JP7584045B2 - Stimulus output system and stimulation output method - Google Patents

Description

This disclosure relates to a stimulation output system and a stimulation output method.

Patent Document 1 discloses a system that includes a number of sensors that detect the subject's slow wave activity and output raw signals, a number of stimulators that provide stimulation to the subject, and one or more hardware processors that communicate with the one or more sensors and the one or more stimulators, and that determines the timing of slow wave events from the received raw signals and the filtered raw signals, and adjusts the timing of the stimulation output by comparing the two.

Special table 2019-536583 publication

In conventional systems, information about the subject's sleep was not taken into consideration when outputting stimuli. In addition, conventional systems were limited to outputting auditory stimuli, and sensors and other devices were used as specialized equipment, resulting in low versatility.

The purpose of this disclosure is to use a highly versatile device to output stimuli that reflect information about the subject's sleep, using a wider variety of stimuli than ever before.

In order to achieve the above-mentioned object, a stimulation output system according to one embodiment of the present disclosure includes a sensor that detects biometric information of a user, an output device that provides a sensory stimulation to the user, and a control device that controls the output device, wherein the control device accumulates the biometric information detected by the sensor, calculates a regression line obtained by performing a regression analysis on a plurality of accumulated pieces of biometric information as basic data, determines the degree of deviation between the target biometric information and the regression line based on the result of comparing the target biometric information with the regression line, and causes the output device to provide the sensory stimulation to the user depending on the degree of deviation .

In addition, a stimulation output method according to one aspect of the present disclosure is a stimulation output method executed by a control device, and includes a step of accumulating biometric information of a user detected by a sensor, and calculating a regression line obtained by performing a regression analysis on the accumulated biometric information as basic data, a step of determining a degree of deviation between the target biometric information and the regression line based on a result of comparing the target biometric information with the regression line, and a step of causing an output device to provide a sensory stimulation to the user depending on the degree of deviation.

The stimulation output system according to one embodiment of the present disclosure uses a versatile device and can output stimulation that reflects information about the subject's sleep using a wider variety of stimulations than ever before.

FIG. 1 is a block diagram of a stimulus output system according to an embodiment. FIG. 2 is a flowchart showing the operation of the stimulus output system according to the embodiment. FIG. 3 is a diagram showing a sensor of the stimulation output system according to the embodiment. FIG. 4 is a diagram showing an example of heart rate data acquired by a sensor of the stimulation output system according to the embodiment. FIG. 5 is a flowchart showing the operation of a process using regression analysis performed by the stimulus output system according to the embodiment. FIG. 6 is a diagram showing an example of a regression analysis of heart rate data performed by the stimulation output system according to the embodiment. FIG. 7 is a diagram illustrating an example of an output device of the stimulus output system according to the embodiment. FIG. 8 is a diagram showing heart rates when going outside and when not going outside. FIG. 9 is a diagram showing an outline of lighting control of the stimulus output system according to the embodiment. FIG. 10 is a diagram showing the relationship between sunlight and physical factors. FIG. 11 is a flowchart showing the control of the lighting device performed by the control device of the stimulus output system in the embodiment. FIG. 12 is a diagram illustrating an example of an external environment sensor of the stimulus output system according to the embodiment. FIG. 13 is a diagram showing synchronization between the stimulation output system and a mobile terminal according to the embodiment. FIG. 14 is a diagram showing an example of a screen on which the stimulus output system according to the embodiment notifies an advice.

Below, embodiments of the present disclosure will be described with reference to the drawings. Note that each of the embodiments described below shows a specific example of the present disclosure. Therefore, the numerical values, shapes, materials, components, the arrangement and connection of the components, steps, and the order of steps shown in the embodiments below are merely examples and are not intended to limit the present disclosure.

Each figure is a schematic diagram and is not necessarily illustrated precisely. Therefore, for example, the scales and the like do not necessarily match in each figure. Furthermore, in each figure, the same reference numerals are used for substantially the same configurations, and duplicate explanations are omitted or simplified.

The following describes the stimulus output system and stimulus output method according to the embodiment.

(Embodiment)
[Configuration of the stimulation output system]
First, the configuration of the stimulation output system will be described. FIG. 1 is a block diagram of the stimulation output system 1 in the embodiment. As shown in FIG. 1, the stimulation output system 1 includes a control device 10, a sensor 20, an output device 30, an external environment sensor 40, and a mobile terminal 50. The stimulation output system 1 does not need to include the external environment sensor 40 and the mobile terminal 50. The control device 10 includes an acquisition unit 11, a storage unit 12, a calculation unit 13, a determination unit 14, an output unit 15, and a notification unit 16. The control device 10 analyzes bioinformation by a machine learning method through a series of processes of the storage unit 12, the calculation unit 13, and the determination unit 14, and causes the output device 30 to output a stimulation. The control device 10 does not need to include the notification unit 16.

The sensor 20 also includes a heart rate monitor 21, an electroencephalograph 22, an acceleration sensor 23, and a sweat sensor 24. Note that the sensor 20 may include any one of the heart rate monitor 21, the electroencephalograph 22, the acceleration sensor 23, and the sweat sensor 24, and does not necessarily need to include all of them.

The output device 30 also includes a lighting fixture 31, an air conditioning device 32, and an audio device 33. Note that the output device 30 may include any one of the lighting fixture 31, the air conditioning device 32, and the audio device 33, and does not necessarily have to include all of them. The output device 30 may also include any two of the lighting fixture 31, the air conditioning device 32, and the audio device 33.

The external environment sensor 40 includes an illuminometer 41, a thermometer 42, and a hygrometer 43. Note that the external environment sensor 40 may include any one of the illuminometer 41, the thermometer 42, and the hygrometer 43, and does not necessarily need to include all of them.

The control device 10 is realized by a processor such as a CPU and a memory. The control device 10 controls the stimulation output of the output device 30. The control device 10 also receives and stores signals indicating bioinformation from the sensor 20, and analyzes the stored bioinformation. In addition, the control device 10 notifies the user of the results of the analysis of the bioinformation.

The acquisition unit 11 acquires the biometric information transmitted from the sensor 20 and the external environment data transmitted from the external environment sensor 40.

The storage unit 12 stores and accumulates the biometric information acquired by the acquisition unit 11. The storage unit 12 may further store and accumulate the external environment data acquired by the acquisition unit 11.

The calculation unit 13 analyzes the bioinformation accumulated by the storage unit 12 to calculate basic data. Here, the analysis method is, for example, regression analysis. The calculation unit 13 may perform regression analysis or other analysis using machine learning on the data related to the bioinformation accumulated by the storage unit 12. The basic data calculated by the calculation unit 13 is, for example, a regression line obtained by performing a regression analysis on the bioinformation accumulated by the storage unit 12. The basic data may be a result obtained by performing a mathematical analysis on the bioinformation accumulated by the storage unit 12.

The determination unit 14 determines whether the target biometric information satisfies a criterion based on the target biometric information and the basic data. For example, the determination unit 14 compares the target biometric information with a regression line obtained by performing a regression analysis on the basic data, which is the biometric information stored by the storage unit 12, and determines the degree of deviation between the target biometric information and the regression line. Here, the target biometric information refers to one piece of biometric information that is the subject of the determination. The target biometric information may be one piece of biometric information included in the biometric information stored by the storage unit 12, or it may be biometric information that is not included in the biometric information stored by the storage unit 12 and is detected by the sensor 20.

The output unit 15 causes the output device 30 to provide a sensory stimulus to the user. The output unit 15 may cause the output device 30 to provide a sensory stimulus to the user depending on the result of the determination unit 14.

The notification unit 16 notifies the user of the result of the analysis of the bioinformation accumulated by the storage unit 12 or advice on the user's sleep derived from the result of the analysis of the bioinformation accumulated by the storage unit 12. The notification unit 16 may display the result of the analysis of the bioinformation accumulated by the storage unit 12 or advice on the user's sleep derived from the result of the analysis of the bioinformation accumulated by the storage unit 12 on a display, or may display the result of the analysis of the bioinformation accumulated by the storage unit 12 or advice on the user's sleep derived from the result of the analysis of the bioinformation accumulated by the storage unit 12 on a mobile terminal such as a smartphone or a tablet terminal. The notification unit 16 may also notify the result of the analysis of the bioinformation accumulated by the storage unit 12 or advice on the user's sleep derived from the result of the analysis of the bioinformation accumulated by the storage unit 12 by voice through a speaker or the like.

The sensor 20 detects the user's biometric information and transmits the detected signal to the acquisition unit 11 of the control device 10.

The heart rate meter 21 detects the user's pulse waves. Specifically, the heart rate meter 21 is a pulse wave sensor that detects pulse waves using photoplethysmography. Photoplethysmography is a method of detecting pulse waves in which infrared light or red light (green light can also be used in the case of reflective light) is irradiated onto the body surface, and the amount of change in light that passes through the body or the amount of light that is reflected within the body is captured as a change in blood flow. The heart rate meter 21 detects pulse waves, for example, near the user's earlobe, and outputs the pulse wave data.

The electroencephalograph 22 detects the user's brain waves. Specifically, the electroencephalograph 22 is a circuit that detects the voltage value between a first electrode that contacts the upper part of the user's ear (in other words, the temporal region) and a second electrode that contacts the user's earlobe, and outputs the voltage value as electroencephalogram data. Note that the positions of the first electrode and the second electrode are merely examples and are not particularly limited.

The acceleration sensor 23 is, for example, a three-axis acceleration sensor that detects acceleration in each of the X, Y, and Z directions and outputs the detection results as acceleration data. The acceleration data is used to determine whether the user is stationary or not. The acceleration sensor 23 may be a piezo-resistance type acceleration sensor, a capacitance type acceleration sensor, or a thermal detection type acceleration sensor.

The sweat sensor 24 is a sensor that measures the amount of sweat produced by the user wearing the sweat sensor 24. The sweat sensor 24 detects the humidity of the outside air, for example, using a built-in hygrometer. In addition, the sweat sensor 24 collects air into which the sweat of the user wearing the sweat sensor 24 has been diffused, and detects its humidity. The amount of sweat evaporated from the user's skin is then detected by calculating the difference between the two values using a differential amplifier.

The output device 30 is a device for providing a sensory stimulus to the user. The output device 30 receives a signal from the control device 10 and outputs a sensory stimulus based on the signal.

The lighting fixture 31 is, for example, a ceiling light that illuminates the room, and is dimming-controlled by the control device 10. Note that the lighting fixtures 20-1 to 20-n are not limited to ceiling lights with a rectangular planar shape, but may be ceiling lights, spotlights, base lights, downlights, etc. with a circular planar shape.

The air conditioner 32 includes an air filter, a humidifier, a cooling coil, a heating coil, and a blower. The air conditioner 32 is a device that adjusts the temperature or humidity of the air in the room by transporting heated air, cooled air, humidified air, or dehumidified air using a heat pump or the like.

The acoustic device 33 outputs sound based on the control of the control device 10. The acoustic device is, for example, a loudspeaker. For example, the acoustic device 33 may be a cone-type speaker, a dome-type speaker, a horn-type speaker, or a ribbon-type speaker.

The external environment sensor 40 is a sensor that detects the state of the external environment surrounding the stimulation output system and transmits the detected signal to the acquisition unit 11 of the control device 10.

The illuminometer 41 detects the illuminance in the room in which the stimulus output system 1 is installed. The illuminometer 41 measures the luminous flux per unit area and quantifies the brightness of the surface illuminated by the light. The illuminometer 41 includes a photodiode, an optical filter, and a diffusion globe.

The thermometer 42 detects the temperature in the room in which the stimulus output system 1 is installed. The thermometer 42 is, for example, a thermistor thermometer or an infrared radiation thermometer. A thermistor thermometer passes a small amount of current through a sensor made of two types of metal with different thermoelectric powers welded together to measure the resistance, which is then converted into a temperature value. An infrared radiation thermometer detects infrared rays emitted from an object to detect temperature. The thermometer 42 may also be a mercury thermometer or a bimetal thermometer.

The hygrometer 43 detects the humidity in the room in which the stimulus output system 1 is installed. The hygrometer 43 may be a bimetallic hygrometer, a psychrometric meter, an electric hygrometer, a dew point meter, or a telescopic hygrometer. The electric hygrometer may be a resistive type or a capacitive type. The electric hygrometer detects humidity by detecting the change in the resistance value of a moisture-sensitive material with an electrode.

The mobile terminal 50 is a terminal such as a smartphone or a tablet terminal. The mobile terminal 50 may also be a PDA (Personal Digital Assistant). The mobile terminal 50 communicates with the control device 10 and synchronizes data.

[Overview of the operation of the stimulation output system]
Next, there will be described an outline of the operation of the stimulus output system 1. Fig. 2 is a flowchart showing the operation of the stimulus output system in the embodiment.

First, the sensor 20 collects biometric information of the user before sleep (step S100). The sensor 20 is, for example, a heart rate monitor 21, and detects the heart rate of the user who is active during the day as the user's heart rate before sleep.

Next, the sensor 20 collects biometric information of the user while he/she is sleeping (step S101). The sensor 20 is, for example, a heart rate monitor 21, and detects the heart rate of the user while he/she is sleeping. The sensor 20 may also be, for example, an acceleration sensor 23, and detects the presence or absence of body movement of the user while he/she is sleeping, or the state of body movement. Here, the state of body movement means detecting any of the time when the body movement occurred, the intensity of the body movement, and the magnitude of the body movement. Note that the state of body movement may also be related to body movement other than the above.

Next, the sensor 20 collects biometric information of the user after sleep (step S102). The sensor 20 is, for example, a heart rate meter 21, and detects the user's heart rate immediately after waking up as the user's heart rate after sleep. Here, the user's heart rate immediately after waking up specifically means the user's heart rate within one hour after waking up. Note that the user's heart rate immediately after waking up is not limited to the heart rate within one hour after waking up, so long as it is a heart rate detected in a time period before the time period determined in step S100 to detect the user's heart rate before sleep.

Next, the calculation unit 13 of the control device 10 constructs a machine learning model for analyzing the biometric information stored by the storage unit 12 (step S103). The machine learning model used in step S103 will be described later.

Then, the calculation unit 13 calculates the basic data by analysis using the machine learning model (step S104). For example, the control device 10 may analyze the biometric information and calculate the basic data using a machine learning model in which the data during the user's sleep is the objective variable and the data before the user sleeps and after the user sleeps are the explanatory variables.

Next, the determination unit 14 of the control device 10 determines whether the degree of deviation between the target biometric information and the basic data is within an acceptable range (step S105).

If the determination unit 14 determines that the degree of deviation between the target biometric information and the basic data is within an acceptable range (Yes in step S105), the control device 10 determines whether or not to end the process (step S107).

If the control device 10 determines to end the processing (Yes in step S107), the control device 10 ends the processing.

If the control device 10 determines not to end the process (No in step S107), it returns to step S100.

If the determination unit 14 determines that the degree of deviation between the target biometric information and the basic data is not within an acceptable range (No in step S105), the output unit 15 of the control device 10 causes the output device 30 to provide a sensory stimulus to the user (step S106).

Next, after step S106, the control device 10 determines whether or not to end the process (step S107).

If the control device 10 determines to end the processing (Yes in step S107), the control device 10 ends the processing.

If the control device 10 determines not to end the process (No in step S107), it returns to step S100.

[Collection of biometric information]
Next, collection of biological information performed by the stimulation output system 1 will be described.

Figure 3 is a diagram showing the sensor 20 of the stimulation output system 1 in the embodiment. As shown in (a) of Figure 3, the sensor 20 is, for example, a heart rate monitor 21 that is a watch-type wearable device. The user wears the heart rate monitor 21 on the wrist and engages in daytime activities and sleeps, and the heart rate monitor 21 detects the heart rate of the user who is engaged in daytime activities and sleeps. Note that the sensor 20 is not limited to a watch-type wearable device. The sensor 20 may be a wristband-type wearable device or a glasses-type wearable device. The sensor 20 may also be a sensor that is directly attached to the user's skin. The sensor 20 communicates with the acquisition unit 11 via a wired or wireless connection.

For example, the sensor 20 detects the user's biometric information while in contact with the user at a position below the user's shoulders when the user is in an upright position.

As shown in FIG. 3B, the sensor 20 is, for example, a camera. The sensor 20 may be a visible camera or an infrared camera. For example, the camera that is the sensor 20 detects the user's body temperature or activity level. In other words, the sensor 20 detects the user's biometric information while being separated from the user.

Next, a specific example of bioinformation detected by the sensor 20 will be described. FIG. 4 is a diagram showing an example of heart rate data acquired by the sensor 20 of the stimulation output system 1 in the embodiment. As shown in FIG. 4, the heart rate meter 21 continuously detects the user's heart rate every 0.5 hours. As shown in FIG. 4, the heart rate meter 21 can detect the user's heart rate over both the user's sleeping time and active time. Also, as shown in FIG. 4, the accumulation unit 12 accumulates multiple sets of continuously detected heart rate data. The cycle of the set of heart rate data may be 24 hours or 36 hours.

[Regression analysis of biological information]
Next, the analysis using regression analysis of biological information performed by the stimulation output system 1 will be described. FIG. 5 is a flowchart showing the operation of the process using regression analysis performed by the stimulation output system in the embodiment. The control device 10 calculates a regression line obtained by performing regression analysis on a plurality of biological information stored as basic data, and causes the output device 30 to give a sensory stimulus to the user based on the result of comparing the target biological information with the regression line. The calculation unit 13 analyzes the biological information stored by the storage unit 12 to calculate the basic data, and at this time, performs the analysis using regression analysis. The type of regression analysis is simple regression analysis, multiple regression analysis, logistic regression analysis, nonlinear regression analysis, etc.

First, the sensor 20 detects the user's biometric information (step S200).

Next, the storage unit 12 stores the user's biometric information acquired by the acquisition unit 11 from the sensor 20 (step S201).

The calculation unit 13 then analyzes the biometric information stored by the storage unit 12 using a regression analysis method (step S202). Here, the calculation unit 13 calculates a regression line from the biometric information stored by the storage unit 12. Here, the biometric information that is the subject of analysis by the calculation unit 13 may be a portion of the biometric information stored by the storage unit 12. The calculation unit 13 may analyze a certain amount of the most recently stored biometric information among the biometric information stored by the storage unit 12.

Then, the determination unit 14 determines the degree of deviation between the target biometric information and the regression line calculated in step S202 (step S203). Here, the degree of deviation between the target biometric information and the regression line calculated in step S202 may refer to the difference between the y-coordinate value of the regression line and the y-coordinate value of the target biometric information at the same X-coordinate as the target biometric information.

Next, the output unit 15 controls the output device 30 based on the determination result issued by the determination unit 14 (step S204). In other words, the output unit 15 causes the output device 30 to provide a sensory stimulus to the user in accordance with the determination result issued by the determination unit 14.

For example, the calculation unit 13 calculates a regression line as shown in FIG. 6. FIG. 6 is a diagram showing an example of a regression analysis of heart rate data performed by a stimulation output system in an embodiment. The solid line in FIG. 6 indicates the regression line calculated by the calculation unit 13. In FIG. 6, a dashed line indicates a line that deviates from the calculated regression line by a predetermined value. The predetermined value is set arbitrarily. The predetermined value may be changed each time the determination unit 14 performs a determination. The period for changing the predetermined value may be every determination or every predetermined number of determinations.

The control device 10 determines the degree of deviation between the target bioinformation and the regression line, and causes the output device 30 to provide a sensory stimulus to the user depending on the degree of deviation. The judgment unit 14 judges the bioinformation (here, heart rate) present in the area below the dashed line as NG. Note that while there is only one dashed line indicating the judgment threshold in FIG. 6, there may be two dashed lines. For example, the judgment unit 14 may judge the bioinformation (here, heart rate) present in the area below the dashed line and the bioinformation (here, heart rate) present in the area above another dashed line (not shown) as NG.

[Stimulus output by output device]
Next, the output of stimuli by the output device 30 will be described. Fig. 7 is a diagram showing an example of an output device of the stimulus output system in the embodiment. The output device 30 outputs a sensory stimulus to the user under control of the output unit 15 of the control device 10. As shown in Fig. 7, the output device 30 may be a lighting device, an air conditioning device, or an audio device.

The following describes a case where the output device 30 is a lighting device that outputs light stimuli to the user.

Figure 8 shows heart rates when going outside and when not going outside. As shown in Figure 8, the heart rate during sleep when going outside, shown by the solid line, is lower than the heart rate during sleep when not going outside, shown by the dashed line. This shows that when you are exposed to more sunlight during the day, such as by going outside, your heart rate during sleep is lower and you are getting higher quality sleep than when you do not go outside during the day and are not exposed to more sunlight.

Therefore, as shown in FIG. 9, the stimulation output system 1 controls to increase the illuminance of the lighting device on days when the sleep score calculated from the user's heart rate is low. FIG. 9 is a diagram showing an outline of the lighting control of the stimulation output system in the embodiment. Here, the sleep score is a value calculated by the calculation unit 13 based on the user's heart rate detected by the sensor 20. For example, the higher the user's heart rate during sleep, the lower the calculated sleep score.

For example, the lighting control on a day with an average sleep score is 4000K between 3 and 5 hours after waking, 5000K between 5 and 7 hours after waking, 4000K between 7 and 9 hours after waking, 3500K between 9 and 11 hours after waking, 3000K between 11 and 12 hours after waking, and 2700K after 12 hours after waking. This lighting control may be one that mimics sunlight.

In contrast, the lighting control on days with a low sleep score may be, for example, a value higher than 4000K between 3 and 5 hours after waking, a value higher than 5000K between 5 and 7 hours after waking, a value higher than 4000K between 7 and 9 hours after waking, 3500K between 9 and 11 hours after waking, 3000K between 11 and 12 hours after waking, and 2700K after 12 hours after waking. This lighting control may be one that mimics sunlight.

In lighting control on a day with a low sleep score, the illuminance of the lighting device may be 100 to several hundred K higher, or 1,000 to several thousand K higher, than the illuminance used in lighting control on a day with an average sleep score. In lighting control on a day with a low sleep score, the period during which a higher illuminance is used than in lighting control on a day with an average sleep score may be several hours or about half a day.

When controlling lighting on days with a low sleep score, the lighting device may reproduce an illuminance level and duration that provides the user with the same level of light exposure as they would receive if they were outside in sunlight for several hours during the day.

Figure 10 is a diagram showing the relationship between sunlight and physical factors. According to Figure 10, there is a relationship between exposure to sunlight and physical factors related to the biological clock, such as serotonin, melatonin, growth hormone, and stress hormone. Therefore, by providing the user with light stimuli similar to the sunlight that the user would be exposed to if they went outside during the day, the possibility of controlling the user's biological clock is increased. Therefore, the stimulus output system 1 is useful for improving the user's circadian rhythm.

In other words, by providing the user with light stimuli similar to the sunlight that they would be exposed to if they went outside during the day on a day when their sleep score was low, the stimulus output system 1 may be able to control physical factors related to the user's biological clock and improve the user's biological clock.

Figure 11 is a flowchart showing the control of the lighting device performed by the control device 10 of the stimulus output system 1 in the embodiment.

First, the sensor 20 detects the user's biometric information (step S300).

Next, the storage unit 12 stores the user's biometric information detected by the sensor 20 (step S301).

Next, the calculation unit 13 analyzes the biometric information stored by the storage unit 12 using a regression analysis method (step S302).

Next, the determination unit 14 determines whether the target biometric information deviates from the regression line by a predetermined value or more (step S303).

When the determination unit 14 determines that the target biometric information deviates from the regression line by a predetermined value or more (Yes in step S303), the output unit 15 increases the illuminance of the output device 30 (step S304). In other words, when the determination unit 14 determines that the target biometric information is NG, the output unit 15 increases the illuminance of the output device 30.

When the determination unit 14 determines that the target biometric information does not deviate from the regression line by a predetermined value or more (No in step S303), the output unit 15 maintains the illuminance of the output device 30 (step S305). In other words, when the determination unit 14 determines that the target biometric information is not NG, the output unit 15 maintains the illuminance of the output device 30.

[External environment sensor]
Next, the external environment sensor 40 included in the stimulus output system 1 will be described. FIG. 12 is a diagram showing an example of the external environment sensor 40 of the stimulus output system in the embodiment. The stimulus output system 1 may include an external environment sensor 40 for detecting the environment of the place where the stimulus output system 1 is installed. As shown in FIG. 12, the external environment sensor 40 is, for example, a light meter, a thermometer, a hygrometer, etc. The external environment sensor 40 may be any one of a light meter, a thermometer, and a hygrometer. The external environment data acquired by the external environment sensor 40 includes at least one of the amount of light exposure, the temperature, and the humidity.

The stimulus output system 1 may reflect the illuminance detected by the illuminometer, the temperature detected by the thermometer, or the humidity detected by the hygrometer in the environment in which the stimulus output system 1 is installed, in determining a threshold value (a value deviating from the regression line) used in the judgment made by the judgment unit 14. The stimulus output system 1 may also reflect the illuminance detected by the illuminometer, the temperature detected by the thermometer, or the humidity detected by the hygrometer in the environment in which the stimulus output system 1 is installed, in the illuminance, air volume, wind direction, volume, etc. determined by the output unit 15 when the output device 30 outputs a sensory stimulus.

[Other operations of the stimulation output system]
When analyzing the target biological information, the stimulation output system 1 may change the range of biological information to be analyzed for each analysis, among the biological information stored by the storage unit 12. The change may reflect information other than the biological information (e.g., external environment data such as temperature, humidity, and illuminance).

The stimulation output system 1 may also change the predetermined value each time it determines whether the target bioinformation deviates from the basic data by a predetermined value or more. The change may reflect the most recently acquired bioinformation such as the heart rate, or the previous day's sleep score, and information other than the bioinformation (e.g., external environmental data such as temperature, humidity, and illuminance).

By making the various modifications described above, the stimulation output system 1 may output more appropriate sensory stimulation in accordance with the user's condition.

The control device 10 may also wirelessly acquire and update the algorithm for controlling the output device 30 from the outside. For example, the control device 10 includes a communication unit, which acquires the algorithms used by the calculation unit 13 and the determination unit 14, or the algorithm used by the output unit 15 to control the lighting, from the outside via wireless communication, and the calculation unit 13, the determination unit 14, and the output unit 15 update the existing algorithms using the algorithm acquired by the communication unit. The communication unit may also perform wired communication. The control device 10 may also read and acquire the algorithm from a storage medium such as a Universal Serial Bus (USB) memory or a Compact Disc Read only memory (CD-ROM).

The stimulus output system 1 may also calculate and visualize the lux-h achievement level, which is the achievement level of the amount of light exposure on a target day relative to the target value for the amount of light exposure for that day. For example, the amount of light exposure of a user on a certain day may be measured, and the difference between the measured amount of light exposure and the target value for the amount of light exposure for that day may be calculated as the lux-h achievement level. The stimulus output system 1 may also measure the amount of light exposure of a user on a certain day, and the ratio of the measured amount of light exposure to the target value for the amount of light exposure for that day may be calculated as the lux-h achievement level.

The stimulation output system 1 may also visualize the lux-h achievement level and a sleep score that represents the user's sleep quality, calculated from the user's heart rate.

The stimulus output system 1 may also cause the lighting fixture to output light to the user that compensates for the difference between the target value for the amount of light exposure per day and the lux-h achievement level. For example, the stimulus output system 1 may divide the amount of light exposure on a target day by the target value for the amount of light exposure per day to determine the lux-h achievement level, and cause the lighting fixture to output light so that the lux-h achievement level becomes 1.

Figure 13 is a diagram showing synchronization between the stimulation output system 1 and the mobile terminal 50 in the embodiment. The stimulation output system 1 may further include a mobile terminal 50. In the stimulation output system 1, when the sensor 20 is activated while the mobile terminal 50 is operating, the mobile terminal 50 and the sensor 20 are synchronized, and while the mobile terminal 50 and the sensor 20 are operating, the mobile terminal 50 automatically acquires bioinformation from the sensor 20 at regular intervals or acquires bioinformation by manual input by the user. In addition, when the sensor 20 is not operating, the mobile terminal 50 does not need to be synchronized with the mobile terminal 50.

Figure 14 is a diagram showing an example of a screen on which the stimulation output system in the embodiment notifies advice. The control device 10 calculates the circadian rhythm indicating the user's sleep cycle based on the user's biological information detected by the sensor 20, and notifies the user of the calculated circadian rhythm and advice about the user's sleep generated using AI (Artificial Intelligence).

For example, the notification unit 16 of the control device 10 calculates the user's circadian rhythm based on the user's biological information detected by the sensor 20. If the calculated circadian rhythm deviates from the average value by a predetermined value, the notification unit 16 notifies the user of a message encouraging the user to take an action that will be effective in regulating the circadian rhythm. For example, the notification unit 16 displays a message on the display as advice regarding sleep, saying, "Get some sun in the daytime." The calculation of the circadian rhythm and the determination of the circadian rhythm may be performed using AI.

[Effects, etc.]
The stimulus output system 1 of the present disclosure comprises a sensor 20 that detects a user's biometric information, an output device 30 that provides a sensory stimulus to the user, and a control device 10 that controls the output device 30, where the control device 10 accumulates the biometric information detected by the sensor 20, analyzes the accumulated biometric information to calculate basic data, and causes the output device 30 to provide a sensory stimulus to the user based on the calculated basic data.

As a result, the stimulation output system 1 can use a versatile device to output stimulation that reflects information about the user's sleep using a wider variety of stimulations than ever before.

In addition, for example, in the stimulation output system 1, the control device 10 calculates a regression line obtained by performing a regression analysis on multiple pieces of accumulated bioinformation as basic data, and causes the output device 30 to provide a sensory stimulation to the user based on the results of comparing the target bioinformation with the regression line.

As a result, the stimulation output system 1 can determine the user's sleep state by analyzing the user's biological information through regression analysis, and output stimulation accordingly.

For example, in the stimulation output system 1, the control device 10 determines the degree of deviation between the target bioinformation and the regression line, and causes the output device 30 to provide a sensory stimulation to the user depending on the degree of deviation.

As a result, when the user's circadian rhythm deviates from the average value, the stimulation output system 1 can output stimulation such that the user's sleep rhythm approaches the average.

For example, in the stimulation output system 1, the control device 10 analyzes bioinformation and calculates basic data using a machine learning model that uses the data of the user while he or she is asleep as the objective variable and the data of the user before and after he or she falls asleep as the explanatory variables.

As a result, the stimulation output system 1 can determine the user's sleep state by analyzing the user's biometric information using machine learning techniques, and output stimulation accordingly.

For example, in the stimulation output system 1, the control device 10 analyzes the biological information using any one of linear regression analysis, logistic regression analysis, and decision tree analysis, and calculates basic data.

This allows the stimulation output system 1 to analyze the user's biometric information using various regression analysis methods.

For example, in the stimulation output system 1, the output device 30 is a lighting fixture.

This allows the stimulus output system 1 to output light stimuli as sensory stimuli.

For example, in the stimulation output system 1, the control device 10 increases the illuminance of the output device 30 when the target bioinformation deviates from the regression line by a predetermined value or more.

As a result, the stimulus output system 1 can output light stimuli when the user's circadian rhythm deviates from the average value by a predetermined value so that the user's circadian rhythm approaches the average value.

Also, for example, in the stimulation output system 1, the control device 10 does not change the illuminance of the output device 30 if the target bioinformation does not deviate from the regression line by a predetermined value or more.

This allows the stimulus output system 1 to output light stimuli so as to maintain the user's circadian rhythm when the user's circadian rhythm does not deviate from the average value by a predetermined value.

For example, in the stimulation output system 1, the output device 30 is an air conditioning device.

This allows the stimulus output system 1 to output wind stimulation as a sensory stimulus, and also to adjust room temperature and humidity.

For example, in the stimulation output system 1, the output device 30 is an audio device.

This allows the stimulus output system 1 to output a sound stimulus as a sensory stimulus.

For example, in the stimulation output system 1, the output device 30 is a lighting fixture, an air conditioner, and/or an audio device.

As a result, the stimulus output system 1 can output multiple sensory stimuli, including outputting light stimuli, outputting wind stimuli, or adjusting room temperature and humidity, and outputting sound stimuli.

For example, in the stimulation output system 1, the sensor 20 detects the user's biometric information while in contact with the user at a position below the user's shoulders when the user is in an upright position.

This allows the stimulation output system 1 to detect the user's biometric information using a sensor that comes into contact with the user's wrist, etc.

For example, in the stimulation output system 1, the sensor 20 detects the user's biometric information while separated from the user.

This allows the stimulation output system 1 to detect the user's biometric information without contacting the user.

For example, in the stimulation output system 1, the bio-information includes at least one of the following: brain waves, heart rate, the user's movements during sleep, sweat, and breathing.

This allows the stimulation output system 1 to detect and analyze the quality and length of the user's sleep.

For example, in the stimulation output system 1, the cycle for acquiring biological information is 24 hours.

This allows the stimulation output system 1 to determine the user's circadian rhythm on a daily basis.

For example, the stimulation output system 1 further includes an external environment sensor 40 that acquires external environment data, which is data related to the external environment, and the control device 10 analyzes the external environment data acquired by the external environment sensor 40.

This allows the stimulation output system 1 to reflect the environment in which the stimulation output system 1 is installed in the analysis of the user's biometric information and the output of stimuli.

For example, the external environment data may include at least one of the following: light exposure, temperature, and humidity.

This allows the stimulation output system 1 to detect and analyze external environmental factors related to the user's sleep quality, etc.

For example, the stimulation output system 1 further includes a mobile terminal 50. When the sensor 20 is activated while the mobile terminal 50 is operating, the mobile terminal 50 and the sensor 20 are synchronized. While the mobile terminal 50 and the sensor 20 are operating, the mobile terminal 50 automatically acquires biometric information from the sensor 20 at regular intervals, or acquires biometric information through manual input by the user.

This allows the stimulation output system 1 to perform processing in synchronization with the sensor 20 and the mobile terminal 50.

Also, for example, in the stimulation output system 1, the sensor 20 does not synchronize with the mobile terminal 50 when it is not operating.

This allows the stimulation output system 1 to synchronize the sensor 20 and the mobile terminal 50 at the appropriate timing.

For example, in the stimulation output system 1, the control device 10 wirelessly acquires and updates the algorithm that controls the output device 30 from an external device.

This allows the stimulation output system 1 to perform processing using an appropriate algorithm as needed.

For example, in the stimulation output system 1, the control device 10 calculates a circadian rhythm indicating the user's sleep cycle based on the user's biological information detected by the sensor 20, and notifies the user of the calculated circadian rhythm and advice about the user's sleep generated using AI.

This allows the stimulation output system 1 to provide the user with advice on how to sleep properly.

For example, in the stimulation output system 1, the control device 10 calculates and visualizes the lux-h achievement level, which is the achievement level of the light exposure amount on a target day relative to the target value of the light exposure amount for that day.

This allows the stimulation output system 1 to notify the user of the amount of light exposure, which can be useful in improving the user's circadian rhythm.

For example, in the stimulation output system 1, the control device 10 visualizes the lux-h achievement level and a sleep score that represents the user's sleep quality and is calculated from the user's heart rate.

This allows the stimulation output system 1 to inform the user of the amount of light exposure and the quality of the user's sleep, which can be useful in improving the user's circadian rhythm.

For example, in the stimulation output system 1, the control device 10 causes the lighting device to output light to the user that compensates for the difference between the target amount of light exposure in a day and the lux-h achievement level.

This allows the stimulation output system 1 to improve the user's circadian rhythm.

For example, the stimulation output method includes a detection step of detecting biometric information of the user with the sensor 20, an output step of providing a sensory stimulation to the user with the output device 30, and a control step of controlling the output device 30, in which the control step accumulates the biometric information detected by the sensor 20, analyzes the accumulated biometric information to calculate basic data, and causes the output device 30 to provide the sensory stimulation to the user based on the calculated basic data.

As a result, the stimulation output method can achieve the same effect as the stimulation output system 1 described above.

[others]
Although the embodiment has been described above, the present invention is not limited to the above embodiment.

For example, in the above embodiment, the processing performed by a specific processing unit may be executed by another processing unit. Also, the order of multiple processes may be changed, or multiple processes may be executed in parallel.

In the above embodiment, each component may be realized by executing a computer program suitable for each component. Each component may be realized by a program execution unit such as a CPU or processor reading and executing a software program recorded on a recording medium such as a hard disk or semiconductor memory.

Furthermore, each component may be realized by hardware. For example, each component may be a circuit (or an integrated circuit). These circuits may form a single circuit as a whole, or each may be a separate circuit. Furthermore, each of these circuits may be a general-purpose circuit, or a dedicated circuit.

In addition, the general or specific aspects of the present invention may be realized as a system, an apparatus, a method, an integrated circuit, a computer program, or a recording medium such as a computer-readable CD-ROM. In addition, the general or specific aspects of the present invention may be realized as any combination of a system, an apparatus, a method, an integrated circuit, a computer program, and a recording medium.

For example, the present invention may be realized as a program for causing a computer to execute the stimulus output method of the above embodiment. The present invention may be realized as a computer-readable non-transitory recording medium on which such a program is recorded. Note that such a program includes an application program for causing a general-purpose controller or mobile terminal to operate as a controller or mobile terminal in the central air conditioning system according to the above embodiment.

In addition, the present invention also includes forms obtained by applying various modifications to each embodiment that a person skilled in the art may conceive, or forms realized by arbitrarily combining the components and functions of each embodiment within the scope of the spirit of the present invention.

REFERENCE SIGNS LIST 1 Stimulus output system 10 Control device 20 Sensor 30 Output device 31 Lighting equipment 32 Air conditioner 33 Sound device 40 External environment sensor 41 Illuminance meter 42 Thermometer 43 Hygrometer 50 Mobile terminal

Claims (23)

A sensor that detects biometric information of a user;
An output device for providing a sensory stimulus to the user;
A control device for controlling the output device,
the control device accumulates the bioinformation detected by the sensor, calculates a regression line obtained by performing a regression analysis on the accumulated plurality of pieces of bioinformation as basic data, determines a degree of deviation between the target bioinformation and the regression line based on a result of comparing the target bioinformation with the regression line, and causes the output device to give the sensory stimulation to the user according to the degree of deviation.
Stimulus output system. The control device analyzes the biological information using a machine learning model in which the data of the user during sleep is a target variable and the data of the user before sleep and the data of the user after sleep are explanatory variables, and calculates the basic data.
The stimulation output system according to claim 1 . the control device analyzes the biological information using any one of linear regression analysis, logistic regression analysis, and decision tree analysis, and calculates the basic data;
3. A stimulation output system according to claim 1 or 2. The output device is a lighting fixture.
The stimulation output system according to any one of claims 1 to 3. A sensor that detects biometric information of a user;
An output device that is a lighting device that provides a sensory stimulus to the user;
A control device for controlling the output device,
the control device accumulates the bioinformation detected by the sensor, calculates a regression line obtained by performing a regression analysis on the accumulated plurality of pieces of bioinformation as basic data, and based on a result of comparing the target bioinformation with the regression line, causes the output device to give the sensory stimulus to the user, and increases the illuminance of the output device when the target bioinformation deviates from the regression line by a predetermined value or more;
Stimulus output system. the control device does not change the illuminance of the output device when the target biological information and the regression line do not deviate by a predetermined value or more.
The stimulation output system according to claim 5 . The output device is an air conditioning device.
The stimulation output system according to any one of claims 1 to 3. The output device is an audio device.
The stimulation output system according to any one of claims 1 to 3. The output device is a lighting device, an air conditioner, and/or an audio device.
The stimulation output system according to any one of claims 1 to 3. The sensor detects the biometric information of the user in a state of contact with the user at a position below the user's shoulders when the user is in an upright position.
A stimulation output system according to any one of claims 1 to 9. The sensor detects the biological information of the user in a state separated from the user.
A stimulation output system according to any one of claims 1 to 9. The biological information includes at least one of information regarding a brain wave, a heart rate, a movement of the user during sleep, sweat, and breathing.
A stimulation output system according to any one of claims 1 to 11. The cycle for acquiring the biological information is 24 hours.
A stimulation output system according to any one of claims 1 to 12. Further, an external environment sensor is provided for acquiring external environment data, which is data related to the external environment,
The control device analyzes the external environment data acquired by the external environment sensor.
A stimulation output system according to any one of claims 1 to 13. The external environment data includes at least one of an amount of light, a temperature, and a humidity.
The stimulation output system according to claim 14. In addition, a mobile terminal is provided.
When the sensor is activated while the mobile terminal is operating, the mobile terminal and the sensor are synchronized, and while the mobile terminal and the sensor are operating, the mobile terminal automatically acquires the biometric information from the sensor at regular intervals or acquires the biometric information by manual input by a user.
A stimulation output system according to any one of claims 1 to 15. The sensor will not synchronize with the mobile device if it is not operational.
The stimulation output system of claim 16. The control device wirelessly acquires an algorithm for controlling the output device from an external device and updates the algorithm.
A stimulation output system according to any one of claims 1 to 17. The control device calculates a circadian rhythm indicating a sleep cycle of the user based on the biological information of the user detected by the sensor;
The calculated circadian rhythm of the user and AI (Artificial Intelligence)
and notifying the user of the advice about the user's sleep, the advice being generated using the Sleep Intelligence.
A stimulation output system according to any one of claims 1 to 18. A sensor that detects biometric information of a user;
An output device that is a lighting device that provides a sensory stimulus to the user;
A control device for controlling the output device,
The control device accumulates the bioinformation detected by the sensor, calculates a regression line obtained by performing a regression analysis on the accumulated bioinformation as basic data, and based on the result of comparing the target bioinformation with the regression line, causes the output device to give the sensory stimulus to the user, calculates and visualizes the lux-h achievement level, which is the achievement level of the amount of light exposure on a target day against the target value of the amount of light exposure for one day.
Stimulus output system. The control device visualizes the lux-h achievement level and a sleep score representing the user's sleep quality calculated from the user's heart rate.
The stimulation output system of claim 20. The control device causes the output device, which is a lighting device, to output light to the user that compensates for the difference between the target value of the daily light exposure amount and the lux-h achievement degree.
22. A stimulation output system as claimed in claim 20 or 21. A stimulation output method executed by a control device, comprising:
A step of accumulating biometric information of a user detected by a sensor, and calculating a regression line obtained by performing a regression analysis on the accumulated biometric information as basic data;
determining a degree of deviation between the target biometric information and the regression line based on a result of comparing the target biometric information with the regression line;
and causing an output device to provide a sensory stimulus to the user in response to the degree of the deviation.
Stimulus output method.

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