm-up.

The determining unit 132 may determine training information further based on warm-up information of the pre-training information. The determining unit 132 may determine the first training intensity and the first period P1 further based on the warm-up information of the pre-training information. For example, the processing unit 13 uses the user's initial temperature T0 and the warm-up information to predict the core body temperature Tw at the warm-up end time tw when the warm-up period Pw has elapsed from the training start time t0 (Fig. 29). The determining unit 132 determines the first training intensity and the first period P1 by regarding the core body temperature Tw at the warm-up end time tw as the initial temperature of the user 200 in the first prediction formula. The first prediction formula and the second prediction formula used by the determining unit 132 to determine training information may be the same, for example, when performing a warm-up and when not performing a warm-up. In that case, as shown in FIG. 29, the time change in body temperature of the user 200 when performing a warm-up (see solid line A1 in FIG. 29) is different from the time change in the body temperature of the user 200 when not performing a warm-up (see solid line A1 in FIG. (see broken line A0 in No. 29), it is shifted backward by a time that takes into account the warm-up period Pw while maintaining its slope. In addition, in FIG. 29, the first period in which the first training is performed when performing a warm-up is shown as "P1", and the second period during which the second training is performed when performing the warm-up is shown as "P2". There is. In addition, in FIG. 29, for reference, the first period in which the first training is performed when no warm-up is performed is "P1A", and the second period during which the second training is performed when no warm-up is performed is "P2A". ”. Of course, the determining unit 132 may use different prediction formulas depending on whether warm-up is to be performed or not. A prediction formula for performing a warm-up may include warm-up information (pace, distance, etc.) as a parameter.

The pre-workout information may include water intake information regarding the water that the user 200 plans to ingest during training. The water intake information may include at least one of the following: presence or absence of water intake, water intake amount, water temperature, and intake timing.

The pre-training information acquisition unit 1317 of the processing unit 13 can acquire the intake water information from the terminal device 20 via the communication network 40, for example.

The water intake information is presented to the user 200 by, for example, displaying a question screen Sc3 with questions as shown in FIG. 28 on the image display device of the terminal device 20. may be obtained by answering questions. The terminal device 20 may output the question in sound using a voice output device. The terminal device 20 may receive a voice response from the user 200 using a voice input device. In the question screen Sc3 of FIG. 28, the user 200 is presented with questions about (planned) water intake, amount of water intake, water temperature (cold or room temperature), and intake timing.

The determining unit 132 may determine the training information further based on the water intake information of the pre-training information.

For example, the first prediction formula includes attribute information of the user 200 (e.g. initial temperature T0), clothing information (e.g. clo value), training intensity (e.g. set time), environmental information (e.g. temperature), pre-training information (e.g. , the amount of water ingested during training, the temperature of water, the timing of water intake), etc., may be included as parameters.

The second prediction formula also includes attribute information of the user 200 (for example, initial temperature T0), clothing information (for example, clo value), training intensity (for example, set time), environmental information (for example, temperature), and pre-training information (for example, , the amount of water ingested during training, the temperature of water, the timing of water intake), etc., may be included as parameters.

In this way, in the support system 100 of this modification, the processing unit 13 of the information processing device 10 includes the pre-training information acquisition unit 1317 that acquires pre-training information. The pre-training information includes at least health condition information regarding the health condition of the user 200 before training, warm-up information regarding the warm-up performed by the user 200 before training, and water intake information regarding the water consumed by the user 200 during training. may include one.

The health condition of the user 200 before training affects the core body temperature transition of the user 200 during training. For example, if you have accumulated fatigue from a long period of high-intensity training the previous day, your core body temperature will rise more easily than if you had not. By acquiring health status information regarding the health status of the user 200 before training, it is possible to infer the cause of a large difference in magnitude between the slope of the predicted core temperature transition TP and the slope of the measured core body temperature transition TR. Therefore, the accuracy of the training information presented to the user 200 can be improved, and the safety of the user 200 during training can be increased.

Furthermore, the warm-up that the user 200 performs before training and the water that he ingests during training can affect the transition of the user's 200 core body temperature during training. Therefore, by acquiring the warm-up information and/or the water intake information before training, it becomes possible to predict the core body temperature including the heat balance based on them, and the accuracy of the training information presented to the user 200 is improved.

(3.2) Modification 2
In the support system 100 of this modification, mainly, as shown in FIG. 30, the information acquisition unit 131 of the processing unit 13 of the information processing device 10 is connected to the training performance information acquisition unit 1318 (in FIG. 30, the “performance information acquisition unit”). The support system 100 is different from the support system 100 of the first modification in that the support system 100 further includes the following. In this modification, the same components as those in the support system 100 of Modification 1 may be denoted by the same reference numerals and the description thereof may be omitted as appropriate.

The training performance information acquisition unit 1318 acquires training performance information regarding the training performance actually performed by the user.

The training performance information may include at least one of the pace, time, and distance of the training performed by the user 200, the state of clothing worn during training, the amount of water consumed, the temperature of the water ingested, the timing of water intake, and environmental information. It is preferable that the training performance information is acquired every time the biological information acquisition unit 1314 (body temperature information acquisition unit 1319) acquires the measured value of the biological information (body temperature) of the user 200. The training performance information is presented to the user 200 by, for example, displaying a question screen Sc4 with questions as shown in FIG. 31 on the image display device of the terminal device 20. may be obtained by answering questions. The terminal device 20 may output the question in sound using a voice output device. The terminal device 20 may receive a voice response from the user 200 using a voice input device. The question screen Sc4 in FIG. 31 asks whether the training intensity (first training intensity: 5 minutes 30 seconds/km, second training intensity: 6 minutes 30 seconds/km) was achieved, and the training time (first period P1: 50 minutes). , second period P2: 20 minutes), how clothes were worn (I wore them according to the menu, took them off halfway, or rolled up my sleeves), the amount of water I actually drank, and the temperature of the water I drank (I wore it according to the menu, took it off halfway, or rolled up my sleeves), and the temperature of the water I drank. The user 200 is presented with questions regarding the timing of water intake (whether the water is at room temperature) and the timing of water intake.

At least part of the training performance information may be acquired via an information terminal (eg, terminal device 20) owned by the user 200. For example, the pace, time, distance, etc. of training (running, cycling, etc.) are measured by a device with a built-in GPS (tablet-type information terminal, wearable terminal such as a wristwatch-type information terminal, etc.), and the data is measured via a communication network. It may also be obtained by The state of clothing worn during training is determined by using technology such as image analysis, using images of the user 200 taken with a camera built into a mobile information terminal such as a smartphone or tablet, or a surveillance camera installed on the street. It may be estimated by analysis. The amount of water intake and the temperature of water intake may be estimated from the purchase information when the user 200 purchases a drink via a mobile information terminal such as a smartphone or tablet terminal, a wristwatch type information terminal, etc. before and after training. . The environmental information may be measured, for example, by an appropriate measuring device installed at the training location. The environmental information may be substituted with performance data provided by a service provider that provides weather information. The type of running course, ups and downs, altitude, etc. may be measured by, for example, a device with a built-in GPS (tablet-type information terminal, wristwatch-type information terminal, etc.) and acquired via a communication network.

As described in the basic example, the prediction unit 133 predicts the core body temperature of the user 200 when the user 200 performs training according to the training information. The prediction unit 133 uses the prediction formula to create a core body temperature transition (predicted core body temperature transition TP) of the user 200 during training.

In this modification, the prediction unit 133 predicts the core body temperature of the user 200 based on training performance information. For example, if the values of parameters included in the prediction formula are different between the pre-training information or the information at the time of training information determination and the training performance information, the prediction unit 133 uses the training performance information to (Re)predict core body temperature transition during 200 training sessions.

The first prediction formula includes attribute information of the user 200 (for example, initial temperature T0), clothing information (for example, clo value), training intensity (for example, actual running time), environmental information (for example, actual temperature value), and training The parameters may include the amount of water ingested, the temperature of water, the timing of water intake, the state of clothing worn, etc.

The second prediction formula includes attribute information of the user 200 (e.g. initial temperature T0), clothing information (e.g. clo value), training intensity (e.g. actual running time), environmental information (e.g. actual temperature value), training The parameters may include the amount of water ingested, the temperature of water, the timing of water intake, the state of clothing worn, etc.

With reference to FIG. 32, an example of an operation in which the information processing device 10 (prediction unit 133) of this modification predicts the transition of the core body temperature of the user 200 will be described. The operation of the information processing apparatus 10 of this modification is basically the same as the operation of the information processing apparatus 10 of the basic example explained in FIG. 23, but between steps ST110 and ST111 in FIG. The difference is that it further includes step ST303.

For example, the information processing device 10 predicts the core body temperature (core body temperature transition) of the user 200 at the time of training based on the adopted training information, pre-training information, etc. (ST109). The user 200 performs training according to the training information (ST110).

Subsequently, the information processing device 10 acquires training performance information (ST301). The information processing device 10 determines whether there is a difference between the content of the pre-training information and the content of the training performance information (ST302). If there is no difference (ST302: No), the information processing device 10 adopts the predicted core body temperature transition TP predicted in ST109 as the prediction result. On the other hand, if there is a difference (ST302: Yes), the information processing device 10 re-predicts the core body temperature (core body temperature transition) of the user 200 at the time of training based on the training performance information (ST303). The information processing device 10 then employs the predicted core body temperature transition TP predicted in ST303 as the prediction result. The subsequent steps (step ST110 onwards) are the same as in the basic example.

The comparison unit 134 compares the predicted value of core body temperature based on training performance information and the measured value of core body temperature.

The evaluation unit 135 evaluates the training result based on the comparison result by the comparison unit 134. The evaluation unit 135 evaluates the degree of achievement of heat load training. Evaluation result information representing the evaluation result is output to the terminal device 20 after the training is completed. Note that if the cause of the evaluation result is known from the pre-training information, training performance information, etc., the output unit 137 may output an explanation regarding the cause. For example, if it is estimated that heat load training has not been achieved due to excessive water intake during training, the output unit 137 may output an explanation to that effect.

The determining unit 132 may determine new training information based on the comparison result of the predicted value of core body temperature based on the training performance information and the measured value of core body temperature by the comparing unit 134.

In the support system 100 of this modification, the processing unit 13 of the information processing device 10 includes a training performance information acquisition unit 1318 that acquires training performance information. Therefore, by creating, comparing, and evaluating predicted values based on training performance information, it is possible to determine training information that is more suitable for the individual characteristics of the 200 users. Furthermore, by predicting core body temperature based on training performance information, the accuracy of predicting core body temperature during training is improved.

Note that in the support system 100 of this modification, it is not essential that the information processing device 10 include the pre-training information acquisition unit 1317. In that case, in the operation of the information processing device 10 (see FIG. 32), the step of the information processing device 10 predicting core body temperature transition based on training information and pre-training information (step S109 and step ST302) may be omitted. .

(3.3) Modification 3
The support system 100 of this modification differs from the support system 100 of the basic example mainly in that it has a function (notification unit 35) of notifying information regarding training to the user 200 who is undergoing training. In the support system 100 of this modified example, the same components as those of the support system 100 of the basic example may be given the same reference numerals and the description thereof may be omitted as appropriate.

As shown in FIG. 33, the measurement device 30 includes a measurement section 31, a communication section 32, a storage section 33, a notification section 35, and a housing 34.

The measuring device 30 of this modification transmits the body temperature (tympanic membrane temperature) measured by the measuring section 31 to the terminal device 20 in real time through the communication section 32. The body temperature information acquisition unit 1319 of the processing unit 13 of the information processing device 10 acquires the measured value of body temperature (tympanic membrane temperature) from the terminal device 20 in real time.

As described above, the prediction unit 133 predicts the core body temperature of the user 200 when the user 200 performs training based on the prediction formula. The prediction unit 133 generates a predicted value of core body temperature at any time after the user 200 starts training, before the user 200 starts training or when the user 200 is training.

The comparison unit 134 compares the measured value of body temperature (core body temperature) acquired in real time from the measurement device 30 via the terminal device 20 when the user 200 is training, and the core body temperature predicted by the prediction unit 133. Compare with the predicted value. The comparison unit 134 compares, for example, the slope of the measured value of body temperature (actually measured core body temperature transition TR) and the slope of the predicted value (predicted core body temperature transition TP).

The determining unit 132 redetermines training information (training pace, time, etc.) based on the comparison result by the comparing unit 134.

For example, in the first training, if the slope of the measured value of core body temperature is smaller than the slope of the predicted value of core body temperature, the determining unit 132 may increase the training pace and/or extend the training time. If the slope of the measured value of core body temperature is greater than the slope of the predicted value of core body temperature, the determining unit 132 may reduce the training pace and/or shorten the training time.

Furthermore, in the second training, if the slope of the measured value of core body temperature is smaller than the slope of the predicted value of core body temperature, the determining unit 132 may increase the training pace and/or extend the training time. If the slope of the measured value of core body temperature is larger than the slope of the predicted value of core body temperature, the determining unit 132 may reduce the training pace.

The timing of re-determining the training information may be when the first training is performed, at the end of the first training, or at the time when the second training is performed. Further, the timing of re-determining the training information may not be limited to once but may be multiple times.

The output unit 137 outputs the re-determined training information when the user 200 is training. The measuring device 30 receives the re-determined training information via the terminal device 20. The notification unit 35 of the measuring device 30 notifies the user 200 of the re-determined training information while the user 200 is training. As a method of notifying the user 200, for example, audio may be used. The information notified by the notification unit 35 is not limited to the re-determined training information itself, but may include, for example, a voice prompting the user to train in accordance with the re-determined training information, such as "Let's increase the pace a little more." There may be.

An example of an operation in which the support system 100 of this modification notifies the user 200 will be described with reference to FIG. 34. The operation of the support system 100 of this modification is performed during step ST110 of the basic example explained in FIG. 23 (when the user 200 is training).

For example, the information processing device 10 predicts in advance the predicted core body temperature transition TP of the user 200 when the user 200 performs training based on training information adopted by the user 200.

When the user 200 starts training, the measuring device 30 measures the user's 200 body temperature in real time and transmits it to the information processing device 10. The information processing device 10 acquires the body temperature of the user 200 in real time (ST401).

When the information processing device 10 acquires the measured value of body temperature (core body temperature) from the measuring device 30, it creates an actual measured core body temperature transition TR using the measured value acquired this time (and the measured value acquired before the previous time), and calculates the body temperature. The slope of the measured value (actually measured core body temperature transition TR) and the slope of the predicted value (predicted core body temperature transition TP) are compared in magnitude (ST402).

If there is no difference in the slope (ST403: No), the information processing device 10 determines that the user 200's body temperature (core body temperature) is changing as planned and that there is no need to modify the training content, and ends the current process. do. The user 200 continues training according to the current training information.

If there is a difference in the slope (ST403: Yes), the information processing device 10 determines that the training content needs to be modified, redetermines the training information (ST404), and notifies the user 200 via the measuring device 30 ( ST405). The user 200 continues training according to the re-determined training information.

Note that the determining unit 132 may redetermine the training information based on the magnitude relationship between the measured value and the predicted value of body temperature.

According to the support system 100 of this modification, the measured value and the predicted value of the user's 200 core body temperature are compared, training information is re-determined based on the comparison result, and the user is notified via the notification unit 35. . As a result, for example, when the slope of the measured value of core body temperature is smaller than the slope of the predicted value of core body temperature (when the degree of increase in core body temperature is smaller than predicted), the user 200 adjusts the core body temperature so that the core body temperature exceeds the threshold temperature Tth. This makes it possible to change training, increasing the success rate of heat load training. In addition, if the slope of the measured value of core body temperature is larger than the slope of the predicted value of core body temperature (if the degree of increase in core body temperature is greater than predicted), the core body temperature may become excessive (for example, 38.0°C to 39.0°C). It is possible to suppress the temperature from increasing (beyond the threshold temperature Th set in the range of 5° C.), and it is possible to prevent excessive heat load from being applied to the user 200.

(3.4) Modification example 4
The support system 100 of this modification differs from the support system 100 of the basic example mainly in that it has a normal mode and a test mode as operating modes. In the support system 100 of this modified example, the same components as those of the support system 100 of the basic example may be given the same reference numerals and the description thereof may be omitted as appropriate.

In the support system 100 of this modification, when determining training information, if a predetermined condition is satisfied, the user 200 is allowed to select whether to create training information in normal mode or test mode. It has a function. For example, when receiving an instruction to start training from the user 200 via the terminal device 20 (ST101 in FIG. 23), if predetermined conditions are met, the information processing device 10 provides the user 200 with training in the test mode. The user may be asked to respond via the terminal device 20 as to whether or not to implement it.

The predetermined conditions are, for example, that there is no comparison result by the comparison unit 134 (that is, this user 200 is the first user to conduct training using the support system 100), that the comparison result is in the past (for example, in the past three months) For example, the training level of the user 200 is estimated to be low. The predetermined condition may be receiving a predetermined instruction from the user 200 via the terminal device 20 .

If the user 200 answers that he/she desires training in the test mode, the determining unit 132 determines training information in the test mode. If the user 200 does not desire training in the test mode, the determining unit 132 may determine training information in the normal mode.

The test mode is a mode in which training information is determined so that the load on the user 200 is smaller than in the normal mode. For example, when the test mode is selected, the determining unit 132 determines training information (training intensity and training time) based on a threshold temperature Tth lower than that in the normal mode. For example, the threshold temperature Tth in the normal mode is a value within the range of 38.0° C. to 39.5° C., as explained in the basic example. On the other hand, the threshold temperature Tth in the test mode is a value within the range of 37.0°C to 38.5°C. That is, in the test mode, the determining unit 132 determines whether the core body temperature of the user 200 is equal to or higher than this relatively low threshold temperature Tth (a value within the range of 37.0°C to 38.5°C) for a predetermined period P0. Determine training information to be maintained.

An example of an operation in which the information processing device 10 (determining unit 132) of this modification determines training information will be described with reference to FIG. 35. The operation of the information processing apparatus 10 of this modification is basically the same as the operation of the information processing apparatus 10 of the basic example explained in FIG. 23, but steps ST104 to ST107 in FIG. They differ in that they are replaced.

For example, upon receiving an instruction to start training from the user 200 (ST101 in FIG. 23), the information processing apparatus 10 acquires attribute information and environment information (ST102 and ST103 in FIG. 23). The information processing device 10 also determines whether the user 200 has previously trained using the support system 100 (whether there is a history of comparison results in the history information storage unit 1214). (ST104).

If there is a history in the history information storage unit 1214 (ST104: Yes), the information processing device 10 (determination unit 132) determines whether the latest date on which the training was performed is in the past (more than 3 months past). (ST501).

If the latest training date is recent (S501: No), the information processing device 10 (determination unit 132) determines training information based on at least the comparison result, attribute information, and environment information. (ST502).

On the other hand, if there is no history (ST104: No) or if the latest training date is in the past (3 months or more past) (ST501: Yes), the information processing device 10 provides the user 200 with a test The user inquires whether to perform training in this mode (ST503).

If the user 200 answers that he or she wishes to perform training in test mode (ST503: Yes), information processing device 10 (determining unit 132) determines training information in test mode (ST504). . If the user 200 answers that he or she does not wish to train in the test mode (ST503: No), the information processing device 10 (determining unit 132) determines training information in the normal mode (ST505).

The information processing device 10 outputs the determined training information to the terminal device 20 by the output unit 137 (ST107).

If heat load training has not been carried out for a long time or if it is being carried out for the first time, there is a possibility that the heat load will be excessive at the threshold temperature Tth in the normal mode. In the support system 100 of this modification, it is possible to improve the safety of the user 200 by performing training from the test mode in which the threshold temperature Tth is lowered. Furthermore, if training is performed aiming at the threshold temperature Tth in the normal mode immediately after the start of training, the training pace may be too fast for some users 200, and the measured core body temperature may not be able to be completed. There is a possibility that it may not be possible to adequately compare the predicted value of core body temperature. By training at a relatively slow pace and accumulating comparison results, it is possible to improve the accuracy of training information.

(3.5) Other Modifications In a modification, the measuring device 30 may be a device that measures temperatures other than the eardrum temperature of the user 200. For example, the measuring device 30 may be a device that measures the temperature of a portion other than the eardrum that is considered to be the core body temperature of the human body, such as under the armpit, under the tongue, rectum, esophagus, or above the umbilicus. The measuring device 30 may estimate the core body temperature from the measured temperature value based on a predetermined conversion formula or algorithm. It is preferable that the measuring device 30 is configured in such a manner that it does not easily disturb the user 200 during training. The measuring device 30 may be, for example, a wristwatch type device. The measuring device 30 may be, for example, a patch-type device that is attached to a part of the human body (above the navel, below the armpit).

In a modified example, the measuring device 30 may be a device that measures the body surface temperature of the user 200 as the user's 200 body temperature. The body temperature information acquisition unit 1319 may acquire the body surface temperature measured by the measuring device 30 as the measured value of the user's 200 body temperature. The determining unit 132 may determine training information regarding the training that the user 200 should perform based on at least information on the measured value of body temperature (body surface temperature), attribute information, and environmental information.

In a modified example, the biological information measured by the measuring device 30 may be biological information that does not include the eardrum temperature, such as heart rate and whole body sweat amount, or heart rate, temperature inside clothes, and humidity inside clothes. The eardrum temperature is one piece of information that can accurately reflect the training load that the user 200 is undergoing, but by combining multiple pieces of biological information, it is possible to understand the training load without measuring the eardrum temperature. Therefore, the number of measurement devices worn by the user 200 can be reduced, and the burden on the user 200 can be reduced.

In a modified example, the determining unit 132 determines new training information regarding a new training that the user 200 should perform based on information on measured values of biological information (other than body temperature), attribute information, and environmental information of the user 200. You may.

In a modified example, the measurement device 30 may substitute biological information acquired by an information terminal (smartphone, smart watch, etc.) owned by the user 200, which simplifies the device and improves the user's 200. Improved usability. In addition to the biometric information measured by the measuring device 30, the information processing device 10 takes in biometric information acquired by an information terminal (smartphone, smart watch, etc.) owned by the user 200, and performs calculations to reduce the complexity of the device. This makes it possible to propose training menus (training information) with higher accuracy while avoiding problems. The information processing device 10 does not necessarily have to use the biological information measured by the measuring device 30; for example, the information processing device 10 uses biological information acquired by an information terminal (smartphone, smart watch, etc.) owned by the user 200. You can also import information.

In a modified example, the information processing device 10 stores physical information such as stride, pitch, ground contact time, left-right balance, vertical movement, and vertical movement ratio of the user 200 during training as information other than biological information. You may also obtain information regarding specific indicators. These physical indicators can also be measured with an information terminal such as a smartphone or smart watch. By combining biological information and physical indicators, it becomes possible to more accurately estimate the exercise load imposed on the user 200, and the accuracy of the training menu (training information) can be further improved.

In a modified example, the body temperature information acquisition unit 1319 may directly acquire body temperature information from the measurement device 30. That is, the terminal device 20 does not necessarily need to acquire body temperature information from the measuring device 30. In this case, it is preferable that the communication unit 32 of the measurement device 30 conforms to the first communication protocol. Further, the body temperature information does not necessarily need to be acquired by the measuring device 30, and the user 200 may measure the body temperature himself and then input it to the terminal device 20 using the input unit 21 of the terminal device 20. . In this case, the user 200 may measure body temperature under the armpit or under the tongue.

In a modified example, the storage unit 12 does not need to store all of the above information. For example, environmental information, clothing information, etc. that are subject to short-term fluctuations may be appropriately acquired from an external server or the like when the determining unit 132 actually performs processing.

In a modified example, the information processing device 10 is not limited to determining the second training so as to maintain the core body temperature of the user 200 constant; for example, the information processing device 10 determines the second training so as to increase or decrease the core body temperature of the user 200. may be determined. In this case, the slope δ of the predicted core body temperature transition TP at the time of performing the second training, which is calculated by the comparison unit 134, may take a value other than 0. Even when determining the second training to increase or decrease the core body temperature of the user 200, the information processing device 10 preferably performs the second training so that the core body temperature of the user 200 is maintained at or above the threshold temperature Tth. 2 training intensity may be determined.

In a modified example, the information processing device 10 does not need to include the prediction unit 133 and the comparison unit 134. The determining unit 132 may determine new training information based only on the measured core body temperature transition TR so that the core body temperature of the user 200 is maintained at or above the T0 threshold temperature Tth for a predetermined period. However, it is easier to determine new training information based on the comparison result between the predicted core body temperature transition TP obtained based on the initial temperature T0, etc. and the measured core body temperature transition TR. preferable. Note that the actual measured core body temperature transition TR can also be estimated from measured values of biological information other than body temperature.

In a modified example, the determining unit 132 may determine training information using a learned model. The learned model here receives, for example, at least attribute information and environment information (and comparison results) as input, and outputs training information. In this case, the storage unit 12 of the information processing device 10 may include a trained model storage unit that stores a trained model in place of or in addition to the prediction formula storage unit 125.

In a variation, the determining unit 132 may determine the training information using a data table.

In a modified example, the determining unit 132 may have the user 200 determine the type (event) of each type in addition to the type of training. For example, when running is selected as the type of training, the determining unit 132 presents the user 200 with a pace run, an interval run, a build-up run, etc. as a plurality of selection candidates regarding the type of running. The determining unit 132 determines the selection candidate selected by the user 200 from among the presented selection candidates as the type of training (running) to be performed.

In a variation, the user 200 may be able to specify the start and end times of the training. In this case, the determining unit 132 may determine the intensity of the training, etc. so that the heat load training can be achieved in the time between the start time and end time of the training.

In a modified example, the evaluation result information output by the output unit 137 may be changed according to feedback from the user 200. For example, the information processing device 10 receives feedback from the user 200 regarding evaluation result information (for example, advice information) presented (displayed) on the terminal device 20 . For example, if the user 200 feels that the evaluation results are the same each time he/she trains and the reliability of the evaluation results is low, the user 200 provides feedback that the evaluation results are not good. In this case, the output unit 137 may, for example, output evaluation results with different contents in subsequent evaluation results.

(4) Aspects As is clear from the above embodiments and modifications, the present disclosure includes the following aspects.

The information processing device (10) of the first aspect includes an attribute information acquisition section (1311), an environment information acquisition section (1315), a determination section (132), and an output section (137). The attribute information acquisition unit (1311) acquires attribute information regarding attributes of the user (200). The environmental information acquisition unit (1315) acquires environmental information regarding the training environment of the user (200). The determining unit (132) determines training information regarding the training that the user (200) should perform based on at least the attribute information and the environment information. The output unit (137) outputs the training information determined by the determination unit (132).

According to this aspect, training information suitable for the user (200) can be provided.

In the information processing device (10) of the second aspect, in the first aspect, the training information includes at least one of training type, training intensity, training time, and clothing worn by the user (200) during training. including.

According to this aspect, training information suitable for the user (200) can be provided.

In the information processing device (10) of the third aspect, in the second aspect, the training information includes a combination of training intensity and clothing worn by the user (200) during training.

According to this aspect, training information suitable for the user (200) can be provided.

The information processing device (10) of the fourth aspect, in the second or third aspect, further includes a possessed clothing information storage unit (1212) that stores information on clothing that can be used by the user (200). The determining unit (132) selects the clothing of the user (200) from among the clothing stored in the owned clothing information storage unit (1212).

According to this aspect, the possibility that clothes that cannot be used by the user (200) will be suggested is reduced, and convenience for the user (200) is improved.

The information processing device (10) of the fifth aspect, in any one of the first to fourth aspects, further includes a biological information acquisition unit (1314). The biological information acquisition unit (1314) acquires the measured value of the user's (200) biological information, which is measured when the user (200) performs training according to the training information. The determining unit (132) determines new training information regarding a new training to be performed by the user (200) based on at least the measured value information of the biological information, the attribute information, and the environmental information. The output unit (137) outputs the new training information determined by the determination unit (132).

According to this aspect, new training information is determined based on the measured values of the user's (200) biological information measured during training, so it is possible to provide training information that is more suitable for the user (200). It becomes possible.

In the information processing device (10) of the sixth aspect, in the fifth aspect, the biological information acquisition section (1314) includes a body temperature information acquisition section (1319). The body temperature information acquisition unit (1319) acquires the measured value of the user's (200) body temperature, which is measured when the user (200) performs training according to the training information. The determining unit (132) determines new training information regarding a new training to be performed by the user (200) based on at least the information on the measured value of body temperature, the attribute information, and the environment information.

According to this aspect, new training information is determined based on the measured value of the user's (200) body temperature during training, so it is possible to provide training information that is more suitable for the user (200). becomes.

In the information processing device (10) of the seventh aspect, in the sixth aspect, the body temperature information acquisition unit (1319) receives the measured value of the user's (200) core body temperature as the measured value of the user's (200) body temperature. get.

According to this aspect, it is possible to generate (determine) training information that makes it easier for the user (200) to accomplish heat load training.

In the information processing device (10) of the eighth aspect, in the seventh aspect, the body temperature information acquisition unit (1319) measures the eardrum temperature of the user (200) as the measurement value of the user's (200) core body temperature. Obtain the temperature measured by the measuring device (30).

According to this aspect, it becomes possible to non-invasively acquire the measured value of the user's (200) core body temperature, and the burden on the user (200) during training is reduced. Moreover, it becomes possible to provide training information more suitable for the user (200).

The information processing device (10) of the ninth aspect, in any one of the sixth to eighth aspects, further includes a prediction section (133) and a comparison section (134). The prediction unit (133) predicts the body temperature of the user (200) when the user (200) performs training according to the training information determined by the determination unit (132). The comparison unit (134) compares the predicted value of the user's (200) body temperature predicted by the prediction unit (133) and the measured value of the user's (200) body temperature acquired by the body temperature information acquisition unit (1319). . A determining unit (132) determines new training information regarding a new training to be performed by the user (200) based on at least the comparison result from the comparing unit (134), the attribute information, and the environment information. The output unit (137) outputs the new training information determined by the determination unit (132).

According to this aspect, new training information is determined based on the comparison result, so it is possible to provide training information that is more suitable for the user (200).

The information processing device (10) of the tenth aspect includes a prediction unit (133), a body temperature information acquisition unit ( 1319 ), and a comparison unit (134) in any one of the first to fourth aspects. Prepare more. The prediction unit (133) predicts the body temperature of the user (200) when the user (200) performs training according to the training information determined by the determination unit (132). The body temperature information acquisition unit ( 1319 ) acquires the measured value of the user's (200) body temperature, which is measured when the user (200) performs training according to the training information. The comparison unit (134) compares the predicted value of the user's (200) body temperature predicted by the prediction unit (133) and the measured value of the user's (200) body temperature acquired by the body temperature information acquisition unit ( 1319 ). . A determining unit (132) determines new training information regarding a new training to be performed by the user (200) based on at least the comparison result from the comparing unit (134), the attribute information, and the environment information. The output unit (137) outputs the new training information determined by the determination unit (132).

According to this aspect, new training information is determined based on the comparison result, so it is possible to provide training information that is more suitable for the user (200).

In the information processing device (10) of the eleventh aspect, in the tenth aspect, the body temperature information acquisition unit ( 1319 ) performs measurement to measure the eardrum temperature of the user (200) as the measured value of the body temperature of the user (200). Obtain the temperature measured by the device (30).

According to this aspect, it becomes possible to non-invasively acquire the measured value of the user's (200) core body temperature, and the burden on the user (200) during training is reduced. Moreover, it becomes possible to provide training information more suitable for the user (200).

In the information processing device (10) of the twelfth aspect, in any one of the ninth to eleventh aspects, the body temperature information acquisition unit (1319) further includes the measurement device (30) before performing training according to the training information. ) to obtain the initial temperature (T0), which is the body temperature of the user (200). The prediction unit (133) predicts the body temperature of the user (200) when training is performed, based on at least the initial temperature (T0) and the training information.

According to this aspect, the accuracy of the prediction result of the user's (200) body temperature by the prediction unit (133) is improved, and it becomes possible to provide training information more suitable for the user (200).

The information processing device (10) of the thirteenth aspect further includes an evaluation section (135) in any one of the ninth to twelfth aspects. The evaluation unit (135) evaluates the training results of the user (200) who has performed training according to the training information, based on the comparison results.

According to this aspect, it becomes possible to check the training evaluation results.

The information processing device (10) of the fourteenth aspect further includes a target information acquisition section (1313) and a schedule section (136) in the thirteenth aspect. The goal information acquisition unit (1313) acquires goal information regarding the user's (200) goals. The schedule unit determines a training schedule for the user (200) based on the goal information. The schedule unit (136) updates the training schedule based on the evaluation result by the evaluation unit (135).

According to this aspect, a training schedule can be created based on the training evaluation results, and training information more suitable for the user (200) can be provided.

In the information processing device (10) of the fifteenth aspect, in any one of the sixth to fourteenth aspects, the body temperature information acquisition unit (1319) is configured to The temperature obtained by continuously measuring the body temperature of (200) is obtained.

According to this aspect, it becomes possible to provide training information more suitable for the user (200).

The information processing device (10) of the sixteenth aspect, in any one of the first to fifteenth aspects, further includes a pre-training information acquisition unit (1317). The pre-training information acquisition unit (1317) acquires pre-training information that is information about the user (200) regarding training before the user (200) performs the training. The determining unit (132) determines training information further based on the pre-training information.

According to this aspect, since the determining unit (132) determines the training information based on the pre-training information, it is possible to provide training information that is more suitable for the user (200).

In the information processing device (10) of the seventeenth aspect, in the sixteenth aspect, the pre-training information includes health condition information regarding the health condition of the user (200) before the training; The user (200) includes at least one selected from the group consisting of warm-up information related to a warm-up to be performed, and water intake information related to water that the user (200) plans to ingest during training.

According to this aspect, the pre-training information that the determining unit (132) refers to when determining the training information includes at least one of health condition information, warm-up information, and water intake information, which makes it easier for users to It becomes possible to provide training information suitable for (200).

The information processing device (10) of the eighteenth aspect, in any one of the first to seventeenth aspects, further includes a training performance information acquisition unit (1318). The training performance information acquisition unit (1318) acquires training performance information regarding the training performance performed by the user (200). The determining unit (132) determines new training information regarding new training that the user (200) should perform based on at least the training track record information, attribute information, and environment information. The output unit (137) outputs the new training information determined by the determination unit (132).

According to this aspect, new training information is determined based on the training performance information, so it is possible to provide training information that is more suitable for the user (200).

In the information processing device (10) of the nineteenth aspect, in any one of the first to eighteenth aspects, the determining unit (132) determines the training information using the prediction formula, the data table, or the learned model. do.

According to this aspect, training information suitable for the user (200) can be provided.

In the information processing device (10) according to the twentieth aspect, in any one of the first to nineteenth aspects, the determining unit (132) determines whether the core body temperature of the user (200) is high for a predetermined period when training is performed. (P0), training information is determined so that the temperature is maintained at or above the threshold temperature (Tth).

According to this aspect, an improvement in the user's (200) endurance exercise ability and/or performance can be expected.

In the information processing device (10) of the 21st aspect, in the 20th aspect, the training information includes training intensity and training time. The training intensity includes a first training intensity that causes the core body temperature of the user (200) to reach the threshold temperature (Tth) after the first period (P1) has elapsed from the start of the training, and a first training intensity that causes the user's (200) core body temperature to reach the threshold temperature (Tth), and the first period (P1). a second period (P2) as a predetermined period (P0) after the elapse of , and a second training intensity for maintaining the core body temperature of the user (200) at a temperature equal to or higher than the threshold temperature (Tth). The second training intensity is equal to or less than the first training intensity.

According to this aspect, it is possible to expect an improvement in the user's (200) endurance exercise ability and/or performance.

The information processing device (10) of the twenty-second aspect, in any one of the first to twenty-first aspects, further includes an availability information acquisition unit (1316). The availability information acquisition unit (1316) acquires availability information indicating whether or not the training information outputted from the output unit (137) can be adopted. A determining unit (132) determines new training information different from the training information when adoption of the training information is denied based on the availability information.

According to this aspect, the user (200) can select training according to his/her preference.

A support system (100) according to a twenty-third aspect includes the information processing device (10) according to any one of the first to twenty-second aspects, and a terminal device (20) that presents information output from an output unit (137). and.

According to this aspect, training information suitable for the user (200) can be provided.

In the support system (100) of the twenty-fourth aspect, in the twenty-third aspect, the terminal device (20) includes an input section (21) that receives input of attribute information, and an input section (21) that receives attribute information input to the input section (21). It further includes a communication unit (first communication unit 231) that transmits data to the information processing device (10).

According to this aspect, the user (200) can input attribute information using the terminal device (20), improving convenience for the user (200).

The terminal device (20) of the twenty-fifth aspect is used as a terminal device (20) in the support system (100) of the twenty-third or twenty-fourth aspect.

A support system (100) according to a twenty-sixth aspect includes the information processing device (10) according to any one of the first to twenty-second aspects, and a measuring device (30) that measures biological information of a user (200). Be prepared. The determining unit (132) determines training information based on at least the biometric information, attribute information, and environmental information of the user (200) measured by the measuring device (30).

According to this aspect, training information suitable for the user (200) can be provided.

In the support system (100) of the twenty-seventh aspect, in the twenty-sixth aspect, the measuring device (30) includes a notification unit ( 35).

According to this aspect, training information can be reported to the user (200) during training, increasing the success rate of heat load training and preventing excessive heat load from being applied to the user (200). It becomes possible to do so.

In the information processing method of the twenty-eighth aspect, attribute information regarding attributes of the user (200) is acquired, environmental information regarding the training environment of the user (200) is acquired, and based on at least the attribute information and the environmental information, the user ( 200) determines training information regarding training to be performed and outputs the determined training information.

According to this aspect, training information suitable for the user (200) can be provided.

The program of the twenty-ninth aspect is a program for causing one or more processors to execute the information processing method of the twenty-eighth aspect.

10 Information processing device 1212 Owned clothing information storage unit 1311 Attribute information acquisition unit 1313 Target information acquisition unit 1314 Biological information acquisition unit 1315 Environmental information acquisition unit 1316 Availability information acquisition unit 1317 Pre-training information acquisition unit 1318 Training performance information acquisition unit 1319 Body temperature information Acquisition unit 132 Determination unit 133 Prediction unit 134 Comparison unit 135 Evaluation unit 136 Schedule unit 137 Output unit 20 Terminal device 21 Input unit 231 First communication unit (communication unit)
30 Measuring device 35 Notification unit 100 Support system 200 User T0 Initial temperature Tth Threshold temperature P0 Predetermined period P1 First period P2 Second period

Claims (31)

an attribute information acquisition unit that acquires attribute information regarding user attributes;
an environmental information acquisition unit that acquires environmental information regarding the training environment of the user;
a determining unit that determines training information regarding training that the user should perform based on at least the attribute information and the environment information;
an output unit that outputs the training information determined by the determination unit;
Equipped with
The training information includes a combination of the intensity of the training and clothing of the user during the training.
Information processing device. an attribute information acquisition unit that acquires attribute information regarding user attributes;
an environmental information acquisition unit that acquires environmental information regarding the training environment of the user;
a determining unit that determines training information regarding training that the user should perform based on at least the attribute information and the environment information;
an output unit that outputs the training information determined by the determination unit;
a possessed clothing information storage unit that stores information on clothing that can be used by the user;
Equipped with
The training information includes at least one of the type of training, the intensity of the training, the time of the training, and the clothes worn by the user during the training,
The determining unit selects clothing of the user from among clothing stored in the owned clothing information storage unit.
Information processing device. The determining unit determines the training information such that the user's core body temperature is maintained at a threshold temperature or higher for a predetermined period when the training is performed.
The information processing device according to claim 1 or 2. an attribute information acquisition unit that acquires attribute information regarding user attributes;
an environmental information acquisition unit that acquires environmental information regarding the training environment of the user;
a determining unit that determines training information regarding training that the user should perform based on at least the attribute information and the environment information;
an output unit that outputs the training information determined by the determination unit;
Equipped with
The determination unit determines the training information such that the user's core body temperature is maintained at a threshold temperature or higher for a predetermined period when the training is performed;
The training information includes the intensity of the training and the time of the training,
The intensity of the training is
a first training intensity that causes the core body temperature of the user to reach the threshold temperature at the time when a first period has elapsed from the start of the training;
a second training intensity that maintains the core body temperature of the user at a temperature equal to or higher than the threshold temperature during a second period as the predetermined period after the first period;
including;
The second training intensity is equal to or less than the first training intensity,
Information processing device. The training information includes at least one of the type of training, the intensity of the training, the time of the training, and the clothes worn by the user during the training.
The information processing device according to claim 4. The information processing device further includes a biological information acquisition unit that acquires a measured value of biological information of the user, which is measured when the user performs the training according to the training information,
The determining unit determines new training information regarding a new training that the user should perform, based on at least information on the measured value of the biological information, the attribute information, and the environmental information,
The output unit outputs the new training information determined by the determination unit,
The information processing device according to any one of claims 1 to 5. The biological information acquisition unit includes a body temperature information acquisition unit that acquires a measured value of the user's body temperature, which is measured when the user performs the training according to the training information,
The determination unit determines new training information regarding a new training that the user should perform, based on at least information on the body temperature measurement value, the attribute information, and the environment information.
The information processing device according to claim 6. The body temperature information acquisition unit acquires a measured value of the user's core body temperature as the measured value of the user's body temperature.
The information processing device according to claim 7. The body temperature information acquisition unit acquires a temperature measured by a measuring device that measures the eardrum temperature of the user as a measurement value of the user's core body temperature.
The information processing device according to claim 8. The information processing device includes:
a prediction unit that predicts the body temperature of the user when the user performs the training according to the training information determined by the determination unit;
a comparison unit that compares the predicted value of the user's body temperature predicted by the prediction unit and the measured value of the user's body temperature acquired by the body temperature information acquisition unit;
further comprising;
The determination unit determines new training information regarding a new training that the user should perform, based on at least the comparison result of the comparison unit, the attribute information, and the environment information,
The output unit outputs the new training information determined by the determination unit,
The information processing device according to any one of claims 7 to 9. an attribute information acquisition unit that acquires attribute information regarding user attributes;
an environmental information acquisition unit that acquires environmental information regarding the training environment of the user;
a determining unit that determines training information regarding training that the user should perform based on at least the attribute information and the environment information;
an output unit that outputs the training information determined by the determination unit;
a prediction unit that predicts the body temperature of the user when the user performs the training according to the training information determined by the determination unit;
a body temperature information acquisition unit that acquires a measured value of the user's body temperature, which is measured when the user performs the training according to the training information;
a comparison unit that compares the predicted value of the user's body temperature predicted by the prediction unit and the measured value of the user's body temperature acquired by the body temperature information acquisition unit;
Equipped with
The determination unit determines new training information regarding a new training that the user should perform, based on at least the comparison result of the comparison unit, the attribute information, and the environment information,
The output unit outputs the new training information determined by the determination unit,
Information processing device. The body temperature information acquisition unit acquires a temperature measured by a measuring device that measures the eardrum temperature of the user as the measurement value of the user's body temperature.
The information processing device according to claim 11. The body temperature information acquisition unit further acquires an initial temperature that is the body temperature of the user measured before implementing the training according to the training information,
The prediction unit predicts the user's body temperature when the training is performed based on at least the initial temperature and the training information.
The information processing device according to any one of claims 10 to 12. further comprising an evaluation unit that evaluates a training result of the user who has performed the training according to the training information, based on the comparison result;
The information processing device according to any one of claims 10 to 13. a goal information acquisition unit that acquires goal information regarding the user's goals;
a scheduler that determines a training schedule for the user based on the goal information;
further comprising;
The schedule unit updates the training schedule based on the evaluation result by the evaluation unit.
The information processing device according to claim 14. The body temperature information acquisition unit acquires a temperature obtained by continuously measuring the body temperature of the user when the user performs the training according to the training information.
The information processing device according to any one of claims 7 to 15. Further comprising a pre-training information acquisition unit that acquires pre-training information that is information about the user regarding the training before the user performs the training,
The determining unit determines the training information further based on the pre-training information.
The information processing device according to any one of claims 1 to 16. The pre-training information includes health condition information regarding the health condition of the user before the training, warm-up information regarding the warm-up that the user performs before the training, and information on what the user plans to consume during the training. including at least one selected from the group consisting of intake water information regarding water;
The information processing device according to claim 17. further comprising a training performance information acquisition unit that acquires training performance information regarding the training performance performed by the user;
The determination unit determines new training information regarding new training that the user should perform, based on at least the training performance information, the attribute information, and the environment information,
The output unit outputs the new training information determined by the determination unit,
The information processing device according to any one of claims 1 to 18. The determining unit determines the training information using a prediction formula, a data table, or a learned model.
The information processing device according to any one of claims 1 to 19. further comprising a propriety information acquisition unit that acquires propriety information indicating propriety of employment for the training information outputted from the output unit,
The determining unit determines new training information that is different from the training information when the adoption of the training information is denied in the availability information.
The information processing device according to any one of claims 1 to 20. The information processing device according to any one of claims 1 to 21,
a terminal device that presents information output from the output unit;
Equipped with
support system. The terminal device includes an input unit that receives input of the attribute information;
a communication unit that transmits the attribute information input to the input unit to the information processing device;
further comprising;
The support system according to claim 22. Used as the terminal device in the support system according to claim 22 or 23,
Terminal device. The information processing device according to any one of claims 1 to 21;
a measuring device that measures biometric information of the user;
Equipped with
The determining unit determines the training information based on at least the user's biological information measured by the measuring device, the attribute information, and the environmental information.
support system. The measuring device includes a notification unit that notifies the user of information regarding the training when the user performs the training.
The support system according to claim 25. Obtain attribute information regarding the user's attributes,
obtaining environmental information regarding the user's training environment;
determining training information regarding training that the user should perform based on at least the attribute information and the environment information;
outputting the determined training information;
The training information includes a combination of the intensity of the training and clothing of the user during the training.
Information processing method. Obtain attribute information regarding the user's attributes,
obtaining environmental information regarding the user's training environment;
determining training information regarding training that the user should perform based on at least the attribute information and the environment information;
outputting the determined training information;
The training information includes at least one of the type of training, the intensity of the training, the time of the training, and the clothes worn by the user during the training,
In determining the training information, selecting clothing of the user from among clothing stored in a possession clothing information storage unit that stores information on clothing available to the user;
Information processing method. Obtain attribute information regarding the user's attributes,
obtaining environmental information regarding the user's training environment;
determining training information regarding training that the user should perform based on at least the attribute information and the environment information;
outputting the determined training information;
In determining the training information, determining the training information such that the core body temperature of the user is maintained at or above a threshold temperature for a predetermined period when the training is performed;
The training information includes the intensity of the training and the time of the training,
The intensity of the training is
a first training intensity that causes the core body temperature of the user to reach the threshold temperature at the time when a first period has elapsed from the start of the training;
a second training intensity that maintains the core body temperature of the user at a temperature equal to or higher than the threshold temperature during a second period as the predetermined period after the first period;
including;
The second training intensity is equal to or less than the first training intensity,
Information processing method. Obtain attribute information regarding the user's attributes,
obtaining environmental information regarding the user's training environment;
determining training information regarding training that the user should perform based on at least the attribute information and the environment information;
outputting the determined training information;
predicting the user's body temperature when the user performs the training according to the determined training information;
obtaining a measured value of the user's body temperature measured when the user performs the training according to the training information;
Comparing the predicted value of the user's body temperature with the obtained measured value of the user's body temperature,
determining new training information regarding a new training that the user should perform, based on at least a comparison result of a predicted value of the user's body temperature and a measured value of the user's body temperature, the attribute information, and the environmental information;
outputting the determined new training information;
Information processing method. for causing one or more processors to execute the information processing method according to any one of claims 27 to 30,
program.

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