JP5954352B2 - Information processing apparatus and program - Google Patents

Description

  The present invention relates to a technical field that proposes an exercise performed by a user.

  For example, Patent Literature 1 discloses a technique for proposing a training menu for improving a user's athletic ability based on the user's physical characteristics and athletic ability. In Patent Document 2, as a reason why the user cannot continue the proposed exercise, it is determined whether the exercise load does not match the user or the user is bored with the exercise, and the proposed exercise or exercise load is changed. Techniques to do this are disclosed.

JP 2011-189014 A JP 2013-070843 A

  However, although the conventional technique determines the reason why the exercise cannot be continued, the user's preference is not taken into consideration. Even if exercise is proposed, the user may not be able to continue the exercise if the exercise does not meet the user's preference.

  This invention is made in view of the above point, and makes it a subject to provide the information processing apparatus and program which can show the exercise | movement suitable for a user's preference.

In order to solve the above-mentioned problem, the invention according to claim 1 is characterized in that proposed exercise identification information proposed from a plurality of exercise identification information, user identification information representing a user to whom the proposed exercise identification information is proposed, Are associated with each other and stored in the first storage means, execution exercise identification information indicating exercise executed in the plurality of exercise identification information, and user identification information representing a user who executed the exercise, The second control means for storing the information in the second storage means, the first acquisition means for acquiring the specific user identification information representing the specific user, the first storage means and the second storage means And determining whether or not the specific suggested exercise identification information associated with the specific user identification information is greater than or equal to the predetermined value in the specific execution exercise identification information associated with the specific user identification information. 1 judgment means When it is determined by the first determination means that the specific proposed exercise identification information is greater than or equal to a predetermined value in the specific execution exercise identification information, each of the plurality of exercise identification information and the plurality of exercise identification information The exercise type information associated with the specific proposed exercise identification information is acquired from the third storage means for associating and storing the exercise type information representing the exercise for the individual or the exercise for the group as the exercise type. 2 Referring to the acquisition means and the third storage means, the output means outputs one or more pieces of exercise identification information associated with the exercise type information acquired by the second acquisition means as proposed exercise identification information. And suggesting means for outputting.

According to claim 2 invention, in prior Symbol said motion type information associated with the acquired motion identification information by the second acquisition means, the motion type information and for populations representing the movement of personal The apparatus further comprises second determination means for determining which of the exercise type information representing exercise is greater, and the suggestion means is associated with the exercise type information determined to be greater by the second determination means. The above motion identification information is output.

  According to a third aspect of the present invention, the first determination unit determines whether a ratio between the number of the specific execution exercise identification information and the number of the specific proposed exercise identification information is a predetermined value or more, When the first determination unit determines that the ratio is equal to or greater than a predetermined value, the second acquisition unit obtains exercise type information associated with the specific execution exercise identification information from the third storage unit. It is characterized by acquiring.

  The invention according to claim 4 stores user identification information for identifying a user, body composition information indicating the body composition of the user, and date information indicating a date on which the body composition is registered in association with each other. 3rd determination means for determining whether a difference in body composition within a predetermined period is less than or equal to a predetermined value among the body composition information stored in association with the specific user identification information in 4 storage means; When it is determined by the third determination means that the difference in the body composition is less than or equal to a predetermined value, the suggestion means performs the exercise for the individual in the exercise type information acquired by the second acquisition means. One or more pieces of exercise identification information associated with the exercise type information to be expressed, the exercise identification information representing an exercise load larger than a predetermined exercise load being output.

The invention according to claim 5 associates the proposed exercise identification information proposed from the plurality of exercise identification information with the user identification information representing the user to whom the proposed exercise identification information is proposed, and stores the first memory A second control unit that associates a first control step to be stored in the means, execution exercise identification information indicating exercise executed in the plurality of exercise identification information, and user identification information representing a user who executed the exercise; The second control step to be stored, the first acquisition step of acquiring the specific user identification information representing the specific user, the specific user identification with reference to the first storage unit and the second storage unit A first determination step for determining whether or not the specific proposed exercise identification information associated with the specific user identification information is greater than or equal to a predetermined value in the specific execution exercise identification information associated with the information; and the first A constant step, in said specific execution motion identification information, if the particular proposed movement identification information is determined to be greater than a predetermined, and a plurality of motion identification information, each type of exercise of the plurality of motion identification information A second acquisition step of acquiring exercise type information associated with the specific suggested exercise identification information from a third storage means for storing exercise type information representing an exercise for individuals or exercise for a group in association with each other. And referring to the third storage means, one or more exercise identification information associated with the exercise type information acquired in the second acquisition step is output by the output means as the proposed exercise identification information. And causing the computer to execute the steps.

  According to the first, third, or fifth aspect of the present invention, when the user has accepted the proposal well and is exercising, the type of exercise that the user has been performing so far is presented. Therefore, it is possible to propose an exercise that matches the user's preference.

  According to the invention described in claim 2, if the user has performed a lot of exercises for individuals so far, the exercise for individuals is proposed, and if the users have exercised a lot of exercises for groups, the exercise for groups is proposed. The Therefore, it is possible to propose an exercise that matches the user's preference.

  According to the invention described in claim 4, when the result of the exercise is low, an exercise for individuals is proposed even if many exercises for the group are performed. An exercise with an exercise load larger than a predetermined exercise load is proposed. Therefore, even if the exercise load for the group cannot change the exercise load, it is possible to propose an effective exercise by proposing the exercise for the individual.

It is a figure showing an example of outline composition of exercise support system 1 of one embodiment. (A) is a figure which shows the structural example of a purpose master table, (B) is a figure which shows the structural example of a target information table, (C) is a figure which shows the structural example of an exercise content master table. Yes, (D) is a diagram showing a configuration example of a lesson content master table. (A) is a figure which shows the structural example of a proposal information table, (B) is a figure which shows the structural example of an exercise | movement history table, (C) is a figure which shows the structural example of an exercise load master table. Yes, (D) is a diagram showing a configuration example of a body composition information table. It is a flowchart which shows an example of the proposal process of CPU21 of the delivery server 2. FIG. It is a flowchart which shows an example of the exercise | movement determination process of CPU21 of the delivery server 2. FIG. It is a flowchart which shows an example of the lesson search process of CPU21 of the delivery server 2. FIG.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In addition, embodiment described below is embodiment at the time of applying this invention to the exercise | movement assistance system which assists an exercise | movement.

[1. Configuration of Exercise Support System 1]
First, the configuration of the exercise support system 1 of the present embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating a schematic configuration example of an exercise support system 1 of the present embodiment. As shown in FIG. 1, the exercise support system 1 includes a distribution server 2, one or more output terminals 71 and 73, one or more studio terminals 72, a plurality of training machines 81, a plurality of exercise equipment terminals 82, and one or more. The body composition meter 83 and one or more viewing terminals 5 are configured. The distribution server 2, the output terminals 71 and 73, the studio terminal 72, the training machine 81, the exercise equipment terminal 82, the body composition meter 83, and the browsing terminal 5 can be connected via the network 10. The network 10 includes, for example, the Internet. The distribution server 2 is an example of an information processing apparatus of the present invention. A database 3 is connected to the distribution server 2. The database 3 is an example of the first storage unit, the second storage unit, the third storage unit, and the fourth storage unit of the present invention. The first storage unit, the second storage unit, the third storage unit, and the fourth storage unit may be the same storage device, or may be different storage devices. In addition, any of the first storage unit, the second storage unit, the third storage unit, and the fourth storage unit may be the same storage device. The storage device may be provided in the distribution server 2. Further, the storage device may be provided in a server different from the distribution server 2, and the distribution server 2 may be able to refer to the storage device via a network. Information relating to exercise and information relating to music are registered in the database 3. The distribution server 2 receives the information registered in the database 3 periodically or in response to a request from the output terminal 71, the output terminal 73, the studio terminal 72, or the browsing terminal 5, or the output terminal 71, the studio terminal 72, or Delivered to the browsing terminal 5. The output terminals 71 and 73, the studio terminal 72, the training machine 81, the exercise equipment terminal 82, and the body composition meter 83 are installed in the facility 4, for example. The facility 4 may be a sports facility, for example. In the facility 4, there are a studio 7, a personal booth 8, and a training room 9 as exercise locations.

  Studio 7 is a room where studio lessons are held. A studio lesson is that a plurality of users perform a movement composed of a plurality of movements. In the studio 7, an output terminal 71 and a studio terminal 72 are installed. The output terminal 71 outputs exercise content. The exercise content includes an exercise image and music for supporting exercise. The motion video is a video showing a figure that performs a motion. The figure is a virtual object in the form of, for example, a person, an animal, a virtual creature, or a robot. The output terminal 71 outputs the music by a speaker so that the music and the movement of the figure are synchronized, and displays the motion video on the display. The user can exercise while watching the figure displayed on the display while listening to the music. The studio lesson may be performed without using the output terminal 71. For example, a user may perform exercise under the guidance of an instructor. The studio terminal 72 is a terminal device for registering a user's exercise history in the studio in the database 3. For example, an IC card 63 is given to each user who uses the facility 4. A user ID is recorded on the IC card 63. The user ID is identification information that can identify the user. The user ID is an example of user identification information of the present invention. When the user enters the studio, the user brings the IC card 63 close to the studio terminal 72. Then, the studio terminal 72 receives the user ID from the IC card 63 by a communication method such as NFC (Near Field Communication). Details of the process for registering the exercise history will be described later.

  The private booth 8 is a room where private lessons are held. An individual lesson is that one user performs an exercise composed of a plurality of exercise operations. An output terminal 73 is installed in the personal booth 8. The basic function and configuration of the output terminal 73 are the same as those of the output terminal 71. The output terminal 73 includes an IC card reader for receiving a user ID from the IC card 63.

  In the training room 9, a training machine 81, an exercise equipment terminal 82, a body composition meter 83, and an exercise equipment 84 are installed. The training room 9 is a room for the user to exercise using the training machine 81 and the exercise equipment 84. The training machine 81 and the exercise device 84 are devices, instruments, and the like used for exercise. Examples of the training machine 81 include a weight training machine, an arc trainer, and a treadmill. Examples of the exercise device 84 include a barbell. The training machine 81 includes, for example, an IC card reader for receiving a user ID from the IC card 63. An exercise equipment terminal 82 is installed corresponding to each exercise equipment 84. The exercise equipment terminal 82 is a terminal device for registering a user's exercise history using the exercise equipment 84 in the database 3. When the user starts using the exercise equipment 84, the user brings the IC card 63 closer to the exercise equipment terminal 82. Then, the exercise equipment terminal 82 receives the user ID from the IC card 63. Details of the process for registering the exercise history will be described later.

  The body composition meter 83 measures the user's body composition. Examples of measurable body compositions include body weight, body fat, muscle mass, basal metabolic rate, muscle mass score, body fat percentage, and the like. The muscle mass score and body fat percentage can be measured for each body part of the right arm, upper left, right foot, left foot, and trunk. When measuring the body composition, the user brings the IC card 63 close to the body composition meter 83. Then, the body composition meter 83 receives the user ID from the IC card 63. The body composition meter 83 transmits the body composition information including the measured body composition information and the received user ID to the distribution server 2. Distribution server 2 registers body composition information in a database.

  The browsing terminal 5 is a terminal device for presenting an exercise to be proposed to the user. The proposed movement is called a proposal movement. For example, the browsing terminal 5 presents a lesson composed of one or more suggested exercises. A suggested lesson is called a suggested lesson. The browsing terminal 5 may be, for example, a personal computer, a smartphone, a tablet computer, a mobile phone, or the like. The browsing terminal 5 may be installed in the facility 4 in advance, or each user may own the browsing terminal 5.

[2. Proposal of exercise that suits user's taste]
When the user exercises at the facility 4, the purpose and the target can be set. The purpose is, for example, to reduce or increase the body composition value of any of the plurality of body composition items of the user. The target is, for example, an amount to decrease or increase the body composition value of the item set as the objective. The distribution server 2 determines one or more suggested lessons for achieving the set purpose. Then, the distribution server 2 causes the browsing terminal 5 to present the suggested lesson. For example, the user may accept a suggestion and execute a suggestion lesson. Also, for example, if the suggested lesson does not meet the user's preference, the user may execute a lesson different from the suggested lesson. Alternatively, if the suggested lesson does not meet the user's preference, the user may not be able to continue the exercise. Therefore, the distribution server 2 uses the exercise history to determine a suggested lesson that matches the user's preference.

  The database 3 stores a purpose master table, a purpose information table, an exercise content master table, a lesson content master table, a proposal information table, and an exercise history table in order to determine a suggested lesson that suits the user's preference.

  FIG. 2A is a diagram illustrating a configuration example of the purpose master table. The purpose master table stores information about the purpose that can be set. Specifically, a purpose ID, a purpose name, an exercise type 1 and an exercise type 2 are stored in the purpose master table in association with each other. The purpose ID is identification information that can identify the purpose. Examples of purpose names include weight loss, body fat percentage reduction, muscle mass increase, and basal metabolism increase. The exercise type is information indicating the type of exercise for achieving the purpose. The exercise type may be, for example, a type in which exercise is classified based on the influence or effect on the body when performing exercise. Lessons composed of the types of exercise shown in exercise type 1 and exercise type 2 are determined as suggested lessons. Examples of exercise types include muscle strength training and aerobic exercise. In the example of FIG. 2A, exercise type 1 is strength training. Exercise type 2 for weight loss and body fat percentage reduction is aerobic exercise, and exercise type 2 for muscle mass increase and basal metabolism increase is strength training. In FIG. 2, strength training is shown as muscle training, and aerobic exercise is shown as aerobic.

  FIG. 2B is a diagram illustrating a configuration example of the target information table. The target information table stores information on the set purpose and target. Specifically, each time a purpose is set, a user ID, a purpose ID, a target increase / decrease value, an exercise start date, and an exercise end date are stored in the target information table in association with each other. The user ID is identification information that can identify the user. The purpose ID is identification information that can identify the set purpose. The target increase / decrease value is an amount by which the body composition value corresponding to the purpose indicated by the purpose ID is decreased or increased. For example, when the purpose is to increase muscle mass and the target increase / decrease value is 5, the goal is to increase the muscle mass score by 5 points. The exercise start date is the date when the purpose is set. The exercise end date is the deadline until the goal is achieved.

  FIG. 2C is a diagram illustrating a configuration example of the exercise content master table. The exercise content master table is a table that defines the content of exercise. Specifically, the exercise content master table stores an exercise ID, an exercise name, an exercise type, an object type, and an action type for each exercise. The exercise ID is identification information that can identify the exercise. Examples of exercise names include weight machine exercise, pilates, barbell exercise, martial arts, arc trainer, treadmill, and dance. Pilates, martial arts and dance take place in the studio 7 and the private booth 8. Weight machine exercise, barbell exercise, arc trainer and treadmill are performed in the training room 9. The exercise type is a type when the exercise is classified based on the influence or effect on the body when the exercise is performed. The exercise type of weight machine exercise, pilates and barbell exercise is strength training. The exercise type of martial arts, arc trainer, treadmill and dance is aerobic exercise. The target type is an example of the exercise type information of the present invention. The object type indicates the type of exercise when the exercise is classified based on the number of users 14 who exercise at the same time. Target types include individuals and groups. An individual indicates that it is performed by one person. A group indicates that it is performed by a plurality of people. An exercise whose target type is an individual is called personal exercise, and an exercise whose target type is a group is called collective exercise. Individual movement is movement for individuals, and group movement is movement for groups. The weight machine movement, arc trainer and treadmill are individual movements. The barbell movement is a collective movement. In Pilates, martial arts and dance, there are both individual and collective movements. Studio lessons involve group pilates, martial arts or dance. Individual lessons involve personalized pilates, martial arts or dance. The motion type indicates the type of motion when the motion is classified by the number of motion types constituting the motion. There are simple and complex operation types. Simple indicates that there is only one type of action. In an exercise with a simple motion type, one type of motion is executed one or more times. Composite indicates that there are multiple types of actions. In an exercise in which the action types are composite, a plurality of kinds of actions are executed one or more times. The types of motion of the weight machine movement, arc trainer and treadmill are simple. The other motion types are complex.

  FIG. 2D is a diagram illustrating a configuration example of the lesson content master table. The lesson content master table is a table that defines lesson content. Specifically, the lesson content master table stores a lesson ID, an exercise ID, detailed content information, an exercise site, and an exercise time in association with each lesson. The lesson ID is identification information that can identify a lesson. The lesson ID is an example of exercise identification information according to the present invention. The exercise ID indicates the exercise constituting the lesson. The detailed content information indicates the name of the lesson. The exercise part indicates the body part to be trained in the lesson. Exercise time indicates the length of time during which a lesson is performed.

  FIG. 3A is a diagram illustrating a configuration example of the proposal information table. In the proposal information table, proposal information related to the proposal lesson is stored. The proposal information is also a history of lesson proposals. Specifically, in the proposal information table, user ID, exercise ID, lesson ID, exercise time, load weight, number of exercises, exercise tempo, and proposal date are associated and stored as proposal information. The user ID indicates the proposed user. The exercise ID indicates a suggested exercise. The user ID stored in the proposal information table is an example of user identification information of the present invention. The lesson ID indicates a suggested lesson. The lesson ID stored in the proposal information table is an example of the proposed exercise identification information of the present invention. The load weight is the weight of the load applied to the body. The number of exercises is the number of times the exercise is repeated. The exercise tempo is a tempo indicating the speed at which exercise is performed. The exercise time, load weight, number of exercises and exercise tempo stored in the proposal information table are the proposed exercise time, load weight, number of exercises and exercise tempo. The proposal date indicates the date on which the suggested lesson is presented.

  FIG. 3B is a diagram illustrating a configuration example of the exercise history table. The exercise history table stores exercise history. The exercise history is a history of exercise execution by the user. Specifically, every time a user performs a lesson, the user ID, the lesson ID, the registration date and time, the exercise time, the load weight, the exercise tempo, and the proposal flag are associated with each other and stored as an exercise history. The user ID indicates the user who performed the lesson. The lesson ID indicates the lesson that has been executed. The lesson ID stored in the exercise history table is an example of execution exercise identification information of the present invention. The registration date and time indicates the date and time when the lesson was started. The exercise time, load weight and exercise tempo indicate the exercise load in the lesson performed. The exercise load will be described later. The proposal flag indicates whether or not the lesson is a suggested lesson. When the proposal flag is TRUE, it indicates a suggested lesson, and when the proposal flag is FALSE, it indicates that it is not a suggested lesson.

  Details of the registration of the exercise history table will be described. The database 3 stores a lesson schedule table. The lesson schedule table is a table in which schedule information of studio lessons is stored. The schedule information includes a lesson ID, a date, a time zone, and an exercise tempo. The lesson ID indicates a studio lesson to be held. The date indicates the date when the studio lesson is held. The time zone includes the time when the lesson starts and the time when the lesson ends. The distribution server 2 distributes the schedule table to the studio terminal 72 periodically, for example.

  When the user enters the studio 7, the IC card 63 is brought close to the studio terminal 72. Thereby, the studio terminal 72 acquires a user ID. Next, the studio terminal 72 acquires today's date and current time. The studio terminal 72 acquires a lesson ID corresponding to a time zone including the current time from lesson IDs corresponding to today's date from the schedule table. The studio terminal 72 transmits the acquired date, current time, user ID, and lesson ID from the output terminal 71 to the distribution server 2. The distribution server 2 registers the exercise history storing the date, current time, user ID, and lesson ID received from the output terminal 71 in the exercise history table. The date and current time are the registration date and time. In addition, the distribution server 2 acquires a time zone and an exercise tempo corresponding to the received lesson ID, date, and current time. The distribution server 2 calculates exercise time from the time zone. Then, the distribution server 2 further registers the exercise time and the exercise tempo in the exercise history table.

  When the user exercises in the personal booth 8, the user brings the IC card 63 close to the IC card reader of the output terminal 73. Thereby, the output terminal 73 acquires the user ID. Next, the user operates the output terminal 73 to select and instruct the lesson ID and exercise tempo of the lesson to be executed. The output terminal 73 reproduces the exercise content corresponding to the instructed lesson ID according to the instructed exercise tempo. Then, the output terminal 73 transmits the user ID, lesson ID, exercise content playback time, exercise tempo, and current date and time to the distribution server 2. The distribution server 2 registers the exercise history storing the user ID, lesson ID, playback time, exercise tempo, and current date and time received from the output terminal 73 in the exercise history table. In this case, the playback time is exercise time.

  The user brings the IC card 63 close to the IC card reader of the training machine 81. Thereby, the training machine 81 acquires a user ID. Next, the user operates the training machine 81 to select and instruct the lesson ID of the lesson to be executed. When the training machine 81 is a weight machine, the user further selects and instructs the load weight and the number of exercises. When the training machine 81 is an arc trainer or a treadmill, the user further selects and instructs the exercise time. The training machine 81 starts an operation for the user to exercise according to the user's instruction. In addition, the training machine 81 transmits the user ID, lesson ID, current date and time, load weight, number of exercises, and exercise time to the distribution server 2. The distribution server 2 registers the exercise history storing the user ID, lesson ID, current date and time, load weight, number of exercises, and exercise time received from the training machine 81 in the exercise history table.

  When the user starts using the exercise equipment 84, the IC card 63 is brought close to the exercise equipment terminal 82. Thereby, the exercise equipment terminal 82 acquires the user ID. The user operates the exercise equipment terminal 82 to select and instruct the lesson ID, exercise time, load weight and exercise tempo of the lesson to be executed. The exercise equipment terminal 82 transmits the user ID, the instructed lesson ID, the exercise time, the load weight, the exercise tempo, and the current date and time to the distribution server 2. The distribution server 2 registers the exercise history storing the user ID, lesson ID, exercise time, load weight, exercise tempo, and current date and time received from the exercise equipment terminal 82 in the exercise history table.

  When the exercise history is registered in the exercise history table, the distribution server 2 acquires the user ID and the lesson ID from the registered exercise history. Next, the distribution server 2 searches the proposal information table for proposal information including the same combination as the combination of the acquired user ID and lesson ID. When the proposal information including the same combination is searched, the distribution server 2 further registers the proposal flag set in TRUE in the exercise history table. When the proposal information including the same combination is not searched, the distribution server 2 further registers the proposal flag set to FALSE in the exercise history table.

  When proposing a lesson, the distribution server 2 acquires the user ID of the proposed user. A user to whom a lesson is proposed is called a specific user. The user ID of the specific user is an example of specific user identification information of the present invention. For example, the browsing terminal 5 receives the user ID from the IC card 63 and transmits the user ID to the distribution server 2. Next, the distribution server 2 determines a purpose ID indicating the purpose of the specific user. For example, the distribution server 2 may determine the purpose ID based on information on the body composition of the specific user. Next, the distribution server 2 determines the exercise ID corresponding to the purpose ID as the exercise ID of the proposed exercise. Thereby, the delivery server 2 determines the exercise | movement for achieving the objective. Specifically, in the case of the purpose ID for weight loss or body fat percentage reduction, the distribution server 2 determines muscle training and aerobic exercise as exercise types. In the case of the purpose ID for increasing muscle mass or increasing basal metabolism, the distribution server 2 determines strength training as the exercise type. Then, the distribution server 2 determines an exercise ID corresponding to the determined exercise type from the exercise content master table. In the case of weight loss or body fat percentage reduction, the distribution server 2 determines an exercise ID corresponding to muscle strength training and an exercise ID corresponding to aerobic exercise. In the case of an increase in muscle mass or an increase in basal metabolism, the distribution server 2 determines an exercise ID corresponding to muscle strength training. The determined exercise ID indicates a suggested exercise.

  At this time, the distribution server 2 determines the exercise ID according to how many proposals the specific user has accepted. Specifically, the distribution server 2 includes one or more lessons associated with the user ID of the specific user in the proposal information table among the lesson IDs associated with the user ID of the specific user in the exercise history table. It is determined whether the ID is equal to or greater than a predetermined value. Next, when the distribution server 2 determines that there is a predetermined lesson ID associated with the user ID of the specific user in the proposal information table, the distribution server 2 selects the target type associated with the exercise ID corresponding to the lesson ID. Get from the exercise content master table. Next, the distribution server 2 determines one or more exercise IDs among the exercise IDs corresponding to the acquired object types as the exercise ID of the proposed exercise. Then, the distribution server 2 determines one or more lesson IDs among the lesson IDs corresponding to the exercise ID of the suggested exercise as the lesson ID of the suggested lesson.

  More specifically, the distribution server 2 acquires a lesson ID from the exercise history. Specifically, the distribution server 2 acquires an exercise ID corresponding to the exercise type determined according to the purpose ID from the exercise content master table. Next, the distribution server 2 acquires a lesson ID corresponding to the acquired exercise ID from the lesson content master table. Then, the distribution server 2 searches the exercise history table for an exercise history storing the same combination as the combination of the user ID of the specific user and the acquired lesson ID. In other words, the distribution server 2 searches the exercise history of lessons that have met the purpose set this time among the lessons that the specific user has taken so far.

  Next, the distribution server 2 calculates the ratio of the exercise history storing the proposal flag set in TRUE among the searched exercise histories. This ratio is called the ratio of suggested lessons. The proposal flag set to TRUE indicates that the lesson ID registered in the exercise history table in association with the user ID of the specific user is registered in the proposal information table in association with the user ID of the specific user. Show. The ratio of the suggested lesson indicates the ratio of the suggested lesson out of the lessons executed by the specific user. That is, it indicates the rate at which specific users have accepted the proposal.

  For example, the distribution server 2 determines whether the ratio of the suggested lesson is equal to or higher than a predetermined ratio. For example, the distribution server 2 may determine whether the ratio of the suggested lesson is 40% or more. When the ratio of the proposed lesson is equal to or greater than the predetermined ratio, the distribution server 2 acquires the lesson ID from the exercise history storing the proposal flag set in TRUE. Next, the distribution server 2 acquires an exercise ID corresponding to the acquired lesson ID from the lesson content master table, and acquires a target type corresponding to the exercise ID from the exercise content master table. The distribution server 2 determines whether there is a predetermined target type indicating an individual among the acquired target types. In other words, the distribution server 2 determines whether or not the proportion of individual exercise among the exercises performed by the specific user is greater than or equal to a predetermined value. For example, the distribution server 2 may determine whether the personal exercise rate is 50% or more. When the proportion of the individual exercise is greater than or equal to the predetermined value, the distribution server 2 determines an exercise ID whose target type is an individual from the exercise content master table as the exercise ID of the proposed exercise. When the proportion of individual exercise is not greater than or equal to the predetermined value, the distribution server 2 determines an exercise ID whose target type is a group from the exercise content master table as the exercise ID of the proposed exercise. That is, the distribution server 2 determines the exercise that has been executed more of the individual exercise and the collective exercise as the suggested exercise. Thereby, the exercise | movement suitable for a user's preference can be proposed as an exercise | movement for achieving the objective. In addition, when the user accepts many proposals, the suggested exercise is determined from the exercises proposed in the past. Therefore, it is possible to propose an exercise that suits the user's preference.

  When the ratio of the suggested lesson is not equal to or higher than the predetermined ratio, the distribution server 2 acquires the lesson ID from the exercise history storing the proposal flag set in FALSE. Next, the distribution server 2 acquires an exercise ID corresponding to the acquired lesson ID from the lesson content master table, and acquires a target type corresponding to the exercise ID from the exercise content master table. Thereafter, the distribution server 2 determines the exercise that has been executed more frequently among the individual exercise and the collective exercise as the suggested exercise, as in the case where the proportion of the suggested lesson is equal to or greater than the predetermined proportion. When the user has not accepted the proposal so much, the proposed exercise is determined from the exercises performed by the user in the past among the exercises different from the exercises proposed in the past. Therefore, it is possible to propose an exercise that suits the user's preference.

  When the exercise ID of the suggested exercise is determined, the distribution server 2 determines the lesson ID corresponding to the exercise ID of the suggested exercise as the lesson ID of the suggested lesson from the lesson content master table.

[3. Proposed exercise, change of exercise load]
Even if a user exercises after receiving an exercise proposal, the exercise may not be very effective. Therefore, the distribution server 2 determines the proposed exercise load based on the information on the body composition of the user. Specifically, the distribution server 2 determines an exercise load that is greater than a predetermined exercise load. The exercise load includes exercise time, load weight, number of exercises, and exercise tempo. The longer the exercise time, the greater the exercise load. The heavier the load weight, the greater the exercise load. The greater the number of exercises, the greater the exercise load. The faster the exercise tempo, the greater the exercise load.

  In order to determine the exercise load, the database 3 stores an exercise load master table and a body composition information table. FIG. 3C is a diagram illustrating a configuration example of the exercise load master table. The exercise load master table is a table that defines an initial value of exercise load. Specifically, the exercise load master table stores an exercise ID, exercise time, load weight, number of exercises, and exercise tempo in association with each exercise. The exercise time is set for an exercise other than the weight machine exercise. The load weight is set for weight machine movement and barbell movement. The number of exercises is set for the weight machine exercise. The exercise tempo is set for Pilates, barbell exercise, martial arts, and dance.

  FIG. 3D is a diagram illustrating a configuration example of the body composition information table. The body composition information table is a table in which body composition information is registered. Specifically, a user ID, a body composition item type, a body composition value, and a registration date are registered in the body composition information table in association with each other. The user ID indicates a user whose body composition has been measured. The body composition item type indicates an item of body composition. The body composition value is a value indicating the measured body composition. The registration date is the date when the body composition was measured.

  The distribution server 2 acquires body composition information on the registration date and time within a predetermined period, for example, going back from the present to the past. This period may be, for example, one month. The distribution server 2 acquires the latest body composition information and the oldest body composition information from the acquired body composition information. The distribution server 2 calculates a difference in body composition value corresponding to the purpose between the latest body composition information and the oldest body composition information.

  When the difference in the body composition values is greater than or equal to the predetermined value, the distribution server 2 increases the exercise load. Specifically, the distribution server 2 acquires the value of the exercise load from the exercise history including the user ID of the specific user registered in the exercise history table. Then, the distribution server 2 determines a load value larger than the acquired exercise load value. That is, the distribution server 2 determines an exercise load that is greater than the exercise load of the exercise that the specific user has performed in the past. For example, the distribution server 2 may add a predetermined value to the exercise load, or may multiply the exercise load by a predetermined value.

  By the way, in group exercise, a plurality of users exercise at the same time. For example, a plurality of users perform the same operation in accordance with music and exercise videos output from the output terminal 71. Therefore, it is difficult to change the exercise load of only a specific user among a plurality of users performing group exercise. Therefore, the distribution server 2 changes the suggested exercise from the collective exercise to the individual exercise when it is determined that the exercise load is increased when the specific user has performed many collective exercises in the past. If it is an individual exercise, the exercise load can be changed freely. Thereby, the effect of exercise can be improved.

  For example, the distribution server 2 may change the suggested exercise from a collective exercise to an individual exercise when the exercise load is increased to a predetermined load or more. For example, as shown in the lesson content master table of FIG. 2D, three dance lessons as group exercise are defined. The lesson IDs of these lessons are L20-22. When the lesson ID is L20, the exercise time is 30 minutes, when the lesson ID is L21, the exercise time is 40 minutes, and when the lesson ID is L22, the exercise time is 50 minutes. When the exercise time is changed from 30 minutes to 40 minutes when the proposed exercise is dance, the distribution server 2 determines the lesson ID of L21 as the lesson ID of the suggested lesson. When the exercise time is changed from 40 minutes to 50 minutes, the distribution server 2 determines the lesson ID of L22 as the lesson ID of the suggested lesson. When the exercise time is changed from 50 minutes to 60 minutes, there is no 60 minute lesson in the dance lesson as a group exercise. Therefore, the distribution server 2 determines, for example, an exercise ID of a personal exercise dance, and determines a lesson ID corresponding to the exercise ID. Then, the distribution server 2 determines the exercise time to be 60 minutes. The distribution server 2 may make the exercise tempo faster than the past exercise tempo, for example.

[4. Configuration of each device]
Next, the configuration of each device included in the exercise support system will be described with reference to FIG.

[4-1. Configuration of distribution server 2]
As shown in FIG. 1, the distribution server 2 includes a CPU 21, a ROM 22, a RAM 23, a bus 24, an I / O interface 25, a display control unit 26, a disk drive 28, a network communication unit 30, and an HDD (hard disk drive) 37. . The CPU 21 is connected to the ROM 22, the RAM 23, and the I / O interface 25 via the bus 24. The CPU 21 has a clock function and a timer function. The CPU 21 controls each unit of the distribution server 2 by executing a program stored in the ROM 22 or the HDD 37. Connected to the I / O interface 25 are a database 3, a display control unit 26, a disk drive 28, a network communication unit 30, a keyboard 31, a mouse 32, and an HDD 37. The CPU 21 accesses the database 3 via the I / O interface 25. The display control unit 26 outputs a video signal to the monitor 27 based on the control of the CPU 21. The disk drive 28 writes data to and reads data from the recording medium 29. The network communication unit 30 performs control for the distribution server 2 to connect to the network 10. The HDD 37 stores an OS, various control programs, and the like.

  The database 3 stores tables such as a purpose master table, a purpose information table, an exercise content master table, a lesson content master table, a proposal information table, an exercise history table, an exercise load master table, a body composition information table, and a lesson schedule table. ing. The database 3 stores a user information table, an average body composition information table, and a weight machine master table. The user information table stores information about users. Specifically, a user ID, age, sex, and the like are stored in the user information table in association with each user. The average body composition information table stores information on the average body composition for each age and gender. Specifically, the average body composition information table stores age, sex, and body composition information in association with each other. The weight machine master table is a table that defines types of weight machine lessons. Specifically, a plurality of machine exercise types and weight machine exercise lesson IDs are registered in the weight machine master table in association with each other. There are basic and advanced machine exercise types. A plurality of lesson IDs may be associated with one machine exercise type.

  The HDD 37 stores various programs such as an OS and a server program. The server program is a program for determining a proposal exercise. The server program causes the CPU 21 as a computer to execute at least a first control step, a second control step, a first acquisition step, a first determination step, a second acquisition step, and a third control step. Various programs may be downloaded from a predetermined server device via the network 10, for example. Various programs may be recorded on the recording medium 29 and read via the disk drive 28.

[4-2. Configuration of browsing terminal 5]
As shown in FIG. 1, the browsing terminal 5 includes a CPU 51, a ROM 52, a RAM 53, a bus 54, an I / O interface 55, a display control unit 56, a memory 57, a card drive 58, a display 59, a network communication unit 60, and an operation unit. 61 and a signal receiving unit 62. The CPU 51 is connected to the ROM 52, the RAM 53, and the I / O interface 55 via the bus 54. The CPU 51 controls each unit of the browsing terminal 5 by executing a program stored in the ROM 52 or the memory 57. A display control unit 56, a memory 57, a network communication unit 60, an operation unit 61, and a signal reception unit 62 are connected to the I / O interface 55. The display control unit 56 outputs a video signal to the display 59 based on the control of the CPU 51. The display 59 displays a video based on the video signal. The display 59 is an example of output means of the present invention. The card drive 58 writes and reads data to and from the memory card. The operation unit 61 receives an operation from a user. The signal receiving unit 62 receives a user ID from the IC card 63 by a communication method such as NFC, for example.

  The memory 57 stores various programs such as an OS and a terminal program. The terminal program is a program for outputting information on the proposed exercise. Various programs may be downloaded from the server such as the distribution server 2 via the network 10, for example. Various programs may be recorded on a memory card and read via the card drive 58.

[5. Operation of Exercise Support System 1]
Next, the operation of the exercise support system 1 will be described with reference to FIGS. FIG. 4 is a flowchart showing an example of the proposal process of the CPU 21 of the distribution server 2. For example, when the user brings the IC card 63 close to the browsing terminal 5, the signal receiving unit 62 receives the user ID of the specific user from the IC card 63. The browsing terminal 5 transmits the received user ID to the distribution server 2. When the distribution server 2 receives the user ID, the CPU 21 executes a proposal process. As shown in FIG. 4, the CPU 21 acquires the user ID received from the browsing terminal 5 via the network communication unit 30 (step S1). Next, the CPU 21 executes body composition information display processing (step S2). In the body composition information display process, the CPU 21 causes the browsing terminal 5 to display the latest body composition information of the specific user. For example, the CPU 21 causes the viewing terminal 5 to display each body composition value, a graph indicating the transition of the body composition value, and the like. CPU21 may calculate the predicted value of a body composition value, and may display the graph which shows a past body composition value and a predicted value on the browsing terminal 5, for example. At this time, for example, the CPU 21 may calculate the frequency of the specific user coming to the facility 4 based on the exercise history table, and correct the predicted value based on the calculated frequency.

  Next, the CPU 21 executes target setting processing (step S3).

  When the goal setting process is completed, the CPU 21 determines whether or not the determined purpose ID is a weight loss or body fat loss purpose ID (step S4). At this time, if the CPU 21 determines that the determined purpose ID is the purpose ID for weight loss or body fat loss (step S4: YES), the CPU 21 proceeds to step S5. On the other hand, if the CPU 21 does not determine that the determined target ID is the target ID for weight loss or body fat reduction (step S4: NO), the CPU 21 proceeds to step S10.

  In step S5, the CPU 21 sets the search exercise type to aerobic exercise. Next, the CPU 21 executes an exercise determination process (step S6). In the exercise determination process, the CPU 21 determines an exercise ID of the proposed exercise from exercise IDs of exercises whose exercise types match the search exercise types. Then, the CPU 21 registers the exercise information including the exercise ID of the proposed exercise in the exercise information table. Details of the exercise determination process will be described later. Next, the CPU 21 stores 30 minutes as exercise time in the registered exercise information (step S7).

  Next, the CPU 21 executes a load setting process (step S8). In the load setting process, when the proposed exercise is an exercise other than the weight machine exercise, the CPU 21 determines the exercise load of the proposed exercise. Specifically, the CPU 21 searches the body composition information corresponding to the user ID of the specific user from the body composition information table for body composition information at the registration date and time within a predetermined period from the present to the past. Next, the CPU 21 searches the exercise history table for an exercise history including the same combination as the combination of the user ID of the specific user and the exercise ID of the suggested exercise. When there is no exercise history including the same combination, the CPU 21 acquires an exercise load corresponding to the exercise ID of the proposed exercise from the exercise load master table. Then, the CPU 21 stores the acquired exercise load in the proposal information, and ends the load setting process. Since the specific user has not yet performed the suggested exercise, the exercise load is set to the initial value.

  When there is one or more exercise histories including the same combination, the CPU 21 determines the exercise history having the latest registration date and time among the exercise histories including the same combination. Next, the CPU 21 acquires an exercise load from the latest exercise history. Next, the CPU 21 stores the acquired exercise load in the proposal information. Next, when there is only one body composition information whose registration date is within a predetermined period, the CPU 21 ends the load setting process. Since it is unclear whether or not the body composition has changed with only one body composition information, the CPU 21 does not change the exercise load. When there are a plurality of body composition information, the CPU 21 acquires the latest body composition information and the oldest body composition information among the searched body composition information. Next, the CPU 21 calculates the rate of change from the oldest body composition value to the latest body composition value in the body composition item corresponding to the purpose ID. Next, the CPU 21 determines whether or not the absolute value of the change rate is equal to or greater than a predetermined value. The predetermined value may be 3%, for example. When the absolute value of the change rate is equal to or greater than the predetermined value, the CPU 21 ends the load setting process. On the other hand, when the absolute value of the change rate is less than the predetermined value, the CPU 21 increases the exercise load. When the proposed exercise is a barbell exercise, the CPU 21 adds a predetermined value to the load weight among the exercise loads stored in the proposal information. The predetermined value may be 10 kilograms, for example. When the proposed exercise is an exercise other than the barbell exercise, the CPU 21 adds a predetermined value to the exercise time in the exercise load stored in the proposal information. The predetermined value may be, for example, 10 minutes.

  When the load setting process is finished, the CPU 21 executes a lesson search process (step S9). In the lesson search process, the CPU 21 determines the lesson ID corresponding to the exercise ID of the suggested exercise as the lesson ID of the suggested lesson. Then, the CPU 21 stores the lesson ID of the suggested lesson in the proposal information. When the proposed exercise is a weight machine exercise, the CPU 21 sets an exercise load of the weight machine exercise. Also, when the proposed exercise is a collective exercise, the exercise time has been changed in the load setting process, and therefore there is no lesson ID corresponding to the exercise time after the change in the lesson ID corresponding to the exercise ID of the proposed exercise. There is a case. In this case, the CPU 21 changes the exercise ID of the proposed exercise to the exercise ID of the individual exercise, and determines a lesson ID corresponding to the changed exercise ID. Details of the lesson search process will be described later. Next, the CPU 21 proceeds to step S10.

  In step S10, the CPU 21 sets the search exercise type to muscle training. Next, the CPU 21 executes an exercise determination process similarly to step S6 (step S11). Next, the CPU 21 determines whether or not the determined purpose ID is a purpose ID for weight loss or body fat loss (step S12). At this time, if the CPU 21 determines that the determined target ID is the target ID for weight loss or body fat reduction (step S12: YES), the CPU 21 proceeds to step S13. In step S13, CPU21 stores 30 minutes as exercise time in the exercise information registered by the exercise | movement determination process of step S11. Next, the CPU 21 proceeds to step S15. On the other hand, if the CPU 21 does not determine that the determined target ID is the target ID for weight loss or body fat reduction (step S12: NO), the CPU 21 proceeds to step S14. In step S14, CPU21 stores 40 minutes as exercise time in the exercise information registered by the exercise | movement determination process of step S11. Next, the CPU 21 proceeds to step S15.

  In steps S15 and S16, the CPU 21 executes a load setting process and a lesson search process as in steps S8 and S9. Next, the CPU 21 transmits the exercise information registered in the exercise information table in steps S6 and S11 to the viewing terminal 5 (step S17). When step S17 ends, the CPU 21 ends the proposal process.

  The CPU 51 of the browsing terminal 5 that has received the proposal information from the distribution server 2 causes the display 59 to display information on the suggested lesson based on the proposal information. For example, the CPU 51 causes the display 59 to display the exercise name of the proposed exercise, the detailed content information of the suggested lesson, the exercise load, and the like.

  FIG. 5 is a flowchart showing an example of the exercise determination process of the CPU 21 of the distribution server 2. As shown in FIG. 5, the CPU 21 searches for an exercise history whose exercise type matches the search exercise type among the exercise histories corresponding to the user ID of the specific user (step S <b> 21). Specifically, the CPU 21 acquires one or more exercise IDs corresponding to the exercise type that matches the search exercise type from the exercise content master table. Next, the CPU 21 acquires one or more lesson IDs corresponding to the exercise ID from the lesson content master table for each acquired exercise ID. Then, the CPU 21 searches the exercise history table for an exercise history storing the same combination as the combination of the user ID of the specific user and any of the acquired lesson IDs. Next, the CPU 21 determines whether there is a corresponding exercise history (step S22). At this time, if the CPU 21 determines that there is an exercise history (step S22: YES), the CPU 21 proceeds to step S23. On the other hand, if the CPU 21 determines that there is no exercise history (step S22: NO), the CPU 21 proceeds to step S32.

  In step S23, the CPU 21 calculates the number of exercise histories whose proposal flag is TRUE among the searched exercise histories. Next, the CPU 21 calculates the ratio of the exercise history whose proposal flag is TRUE by dividing the number of exercise histories whose proposal flag is TRUE by the number of retrieved exercise histories. Then, the CPU 21 determines whether or not the calculated ratio is 40% or more. At this time, when the CPU 21 determines that the calculated ratio is 40% or more (step S23: YES), the CPU 21 proceeds to step S24. On the other hand, when the CPU 21 determines that the calculated ratio is not 40% or more (step S23: NO), the CPU 21 proceeds to step S28.

  In step S24, the CPU 21 acquires a target type corresponding to the exercise history in which the proposal flag is set to TRUE from the searched exercise history. Specifically, CPU21 acquires lesson ID from the exercise | movement history by which the proposal flag was set to TRUE. Next, the CPU 21 acquires an exercise ID corresponding to each acquired lesson ID from the lesson content master table. Then, the CPU 21 acquires the target type corresponding to each acquired exercise ID from the exercise content master table. Next, the CPU 21 calculates the number of target types indicating a group among the acquired target types. Next, the CPU 21 calculates the ratio of the target type as a group by dividing the number of target types indicating the group by the number of acquired target types. Then, the CPU 21 determines whether or not the ratio that the target type is a group is 50% or more (step S25). At this time, if the CPU 21 determines that the ratio that the target type is a group is 50% or more (step S25: YES), the CPU 21 proceeds to step S26. On the other hand, if the CPU 21 determines that the ratio that the target type is a group is not 50% or more (step S25: NO), the CPU 21 proceeds to step S27.

  In step S26, the CPU 21 determines, for example, one exercise ID whose target type is a group and whose exercise type matches the search exercise type from the exercise content master table. When there are a plurality of corresponding exercise IDs, the CPU 21 determines any one exercise ID. For example, the CPU 21 may determine the exercise ID at random. For example, CPU21 may determine exercise ID of the exercise | movement which the specific user performed most frequently in the past based on an exercise | movement history table. Note that the CPU 21 may determine a plurality of exercise IDs. When the exercise ID is determined, the CPU 21 stores proposal information for storing the determined exercise ID in the proposal information table. When step S26 ends, the CPU 21 ends the exercise determination process.

  In step S27, the CPU 21 determines one exercise ID from the exercise content master table whose target type is an individual and whose exercise type matches the search exercise type. The determination method of the exercise ID when there are a plurality of corresponding exercise IDs is the same as that in step S26. Then, the CPU 21 stores proposal information for storing the determined exercise ID in the proposal information table. When step S27 ends, the CPU 21 ends the exercise determination process.

  In step S28, the CPU 21 acquires a target type corresponding to the exercise history in which the proposal flag is set to FALSE from the searched exercise history. Except for the point that the proposal flag is FALSE, the acquisition method of the target type is the same as that in step S24. Next, the CPU 21 calculates the number of target types indicating a group among the acquired target types. Next, the CPU 21 calculates the ratio of the target type as a group by dividing the number of target types indicating the group by the number of acquired target types. Then, the CPU 21 determines whether or not the ratio that the target type is a group is 60% or more (step S29). At this time, if the CPU 21 determines that the ratio that the target type is a group is 60% or more (step S29: YES), the CPU 21 executes step S26. On the other hand, if the CPU 21 determines that the ratio that the target type is a group is not 60% or more (step S29: NO), the CPU 21 proceeds to step S30.

  In step S30, the CPU 21 calculates the number of target types indicating an individual among the acquired target types. Next, the CPU 21 calculates the ratio that the target type is an individual by dividing the number of target types indicating an individual by the number of acquired target types. And CPU21 determines whether the ratio whose object classification is an individual is 60% or more. At this time, if the CPU 21 determines that the ratio of the target type as an individual is 60% or more (step S30: YES), the CPU 21 executes step S27. On the other hand, if the CPU 21 determines that the ratio that the target type is an individual is not 60% or more (step S30: NO), the CPU 21 proceeds to step S31.

  In step S31, the CPU 21 acquires one exercise ID whose exercise type matches the search exercise type from the exercise content master table. Then, the CPU 21 stores proposal information for storing the acquired exercise ID in the proposal information table. When step S31 ends, the CPU 21 ends the exercise determination process.

  In step S32, the CPU 21 acquires the gender corresponding to the user ID of the specific user from the user information table. Then, the CPU 21 determines whether or not the gender is female. At this time, if the CPU 21 determines that the gender is female (step S32: YES), the CPU 21 executes step S26. On the other hand, if the CPU 21 determines that the gender is not female (step S32: NO), it executes step S27.

  FIG. 6 is a flowchart illustrating an example of the lesson search process of the CPU 21 of the distribution server 2. As illustrated in FIG. 6, the CPU 21 acquires an exercise name corresponding to the exercise ID of the proposed exercise stored in the proposal information from the exercise content master table (step S41). Next, the CPU 21 determines whether or not the exercise name is a weight machine exercise or a barbell exercise (step S42). At this time, if the CPU 21 determines that the exercise name is a weight machine exercise or a barbell exercise (step S42: YES), the CPU 21 proceeds to step S43. On the other hand, when the CPU 21 does not determine that the exercise name is the weight machine exercise or the barbell exercise (step S42: NO), the CPU 21 proceeds to step S46.

  In step S43, the CPU 21 determines a lesson ID corresponding to the exercise ID of the suggested exercise from the lesson content table as the lesson ID of the suggested lesson. Then, the CPU 21 stores the determined lesson ID in the proposal information. When the exercise name is a weight machine exercise, the CPU 21 determines a lesson ID according to the purpose ID. For example, in the case of weight loss or body fat percentage reduction, the CPU 21 determines all lesson IDs corresponding to the beginner level as the lesson IDs of the proposed lesson in the weight machine master table. In the case of an increase in muscle mass or an increase in basal metabolism, the CPU 21 determines all lesson IDs corresponding to advanced in the weight machine master table as the lesson IDs of the suggested lessons. When the exercise name is barbell exercise, the CPU 21 compares the muscle mass score of each body part in the latest body composition information of the specific user, for example. When the difference between the highest muscle mass score and the lowest muscle mass score is equal to or greater than a predetermined value, the CPU 21 may determine the lesson ID of the exercise part lesson corresponding to the body part having the lowest muscle mass score, for example. . When the difference is equal to or smaller than the predetermined value, the CPU 21 may determine a lesson ID of a lesson in which the whole body is an exercise site. CPU21 may compare a body fat percentage instead of comparing a muscle mass score.

  Next, the CPU 21 determines whether or not the exercise name is a weight machine exercise (step S44). At this time, if the CPU 21 determines that the exercise name is a weight machine exercise (step S44: YES), the CPU 21 proceeds to step S45. On the other hand, when determining that the exercise name is not the weight machine exercise (step S44: NO), the CPU 21 ends the lesson search process.

  In step S45, the CPU 21 sets the weight of the weight machine exercise and the number of exercises. Specifically, the CPU 21 searches for an exercise history including the same combination as the combination of the user ID of the specific user and the lesson ID of the suggested lesson. Next, the CPU 21 acquires the load weight and the number of exercises from the retrieved exercise history. When the corresponding exercise history does not exist, the CPU 21 acquires the load weight and the number of exercises corresponding to the exercise ID of the proposed exercise from the exercise load master table. The CPU 21 stores the acquired load weight and number of exercises in the proposal information. Next, the CPU 21 compares the muscle mass score of each body part in the latest body composition information of the specific user. When the difference between the highest muscle mass score and the lowest muscle mass score is a predetermined value or more, the CPU 21 performs exercise corresponding to the lesson ID of the exercise part lesson corresponding to the body part having the lowest muscle mass score in the proposal information. A predetermined value is added to the number of times. The predetermined value may be 10 times, for example. When step S45 is completed, the CPU 21 ends the lesson search process.

  In step S46, the CPU 21 acquires an action type corresponding to the exercise ID of the suggested exercise from the exercise content master table. Then, the CPU 21 determines whether or not the operation type is composite. At this time, if the CPU 21 determines that the operation type is composite (step S46: YES), the CPU 21 proceeds to step S48. On the other hand, when the CPU 21 determines that the operation type is not composite (step S46: NO), the CPU 21 proceeds to step S47. In step S47, the CPU 21 acquires a lesson ID corresponding to the exercise ID of the suggested exercise from the lesson content master table. Then, the CPU 21 stores the acquired lesson ID in the proposal information. When step S47 is completed, the CPU 21 ends the lesson search process.

  In step S48, the CPU 21 searches the lesson content master table for the lesson ID corresponding to the set exercise time from the lesson ID corresponding to the exercise ID of the suggested exercise. Next, the CPU 21 determines whether there is a corresponding lesson ID (step S49). At this time, if the CPU 21 determines that there is a corresponding lesson ID (step S49: YES), the CPU 21 proceeds to step S50. In step S50, the CPU 21 stores one of the retrieved lessons in the proposal information. Next, the CPU 21 proceeds to step S54. On the other hand, if the CPU 21 determines that there is no corresponding lesson ID (step S49: NO), the CPU 21 proceeds to step S51.

  In step S51, the CPU 21 acquires the target type corresponding to the exercise ID of the suggested exercise from the exercise content master table. Then, the CPU 21 determines whether or not the target type is a group. At this time, if the CPU 21 determines that the target type is a group (step S51: YES), the CPU 21 proceeds to step S52. On the other hand, when the CPU 21 determines that the target type is not a group (step S51: NO), the CPU 21 proceeds to step S53.

  In step S52, the CPU 21 changes the exercise ID of the suggested exercise to the exercise ID of the individual exercise. Specifically, the CPU 21 acquires, from the exercise content master table, an exercise ID whose target type is an individual among exercise IDs corresponding to the exercise name of the proposed exercise. Then, the CPU 21 changes the exercise ID stored in the proposal information to the acquired exercise ID. Next, the CPU 21 proceeds to step S48.

  In step S53, the CPU 21 acquires, from the lesson content master table, the lesson ID corresponding to the exercise time closest to the set exercise time from the lesson IDs corresponding to the exercise ID of the suggested exercise. Then, the CPU 21 stores the acquired lesson ID in the proposal information. Next, the CPU 21 determines whether or not the target type corresponding to the exercise ID of the proposed exercise is an individual (step S54). At this time, if the CPU 21 determines that the target type is not an individual (step S54: NO), it ends the lesson search process. On the other hand, if the CPU 21 determines that the target type is an individual (step S54: YES), the CPU 21 proceeds to step S55.

  In step S55, the CPU 21 determines whether or not the same combination as the combination of the user ID of the specific user and the lesson ID of the suggested lesson is registered in the exercise history table (step S55). At this time, if the CPU 21 determines that the same combination is not registered (step S55: NO), the lesson search process is terminated. On the other hand, if the CPU 21 determines that the same combination is registered (step S55: YES), the CPU 21 proceeds to step S56.

  In step S56, the CPU 21 searches the body composition information corresponding to the user ID of the specific user from the body composition information table for the body composition information of the registration date and time within a predetermined period from the present to the past. Then, the CPU 21 determines whether there are a plurality of corresponding body composition information. At this time, if the CPU 21 determines that there are no corresponding body composition information (step S56: NO), the lesson search process is terminated. On the other hand, if the CPU 21 determines that there are a plurality of corresponding body composition information (step S56: YES), the CPU 21 proceeds to step S57.

  In step S57, the CPU 21 obtains the latest body composition information and the oldest body composition information from the retrieved body composition information. Next, the CPU 21 calculates the rate of change from the oldest body composition value to the latest body composition value in the body composition item corresponding to the purpose ID. Next, the CPU 21 determines whether or not the absolute value of the change rate is equal to or less than a predetermined value. At this time, if the CPU 21 determines that the absolute value of the change rate is not less than or equal to the predetermined value (step S57: NO), the lesson search process is terminated. On the other hand, when the CPU 21 determines that the absolute value of the change rate is equal to or less than the predetermined value (step S57: YES), the CPU 21 proceeds to step S58.

  In step S58, the CPU 21 increases the exercise tempo. Specifically, the CPU 21 acquires an exercise history including the same combination as the combination of the user ID of the specific user and the lesson ID of the suggested lesson from the exercise history table. Next, the CPU 21 acquires the exercise tempo from the exercise history with the latest registration date and time among the acquired exercise histories. Next, the CPU 21 adds a predetermined value to the acquired exercise tempo. The predetermined value may be 10 or the like, for example. Next, the CPU 21 stores the exercise tempo to which the predetermined value is added in the proposal information. After completing step S58, the CPU 21 ends the lesson search process.

  As described above, according to the present embodiment, the CPU 21 acquires the user ID of the specific user. Further, the CPU 21 has at least one or more lesson IDs associated with the user ID of the specific user in the proposal information table among the lesson IDs associated with the user ID of the specific user in the exercise history table. Determine if there is. Further, when it is determined that the lesson ID is equal to or greater than the predetermined value, the CPU 21 acquires the target type associated with the exercise ID corresponding to the lesson ID from the exercise content master table. Then, the CPU 21 determines an exercise ID corresponding to the acquired target type, and outputs a lesson ID corresponding to the determined exercise ID as a lesson ID of the suggested lesson. Therefore, it is possible to propose an exercise that suits the user's preference.

  In the above embodiment, the information processing apparatus of the present invention is applied to the distribution server 2. However, the information processing apparatus of the present invention may be applied to the browsing terminal 5. For example, the browsing terminal 5 may acquire various tables from the distribution server 2 and determine the exercise ID of the suggested exercise and the lesson ID of the suggested lesson. Further, the information processing apparatus of the present invention may be applied to the distribution server 2 and the browsing terminal 5. The distribution server 2 and the browsing terminal 5 may perform processing in cooperation.

1 exercise support system 2 distribution server 3 database 5 browsing terminals 21, 51 CPU
22, 52 ROM
23, 53 RAM
37 HDD
30, 60 Network communication unit 56 Display control unit 57 Memory 59 Display

Claims (5)

First control means for associating the proposed exercise identification information proposed from among the plurality of exercise identification information and the user identification information representing the user for whom the proposed exercise identification information was proposed, and storing the association in the first storage means; ,
Second control means for associating execution exercise identification information indicating exercise executed in the plurality of exercise identification information with user identification information representing a user who executed the exercise in association with the second storage means;
First acquisition means for acquiring specific user identification information representing a specific user;
The specific associated with the specific user identification information in the specific exercise identification information associated with the specific user identification information with reference to the first storage means and the second storage means First determination means for determining whether or not the proposed exercise identification information is greater than or equal to a predetermined value;
When it is determined by the first determination means that the specific proposed exercise identification information is greater than or equal to a predetermined value in the specific execution exercise identification information, each of the plurality of exercise identification information and the plurality of exercise identification information The exercise type information associated with the specific proposed exercise identification information is acquired from the third storage means for associating and storing the exercise type information representing the exercise for the individual or the exercise for the group as the exercise type. 2 acquisition means;
Suggesting means for causing the output means to output one or more pieces of exercise identification information associated with the exercise type information acquired by the second acquisition means with reference to the third storage means as proposed exercise identification information; ,
An information processing apparatus comprising: Some prior Symbol said motion type information associated with the acquired motion identification information by the second acquisition means, and the motion type information indicating the motion of the motion type information and for populations representing the movement of personal A second determination means for determining which is more,
The information processing apparatus according to claim 1, wherein the suggesting unit outputs one or more pieces of exercise identification information associated with the exercise type information determined to be more by the second determining unit. The first determination means determines whether a ratio between the number of the specific execution exercise identification information and the number of the specific suggested exercise identification information is a predetermined value or more,
When the first determination unit determines that the ratio is equal to or greater than a predetermined value, the second acquisition unit obtains exercise type information associated with the specific execution exercise identification information from the third storage unit. The information processing apparatus according to claim 1, wherein the information processing apparatus is acquired. User identification information for identifying a user, body composition information indicating the body composition of the user, and date information indicating a date on which the body composition is registered are stored in association with each other in the fourth storage unit. Third determination means for determining whether a difference in body composition within a predetermined period is less than or equal to a predetermined value in the body composition information stored in association with identification information;
When it is determined by the third determination means that the difference in the body composition is less than or equal to a predetermined value, the suggestion means performs the exercise for the individual in the exercise type information acquired by the second acquisition means. 3. The information processing according to claim 2, wherein the exercise identification information is one or more pieces of exercise identification information associated with the exercise type information to be expressed, and the exercise identification information representing an exercise load larger than a predetermined exercise load is output. apparatus. A first control step of associating the proposed exercise identification information proposed from among the plurality of exercise identification information with the user identification information representing the user to whom the proposed exercise identification information is proposed, and storing it in the first storage means; ,
A second control step of associating execution exercise identification information indicating exercise executed in the plurality of exercise identification information with user identification information indicating a user who executed the exercise in association with the second storage unit;
A first acquisition step of acquiring specific user identification information representing a specific user;
The specific associated with the specific user identification information in the specific exercise identification information associated with the specific user identification information with reference to the first storage means and the second storage means A first determination step of determining whether or not the proposed exercise identification information is greater than or equal to a predetermined value;
When it is determined in the first determination step that the specific proposed exercise identification information is greater than or equal to a predetermined value in the specific execution exercise identification information, each of the plurality of exercise identification information and the plurality of exercise identification information The exercise type information associated with the specific proposed exercise identification information is acquired from the third storage means for associating and storing the exercise type information representing the exercise for the individual or the exercise for the group as the exercise type. 2 acquisition steps;
A suggestion step of referring to the third storage means and causing the output means to output one or more pieces of exercise identification information associated with the exercise type information acquired in the second acquisition step as proposed exercise identification information; ,
A program that causes a computer to execute.

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