Information processing device, information processing method, and recording medium

Abstract

To provide an information processing device capable of outputting advice at an appropriate timing according to the state of a living body of an object person.SOLUTION: An information processing device includes an acquisition part for acquiring biological information on an object person, a determination part for determining the state of the object person from the biological information, a generation part for generating advice according to the state of the object person, and an output part for outputting the generated advice. The output part makes the timings for outputting advice different according to the biological information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, and a recording medium. [Background technology]

[0002] The information processing device described in Patent Document 1 determines whether a player is not exercising based on information about the player's body movements and information about the movement of equipment, and provides advice if the player is not exercising (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2016-198352 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the conventional technology, the biological information of the subject is not acquired, and the timing of outputting advice cannot be changed according to the biological information, for example, the timing of outputting advice cannot be changed according to the exercise state based on the biological information. For this reason, in the conventional technology, for example, advice may be output at a timing that does not match the biological state of the subject. [Means for solving the problem]

[0005] In order to solve the above problem, one aspect is an information processing device that includes an acquisition unit that acquires biometric information of a subject, a determination unit that determines the condition of the subject from the biometric information, a generation unit that generates advice according to the condition of the subject, and an output unit that outputs the generated advice, wherein the output unit varies the timing at which the advice is output depending on the biometric information.

[0006] In order to solve the above problem, one aspect is an information processing method in which an acquisition unit acquires biometric information of a subject, a determination unit determines the condition of the subject from the biometric information, a generation unit generates advice according to the condition of the subject, and an output unit outputs the generated advice, and in this case, the timing of outputting the advice is varied depending on the biometric information.

[0007] One aspect of the present invention for solving the above problem is a recording medium for recording a program, which causes a computer to perform an acquisition function for acquiring biometric information of a subject, a determination function for determining the subject's condition from the biometric information, a generation function for generating advice according to the subject's condition, and an output function for outputting the generated advice, in which the timing of outputting the advice is varied depending on the biometric information. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram illustrating a schematic configuration example of an information processing apparatus according to an embodiment. [Figure 2] FIG. 10 is a diagram illustrating an example of classification of biometric information according to the embodiment. [Figure 3] FIG. 3 is a diagram showing a first table illustrating an example of the contents of heart rate zones according to the embodiment. [Figure 4] FIG. 2 is a diagram showing an example of a flow of processing performed by the information processing apparatus according to the embodiment. [Figure 5] FIG. 10 is a diagram showing a second table illustrating an example of patterns of the relationship between timing states and advice contents according to the embodiment. [Figure 6] FIG. 10 is a diagram showing a third table illustrating an example of trends in biometric information that is the basis for inferring each pattern according to the embodiment. [Figure 7] FIG. 4 is a diagram showing an example of a graph showing a tendency of a first pattern according to the embodiment. [Figure 8] FIG. 10 is a diagram showing an example of a graph showing a tendency of a second pattern according to the embodiment. [Figure 9]FIG. 10 is a diagram showing an example of a graph showing the tendency of a 3A pattern according to the embodiment. [Figure 10] FIG. 10 is a diagram showing an example of a graph showing the tendency of a 3B pattern according to the embodiment. [Figure 11] FIG. 10 is a diagram showing an example of a graph illustrating a tendency of a fourth pattern according to the embodiment. [Figure 12] FIG. 10 is a diagram showing an example of a graph illustrating a tendency of a fifth pattern according to the embodiment. [Figure 13] FIG. 10 is a diagram showing an example of a graph illustrating a tendency of a sixth pattern according to the embodiment. [Figure 14] FIG. 13 is a diagram showing an example of a graph illustrating the tendency of a seventh pattern according to the embodiment. [Figure 15] FIG. 10 is a diagram showing an example of a graph showing the tendency of an 8A pattern according to the embodiment. [Figure 16] FIG. 10 is a diagram showing an example of a graph showing the tendency of an 8B pattern according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, embodiments will be described with reference to the drawings.

[0010] An embodiment will be described. FIG. 1 is a diagram showing a schematic configuration example of an information processing device 1 according to an embodiment. The information processing device 1 includes an input unit 11, an output unit 12, a communication unit 13, a storage unit 14, a control unit 15, and a sensor unit 21. The output unit 12 includes a display unit 51 . The control unit 15 includes an acquisition unit 111 , a determination unit 112 , a generation unit 113 , and a timing determination unit 114 . The acquisition unit 111 includes a biological information acquisition unit B1, a body movement information acquisition unit B2, a behavior information acquisition unit B3, a location / movement information acquisition unit B4, a voice information acquisition unit B5, and a time information acquisition unit B6.

[0011] The sensor unit 21 includes a PPG (Photoplethysmography) sensor C1, a temperature sensor C2, a motion sensor C3, a GPS (Global Positioning System) sensor C4, and a sound sensor C5. Instead of GPS, other methods such as GNSS (Global Navigation Satellite System) may be used.

[0012] Also shown in FIG. 1 is a human subject 211. In this embodiment, the subject 211 is a person who exercises. In this embodiment, for example, the information processing device 1 is a wristwatch-type device that is attached to the arm of the subject 211 when used, but is not limited to this, and for example, the information processing device 1 may be a device that is attached to the upper arm or a device that is attached to the foot. The information processing device 1 is not particularly limited, and may be, for example, a smartphone, a tablet terminal, or another computer.

[0013] The input unit 11 performs, for example, a process of inputting information in response to a user's operation and a process of inputting information from another device.

[0014] The output unit 12 performs processing to output information to another device, for example. For example, the display unit 51 has a screen for displaying and outputting information, and displays the information to be displayed on the screen. The output unit 12 may, for example, output information to an external display device to display the information on the screen of the display device, or may output information to an external printing device to print the information using the printing device. Furthermore, the output unit 12 may output information by means of sound or light other than display, for example, by the information processing device 1 or via an external device.

[0015] The communication unit 13 communicates with other devices. In this embodiment, the communication unit 13 is shown separately from the input unit 11 and the output unit 12, but the functions of the communication unit 13 may be included in the functions of the input unit 11 and the output unit 12, for example.

[0016] The storage unit 14 stores information. In this embodiment, the storage unit 14 has an advice content storage unit A1 that stores information about advice including advice content. In this embodiment, for the sake of convenience, the storage unit 14 is described as including an advice content storage unit A1, but the function of the advice content storage unit A1 does not necessarily have to be clearly separated in the storage unit 14. In this embodiment, the memory unit 14 may store various information used in processing by the information processing device 1, for example, information detected by the sensor unit 21, information acquired by the acquisition unit 111, and other information.

[0017] The control unit 15 performs various processes and controls. In this embodiment, the information processing device 1 is configured using a computer. The control unit 15 has a processor such as a CPU (Central Processing Unit), and performs various processes and controls by executing predetermined programs using the processor. The program may be stored in the storage unit 14, for example.

[0018] The acquisition unit 111 acquires various types of information. In this embodiment, the acquisition unit 111 acquires one or more of biological information, body movement information, behavior information, location / movement information, voice information, time information, and the like.

[0019] In this embodiment, for the sake of convenience, the acquisition unit 111 is described as including a biometric information acquisition unit B1 that acquires biometric information, which is information about the living body of the subject 211, a body movement information acquisition unit B2 that acquires body movement information, which is information about the movements of the subject 211, a behavioral information acquisition unit B3 that acquires behavioral information of the subject 211, a location / movement information acquisition unit B4 that acquires location / movement information of the subject 211, an audio information acquisition unit B5 that acquires audio information, and a time information acquisition unit B6 that acquires time information; however, the functions of each of these information acquisition units do not necessarily have to be clearly separated in the acquisition unit 111.

[0020] Furthermore, the acquiring unit 111 may acquire further information based on the acquired one or more pieces of information. The further information may be, for example, information on the exercise intensity of the subject 211, the amount of exercise of the subject 211, or the like. In this embodiment, the exercise intensity of the subject 211, the amount of exercise of the subject 211, or a combination of these may be used as an index for determining the timing to output advice. Note that the timing to output advice may be determined using, for example, this index and further other indexes. The advice output timing may also be called advice presentation timing, advice notification timing, or advice notification timing.

[0021] Here, the behavior information acquisition unit B3 may acquire information on the subject person's 211 daily behavior history, for example. Furthermore, the location / movement information acquisition unit B4 may acquire information on the location of the target person 211 and information on the target person 211's movement history. Furthermore, the voice information acquisition unit B5 may acquire voice information around the subject 211, for example.

[0022] The determination unit 112 determines the state of the subject 211 based on the biological information acquired by the acquisition unit 111 . The generation unit 113 generates advice according to the state of the subject person 211. In this embodiment, information on the advice is stored and held in the advice content storage unit A1. Note that the information on the advice includes information representing the content of the advice. The timing determination unit 114 determines the timing to output advice based on a predetermined judgment index. In this embodiment, the judgment index includes, for example, at least one of biometric information of the subject 211 and other information obtained from the biometric information.

[0023] In this embodiment, the output unit 12 outputs the advice at the timing determined by the timing determination unit 114. In this embodiment, the output unit 12 outputs advice including advice content stored in the advice content storage unit A1, for example. Therefore, the output unit 12 can vary the timing of outputting advice depending on the biological information of the subject 211.

[0024] The PPG sensor C1 detects information such as pulse information and SpO2 information of the subject 211. The temperature sensor C2 detects information about the body temperature of the subject 211. The movement sensor C3 detects information about the movement of the subject person 211. In this embodiment, the information about the movement of the subject person 211 is used as information about the behavior of the subject person 211. The GPS sensor C4 detects the location information of the target person 211 using a GPS. The sound sensor C5 detects sound information, which in this embodiment includes voice.

[0025] Here, the sensor unit 21 includes at least one sensor capable of acquiring biometric information of the subject 211. In other respects, the type or number of sensors included in the sensor unit 21 is not particularly limited, and various configurations may be used. Furthermore, in this embodiment, for the sake of convenience of explanation, a configuration example in which all sensors are provided in the sensor unit 21 is shown, but this is not limiting, and for example, each sensor may be provided independently. The sensor may also be called a detection unit.

[0026] The biological information acquisition unit B1 acquires biological information based on at least one of information on the detection result by the PPG sensor C1 and information on the detection result by the temperature sensor C2. The body movement information acquisition unit B2 acquires body movement information based on the information of the detection result by the movement sensor C3. The behavior information acquisition unit B3 acquires behavior information based on at least one of information on the detection result by the motion sensor C3 and information on the detection result by the GPS sensor C4. The location / movement information acquisition unit B4 acquires location information or movement information based on the information of the detection result by the GPS sensor C4. The audio information acquisition unit B5 acquires audio information based on the information of the detection result by the sound sensor C5. The time information acquisition unit B6 acquires the time information, for example, from information on the detection result by the GPS sensor C4 or a timekeeping function provided inside the information processing device 1. Note that the time information acquisition unit B6 may acquire the time information based on time signal information provided by an external device, for example. Here, the time information may include, for example, information on the time of day, or information on the length of time.

[0027] As a specific example, the PPG sensor C1 detects, through measurement, sensor information that is the basis for calculating pulse information, SpO2 information, sleep information, respiration information, and the like. As a specific example, the temperature sensor C2 detects sensor information from which body temperature information is calculated by measurement. As a specific example, the biological information acquisition unit B1 of the acquisition unit 111 calculates pulse information, SpO2 information, sleep information, respiration information, body temperature information, and the like.

[0028] For example, when the subject 211 is not moving, it is possible to determine the timing to output advice using the body movement information acquisition unit B2 and the timing determination unit 114. When the subject 211 is not moving, it is assumed that the subject 211 is resting. For example, the behavioral information acquisition unit B3 and the timing determination unit 114 can store the time when the subject 211 usually exercises, and determine the timing to output advice slightly before the subject 211 exercises. For example, the location and movement information acquisition unit B4 and timing determination unit 114 can estimate the start of exercise from the location of the subject person 211 and determine the output of advice at the estimated timing.

[0029] For example, the voice information acquisition unit B5 and the timing determination unit 114 can determine the timing for outputting advice when the target person 211 is not talking with other people. For example, when the target person 211 is making a positive statement, the voice information acquisition unit B5 and the timing determination unit 114 can determine the timing to output advice.

[0030] For example, if a specified biological state continues for a certain period of time, the time information acquisition unit B6 and the timing determination unit 114 can determine the timing for outputting advice. For example, the time information acquisition unit B6 and the timing determination unit 114 can determine when to output advice at a timing when a specified time has elapsed since a specified biological condition was detected. For example, the time information acquisition unit B6 and timing determination unit 114 can measure the time elapsed for notification after going to sleep and waking up, and output advice when a specified time has elapsed. Instead of going to bed, it may be called going to bed.

[0031] Here, in this embodiment, for convenience of explanation, an all-in-one information processing device 1 is shown, but for example, the functions of the information processing device 1 shown in Fig. 1 may be distributed among a plurality of devices, that is, the information processing device 1 shown in Fig. 1 may be composed of two or more devices. When the information processing device 1 is composed of two or more devices, for example, these two or more devices communicate with each other by wire or wirelessly as necessary. As an example, a device having the functions of the sensor unit 21 shown in FIG. Furthermore, in this embodiment, the information processing device 1 is shown attached to the arm of the subject 211, but as another example, the information processing device 1 may have, for example, another form and may be configured to be attached to one or more locations other than the arm of the subject 211. Furthermore, the information processing device 1 may be provided with and utilize, for example, an AI (Artificial Intelligence) function.

[0032] FIG. 2 is a diagram illustrating an example of classification of biometric information according to the embodiment. In the example of FIG. 2, the biological information includes information such as pulse, SpO2 which is percutaneous arterial oxygen saturation, and body temperature. From the pulse information, information such as pulse rate, HRV (Heart Rate Variability), and respiration can be obtained. From the pulse information, information such as pulse rate, heart rate zone, recovery level, fatigue level, calories burned during exercise, and sleep can be obtained. The sleep information can provide information such as the duration of sleep and the quality of sleep. Information such as when to go to bed and when to wake up can be obtained from information about sleep time. Sleep quality information can provide information such as whether the sleep is light or deep. HRV information can provide information such as excitement / relaxation, wakefulness / drowsiness, and autonomic nervous system balance. Information such as oxygen intake status can be obtained from SpO2 information. The example in FIG. 2 is an example for explanation purposes, and is not limited to this example. Various types of biological information may be used, and various types of information related to a living body may be acquired by various methods.

[0033] FIG. 3 is a diagram showing a first table T1 showing an example of the contents of heart rate zones according to the embodiment. In the first table T1, the heart rate zones are stored in association with levels and names. Level 1 is the easy zone, level 2 is the fat burning zone, level 3 is the aerobic zone, level 4 is the anaerobic zone, and level 5 is the maximum zone.

[0034] FIG. 4 is a diagram showing an example of the flow of processing performed by the information processing device 1 according to the embodiment. The example in FIG. 4 shows an outline of the process from acquiring sensor information to determining and specifying the advice timing. The example in FIG. 4 is merely an example, and the present invention is not limited to this example, and various processing flows may be used.

[0035] In process Q1, the sensor unit 21 acquires sensor information and sends the sensor information to the acquisition unit 111. In process Q2, the acquisition unit 111 analyzes the biological information based on the sensor information and acquires predetermined information. Here, the predetermined information is, for example, information that can be used to notify advice from among the various types of information shown in FIG. 2. In process Q3, the timing determination unit 114 sends a biometric information acquisition request to the acquisition unit 111. In process Q4, the acquisition unit 111 sends the requested biometric information to the timing determination unit 114 in response to the biometric information acquisition request.

[0036] In process Q5, the timing determination unit 114 checks the biometric information received from the acquisition unit 111. In process Q6, the timing determination unit 114 determines the timing of advice based on the check result of the biological information, and sends the timing to the output unit 12 for designation.

[0037] Furthermore, the following processes Q11 and Q12 may be performed at timings independent of the above processes, or may be performed at timings linked to the above processes. In process Q11, the output unit 12 sends an advice content acquisition request to the advice content storage unit A1. In process Q12, in response to the advice content acquisition request, the output unit 12 acquires the advice content requested in the advice content acquisition request from the advice content storage unit A1. As a result, the output unit 12 outputs the advice of the acquired advice content at the specified timing.

[0038] FIG. 5 is a diagram showing a second table T2 showing examples of patterns of the relationship between timing states and advice contents according to the embodiment. In this embodiment, first to eighth patterns are shown as examples. In the second table T2, the pattern number, the state of the target person 211, and the advice content to be output are stored in association with each other. Here, the state of the subject 211 is a state that can be estimated from the biological information of the subject 211, and in this example, represents a state that has been determined as the timing for outputting advice. The advice content includes information about the type of advice and specific example sentences. The example in FIG. 5 is merely an example, and the present invention is not limited to this, and various other aspects may be used.

[0039] FIG. 6 is a diagram showing a third table T3 showing an example of the tendency of biometric information that is the basis for inferring each pattern according to the embodiment. In the third table T3, the biometric information of the subject 211, the pattern number, and the tendency of the biometric information that is the basis for estimation are stored in association with each other. The example in FIG. 6 is merely an example, and the present invention is not limited to this, and various other aspects may be used.

[0040] Here, for example, the state shown in the second table T2 may be inferred based on the tendency of the biological information that is the basis for the inference and that is shown in the third table T3. In addition, when the same pattern number exists in two or more places in the third table T3, the tendency of any one place may be used, or the tendency of any two or more places may be combined and used.

[0041] FIG. 7 is a diagram showing an example of a graph illustrating the tendency of the first pattern according to the embodiment. In the graph, the horizontal axis represents time, and the vertical axis represents pulse rate [bpm]. The graph shows a first characteristic P1 that indicates the relationship between time and pulse rate. The first characteristic P1 indicates the tendency of pulse rate change over time. The graph also shows a first value V1, which is a pulse value, a second value V2, which is another pulse value, and a third value V3, which is yet another pulse value. The second value V2 is greater than the first value V1 and the third value V3. The third value V3 is greater than the first value V1. In this example, a state in which the pulse rate is equal to or greater than the first value V1 and less than the second value V2 is considered to be a warm-up state, and a state in which the pulse rate is equal to or greater than the second value V2 is considered to be a workout state.

[0042] In the first pattern, the advice is output after the target person 211 has warmed up and before the workout. In the example of Figure 7, for the first characteristic P1, a first time t1 is shown when the pulse rate of the subject 211 increases to reach a third value V3, then decreases to reach a first value V1, and a second time t2 is shown when a specified first time r1 has elapsed from the first time t1.

[0043] In this embodiment, the warm-up state is, for example, a state in which the body is moving and the heart rate zone is at level 1. In the warm-up state, for example, the subject 211 performs a warm-up exercise.

[0044] In this example, the second time t2 is used as the timing to output the advice. The advice to be notified may be, for example, information on what the user should be aware of during the next workout. In this example, the information processing device 1 uses the pulse as an input, and uses as a determination criterion that the pulse estimated to be warming up continues for a while. The timing before the workout may be, for example, the timing immediately before the workout, or may be some other timing.

[0045] Here, the example in Figure 7 shows a case where exercise intensity is used as an indicator, but as another example, a mode in which exercise amount is used as an indicator instead of exercise intensity may be used, or a mode in which a combination of exercise intensity and exercise amount is used as an indicator may be used. In addition, in this example, the first time r1 is a value greater than 0, but as another example, a mode in which the first time r1 is 0 may be used.

[0046] FIG. 8 is a diagram showing an example of a graph showing the tendency of the second pattern according to the embodiment. In the graph, the horizontal axis represents time, and the vertical axis represents the cumulative value of calories burned during exercise [kcal]. The graph shows a second characteristic P2 that indicates the relationship between time and the cumulative total of calories burned during exercise. The graph also shows a 21st value V21, which is the target value for the cumulative calorie expenditure during exercise, and a 22nd value V22, which is a smaller value that serves as a threshold. The 22nd value V22 corresponds to V21 × W21, which is the result of multiplying the 21st value V21 by the 21st percentage value W21, which is a specified percentage. Here, the 21st ratio value W21 is a value greater than 0 and less than 1.

[0047] In the second pattern, the timing for outputting the advice is during the workout of the subject 211, at the timing when the exercise intensity changes from high to low activity. Here, high-intensity activity is performed, for example, within a predetermined time period. In the example of FIG. 8, the second characteristic P2 shows the twenty-first time t21 when the cumulative value of the calories burned during exercise of the subject 211 increases and reaches the twenty-second value V22.

[0048] In this example, the 21st time t21 is used as the timing to output the advice. The advice to be notified may be, for example, advice to change the content of the workout. In this example, the information processing device 1 uses the calories burned during exercise as an input, and uses as a determination criterion that the cumulative value of the calories burned during exercise has reached a specified percentage of the target calories. When calculating the cumulative value of calories burned during exercise, for example, the cumulative value is reset to zero every time the subject 211 stops exercising. The specified ratio is not particularly limited, and may be, for example, 0.8.

[0049] FIG. 9 is a diagram showing an example of a graph showing the tendency of the 3A pattern according to the embodiment. Pattern 3A is an example of the third pattern. In the graph, the horizontal axis represents time, and the vertical axis represents heart rate zones. The graph shows a third A characteristic P3A that indicates the relationship between time and heart rate zone. The graph also shows a 31st value V31, a 32nd value V32, a 33rd value V33, and a 34th value V34, which are values ​​that represent heart rate zones. In this example, the 31st value V31 corresponds to the easy zone, the 32nd value V32 corresponds to the fat burning zone, the 33rd value V33 corresponds to the aerobic zone, and the 34th value V34 corresponds to the anaerobic zone.

[0050] In the 3A pattern, the advice output timing is a timing after the workout of the subject 211 and after the subject 211 has had a rest. This timing is, for example, a timing when the subject 211 has had a sufficient rest. In the example of FIG. 9, for the 3A characteristic P3A, the 31A time t31A when the heart rate zone of the subject 211 decreases from the anaerobic zone and reaches the easy zone is shown.

[0051] In this example, the 31Ath time t31A is used as the timing to output the advice. The advice to be notified may be, for example, a review of the previous workout. In this example, the information processing device 1 uses the heart rate zone as an input, and uses as a determination criterion that the level of the heart rate zone has decreased and reached the easy zone.

[0052] In the 3A pattern, the advice output timing is set to the 31A time t31A, but as another example, the advice output timing may be set to the time when a predetermined time has elapsed since the 31A time t31A. In this case, for example, the predetermined time may be variably set depending on the value of the heart rate zone before the time t31A, and the value may be, for example, the maximum value.

[0053] FIG. 10 is a diagram showing an example of a graph showing the tendency of the 3B pattern according to the embodiment. Pattern 3B is another example of pattern 3. In the graph, the horizontal axis represents time, and the vertical axis represents the SpO2 value [%]. The graph shows a third B characteristic P3B that indicates the relationship between time and SpO2. The graph also shows a 35th value V35, which is a predetermined value and threshold value for SpO2. The predetermined value is 95 as an example, but is not limited to this.

[0054] In the 3B pattern, the advice output timing is a timing after the workout of the subject 211 and after the subject 211 has had a rest. This timing is, for example, a timing when the subject 211 has had a sufficient rest. In the example of FIG. 10, the 31B time t31B when the SpO2 value of the subject 211 increases and reaches the 35th value V35 is shown for the 3B characteristic P3B.

[0055] In this example, the 31Bth time t31B is used as the timing to output the advice. The advice to be notified may be, for example, a review of the previous workout. In this example, the information processing device 1 uses SpO2 as an input and uses a criterion that the advice is notified when the SpO2 value is within the normal range, for example, 95 to 100%. In this example, it is taken into consideration that blood oxygen may become deficient during exercise.

[0056] In the 3B pattern, the advice output timing is set to the 31B time t31B, but as another example, the advice output timing may be set to the time when a predetermined time has elapsed since the 31B time t31B. In this case, for example, the predetermined time may be variably set depending on the SpO2 value before the time t31B, and the value may be, for example, the minimum value.

[0057] FIG. 11 is a diagram showing an example of a graph showing the tendency of the fourth pattern according to the embodiment. In the graph, the horizontal axis represents time, and the vertical axis represents body temperature [°C]. The graph shows a fourth characteristic P4 that indicates the relationship between time and body temperature. The graph also shows a 41st value V41, which is a predetermined value and threshold value for the body temperature. The predetermined value is 38, for example, but is not limited to this. In this example, the predetermined value corresponds to the upper limit of the normal range of body temperature.

[0058] In the fourth pattern, the timing for outputting the advice is the timing when an abnormality in the biological condition of the subject 211 is detected. In the example of FIG. 11, with regard to the fourth characteristic P4, the body temperature of the subject 211 rises rapidly, reaches the 41st value V41, and exceeds the upper limit of the normal range at the 41B time t41.

[0059] In this example, the 41st time t41 is used as the timing to output the advice. The advice to be notified may be, for example, advice to take care of one's body. In this example, the information processing device 1 uses body temperature as an input, and uses as a determination criterion that the body temperature has risen sharply and fallen outside the normal range.

[0060] FIG. 12 is a diagram showing an example of a graph showing the tendency of the fifth pattern according to the embodiment. In the graph, the horizontal axis represents time, and the vertical axis represents HRV value [bpm]. The graph shows a fifth characteristic P5 that indicates the relationship between time and HRV [bpm]. The graph also shows a 51st predetermined value V51 of HRV and a 52nd predetermined value V52 of HRV, which is greater than the 51st predetermined value V51.

[0061] In the fifth pattern, the timing for outputting the advice is the timing when the subject 211 returns from the mindfulness state to the normal state. In the example of Figure 12, with respect to the fifth characteristic P5, the 51st time t51 is shown when the HRV of the subject 211 rises and reaches the 52nd value V52, and then falls and reaches the 51st value V51.

[0062] In this example, the 51st time t51 is used as the timing to output the advice. The advice to be notified may be, for example, advice to encourage mindfulness activities. In this example, the information processing device 1 uses HRV as an input, and uses as a determination criterion that the state has transitioned from a relaxed state to a neutral state and then returned to the neutral state. Generally, mindfulness activities refer to adjusting one's state of mind through meditation, etc. This activity leads to a relaxed, sleepy state in which HRV is high, which is considered to be a mindful state.

[0063] FIG. 13 is a diagram showing an example of a graph illustrating the tendency of the sixth pattern according to the embodiment. In the graph, the horizontal axis represents time, and the vertical axis represents the sleep determination result. The graph shows a sixth characteristic P6 that indicates the relationship between time and the sleep determination result. The graph also shows the sleeping state and the awake state as sleep determination results. Here, the timing when the subject 211 changes from an awake state to a sleeping state corresponds to the timing when the subject 211 goes to sleep. Furthermore, the timing when the subject 211 changes from a sleeping state to an awake state corresponds to the timing when the subject 211 wakes up.

[0064] In the sixth pattern, the timing for outputting the advice is when the subject person 211 has woken up and is somewhat awake. 13, the sixth characteristic P6 is represented by a 62nd time t62, which is a time when a predetermined time r61 has elapsed since the 61st time t61 when the subject 211 changed from a sleeping state to an awake state. In other words, the 61st time r61 represents a predetermined time that has elapsed since the wake-up timing.

[0065] In this example, the 62nd time t62 is used as the timing to output the advice. The advice to be notified may be, for example, a suggestion of what the user should be aware of for the day. In this example, the information processing device 1 uses, as input, the wake-up timing and the quality of sleep immediately before waking up, and uses, as a determination criterion, that a predetermined time has elapsed since the wake-up timing. Here, the predetermined time is the 61st time r61 and may vary depending on, for example, the quality of sleep immediately before the subject 211 wakes up. As a specific example, a mode may be used in which the predetermined time is set to 10 minutes when the quality of sleep immediately before the subject 211 wakes up is REM sleep, and the predetermined time is set to 20 minutes when the quality of sleep immediately before the subject 211 wakes up is non-REM sleep. In this example, the information processing device 1 determines the quality of sleep when the subject person 211 is sleeping.

[0066] FIG. 14 is a diagram showing an example of a graph showing the tendency of the seventh pattern according to the embodiment. In the graph, the horizontal axis represents time, and the vertical axis represents the sleep determination result. The graph shows a seventh characteristic P7 that indicates the relationship between time and the sleep determination result. The graph also shows the sleeping state and the awake state as sleep determination results.

[0067] In the seventh pattern, the advice is outputted before the subject person 211 goes to bed or after the subject person 211 wakes up. In the example of Figure 14, with regard to the seventh characteristic P7, the 71st time t71 when the subject 211 changed from an awake state to an asleep state on the previous day, the 72nd time t72 which corresponds to the result of subtracting the 71st time r71 from the same time as the 71st time t71 on the current day, and the 73rd time t73 when the 72nd time r72 has passed since the subject 211 changed from an asleep state to an awake state on the following day are shown. Here, the 71st time r71 is a predetermined time, and may be, for example, 10 minutes. The 72nd time r72 is a predetermined time, which may be, for example, 10 minutes. Note that the "current day" shown in Figure 14 is the day before when viewed from the "next day." Also, the "next day" shown in Figure 14 is the day after when viewed from the "current day." Also, the "current day" shown in Figure 14 is the day after when viewed from the "previous day."

[0068] In this example, the information processing device 1 acquires the HRV and the like of the subject 211, and determines the timing of outputting advice based on the HRV and the like. For example, if the HRV is lower than a predetermined value, the information processing device 1 sets the 72nd time t72, which is earlier than the 71a time t71a of the current day, as the timing to output advice. Alternatively, the information processing device 1 sets the 73rd time t73, which is later than the 74a time t74a of the next day, as the timing to output advice. Here, the 71ath time t71a on the current day is, for example, the same time as the 71st time t71, which is the time when the person went to bed on the previous day. Furthermore, the 74ath time t74a on the next day is, for example, the same time as the 74th time t74, which is the time when the user woke up on that day. Note that the 71ath time t71a is an example of a first timing that takes into account only the time spent sleeping up to the previous day, and the 72nd time t72 is an example of a second timing that takes into account the first timing as well as one or both of the exercise and HRV of the day. In addition, the 74ath time t74a is an example of a first timing that takes into account only the wake-up time up to that day, and the 73rd time t73 is an example of a second timing that takes into account, for example, HRV and / or whether the amount of sleep for the exercise on that day is sufficient. Note that the manner in which the second timing is set in consideration of the HRV and the like at the first timing is not limited to this example, and various manners may be used.

[0069] In this way, in this example, the 72nd time t72 or the 73rd time t73 is used as the timing for outputting advice. The advice to be notified may be, for example, a review of the day's activities. In this example, the information processing device 1 uses the previous day's bedtime timing and the HRV before going to bed on that day as input, and stores the previous day's bedtime timing as a judgment criterion, and uses the state of the HRV a predetermined time before that bedtime on that day as a judgment criterion. The 73rd time t73 in the seventh pattern may be, for example, the same time as the 62nd time t62 in the sixth pattern. In this example, when the HRV of the subject 211 is low, the brain of the subject 211 is considered to be awake, and when the HRV of the subject 211 is high, the brain of the subject 211 is considered to be not awake.

[0070] FIG. 15 is a diagram showing an example of a graph showing the tendency of the 8A pattern according to the embodiment. The 8A pattern is an example of a pattern for determining the required sleep time in the 8th pattern. In the graph, the horizontal axis represents time, and the vertical axis represents pulse rate [bpm]. The graph shows an eighth A characteristic P8A that indicates the relationship between time and pulse rate. The graph also shows the 81A value V81A and the 82A value V82A, which are values ​​representing the pulse rate and serve as thresholds. Here, the 82Ath value V82A is greater than the 81Ath value V81A. As an example, the 81A value V81A is 120 [bpm], and the 82A value V82A is 140 [bpm].

[0071] In this example, the information processing device 1 sets the required sleep time based on whether the maximum heart rate intensity exceeds a set value. In this setting, for example, one of two or more predetermined times may be set as the required sleep time. As a specific example, the information processing device 1 sets the required sleep time to 7 hours if the maximum heart rate intensity of the subject 211 for a predetermined period is less than the 81A value V81A, sets the required sleep time to 8 hours if the maximum heart rate intensity exceeds the 81A value V81A but is less than the 82A value V82A, and sets the required sleep time to a predetermined time longer than 8 hours if the maximum heart rate intensity exceeds the 82A value V82A. The predetermined time may be, for example, 9 hours.

[0072] 15, for convenience of explanation, let us assume that the predetermined period is the period from 81A time t81A to 82A time t82A, and the 8A characteristic P8A exceeds the 81A value V81A but is less than the 82A value V82A, and the required sleep time is set to 8 hours. Here, in the example of FIG. 15, the length of the predetermined period is 81A time r81A. As another example, the information processing device 1 may calculate a predetermined arithmetic expression for calculating the required sleep time using the maximum heart rate intensity as a parameter, thereby determining and setting the required sleep time, which may change continuously.

[0073] In this example, the information processing device 1 uses the pulse as an input, and the determination criterion is the maximum value of the pulse. Generally, when there is no arrhythmia, the heart rate and pulse rate match, and the maximum heart rate intensity matches the maximum value of the pulse. As another example, instead of pulse rate, heart rate or the like may be used.

[0074] FIG. 16 is a diagram showing an example of a graph showing the tendency of the 8B pattern according to the embodiment. The 8B pattern is an example of a pattern representing the timing of outputting advice in the 8th pattern. In the graph, the horizontal axis represents time, and the vertical axis represents the sleep determination result. The graph shows an eighth B characteristic P8B that indicates the relationship between time and the sleep determination result. The graph also shows the sleeping state and the awake state as sleep determination results.

[0075] In the 8B pattern, the advice is output when a predetermined time corresponding to the sleeping hours of the object person 211 has elapsed since the object person 211 woke up. In the example of Figure 16, with respect to the 8B characteristic P8B, the sleeping time of the subject 211 is the 81B time r81B, and also the 81B time t81B when the 82B time r82B has elapsed since the subject 211 changed from a sleeping state to an awake state, and the 82B time t82B when the 83B time r83B has elapsed since the subject 211 changed from a sleeping state to an awake state are shown. Here, the 83Bth time r83B is greater than the 82Bth time r82B. In other words, the 82Bth time t82B is later than the 81Bth time t81B. The 83Bth time r83B and the 82Bth time r82B may be set arbitrarily. The 81Bth time r81B represents the sleeping time of the subject 211.

[0076] For example, the predetermined period before sleep in pattern 8B shown in Fig. 16 is the period of pattern 8A shown in Fig. 15. The predetermined period may be, for example, the time equivalent to one day. In this example, the information processing device 1 sets and uses the 81B time t81B as the timing to output advice when the 81B time r81B, which is the sleeping time of the subject 211, is equal to or greater than the predetermined threshold 85 time r85, and sets and uses the 82B time t82B as the timing to output advice when the 81B time r81B, which is the sleeping time of the subject 211, is less than the predetermined threshold 85 time r85. Here, the 85th time r85 is the required sleep time set based on the 8A pattern shown in Fig. 15, and is, for example, the sleep time considered sufficient to recover from fatigue caused by the exercise of a predetermined period before sleep. The predetermined period is, for example, one day. As a specific example, if the information processing device 1 determines that the subject 211's exercise intensity before sleep is high and that 8 hours of sleep is required, and the sleep time is 8 hours, the information processing device 1 will notify the subject 211 of the advice at time t81B, which is a predetermined time after the subject 211 wakes up; on the other hand, if the sleep time is less than 8 hours, the information processing device 1 will notify the subject 211 of the advice at time t82B, which is a time longer than the predetermined time after the subject 211 wakes up.

[0077] In this way, in this example, the 81Bth time t81B or the 82Bth time t82B is used as the timing for outputting advice. The advice to be notified may be, for example, advice regarding activities including exercise for the next day. In this example, the information processing device 1 uses the sleep time as an input, and uses as a determination criterion whether the sleep time is equal to or greater than the required sleep time.

[0078] Here, the example in Figure 15 shows a case where exercise intensity is used as an indicator, but as another example, a mode in which exercise amount is used as an indicator instead of exercise intensity may be used, or a mode in which a combination of exercise intensity and exercise amount is used as an indicator may be used. Furthermore, in the example of FIG. 16, the 82Bth time r82B that defines the 81Bth time t81B is a value greater than 0, but as another example, a mode in which the 82Bth time r82B is 0 may also be used.

[0079] Next, a specific example of the process performed by the information processing device 1 will be described. In the information processing device 1, the acquisition unit 111 acquires biometric information of the subject 211. The determination unit 112 determines the state of the subject 211 from the biometric information. The generation unit 113 generates advice according to the state of the subject 211. The output unit 12 outputs the generated advice. In this case, the output unit 12 varies the timing of outputting the advice depending on the biological information.

[0080] Therefore, the information processing device 1 can output advice at a timing according to the biological information of the subject 211. Here, the timing to output advice may be determined by referring to information other than biometric information, for example. The content of the advice is not particularly limited, and various content may be used. In the example of Figure 1, a configuration example is shown in which the timing determination unit 114 determines the timing to output advice, and the output unit 12 outputs the advice at that timing, but for example, the function of the timing determination unit 114 may be included in the output unit 12.

[0081] In the information processing device 1, the biological information is information including at least one of pulse, SpO2, and body temperature.

[0082] Therefore, the information processing device 1 can determine the exercise state of the subject 211 by acquiring information on any one of the pulse, SpO2, and body temperature of the subject 211, for example.

[0083] In the information processing device 1, the acquisition unit 111 acquires exercise intensity based on biological information. The determination unit 112 determines the state of the subject 211 as a first exercise state when the exercise intensity is equal to or greater than a first threshold and less than a second threshold. The generation unit 113 generates exercise advice based on the first exercise state. The output unit 12 outputs the exercise advice after a predetermined first time has elapsed since the subject 211 was determined to be in the first exercise state.

[0084] Therefore, the information processing device 1 can provide advice after the warm-up and before the workout. For example, when the subject 211 has warmed up, advice regarding the next workout can be generated and output, and advice on what the subject 211 should do next can be presented.

[0085] Here, in this example, for example, the first pattern shown in FIG. 7 may be applied. For example, exercise intensity is determined based on pulse rate or heart rate zone. The first exercise state is, for example, a warm-up state. In the example of FIG. 7, the first value V1 is an example of a first threshold value, and the second value V2 is an example of a second threshold value. 7, the first time r1 is an example of the first time, which is a value greater than 0.

[0086] In the information processing device 1, the predetermined first time period in the case of a first exercise intensity in which the maximum value of the exercise intensity is close to the first threshold is shorter than the predetermined first time period in the case of a second exercise intensity in which the maximum value of the exercise intensity is close to the second threshold.

[0087] Therefore, the information processing device 1 can change the timing of outputting advice depending on the exercise intensity, and can present advice at appropriate timing. For example, the smaller the maximum value of exercise intensity, the shorter the rest time after warming up and before advice, and the larger the maximum value of exercise intensity, the longer the rest time after warming up and before advice. Here, in this example, for example, the first pattern shown in FIG. 7 may be applied. In the example of FIG. 7, the third value V3 is an example of the maximum value of exercise intensity. In this embodiment, the timing determination unit 114 changes the first time period depending on the maximum value of the exercise intensity.

[0088] In the information processing device 1, the determination unit 112 determines that the state of the subject 211 is a second exercise state when the exercise intensity is equal to or greater than a second threshold. The generation unit 113 generates advice regarding an activity including exercise based on the second exercise state of the subject 211. The output unit 12 outputs the advice regarding the activity at a second timing that is earlier or later than the first timing, depending on the first exercise state and the second exercise state.

[0089] Therefore, the information processing device 1 can vary the timing of advice regarding daily activities depending on the load on the subject 211 during exercise, and can present advice regarding daily activities depending on the load on the subject 211, for example. The load condition during exercise may be, for example, a load condition in a first exercise state and a load condition in a second exercise state. The load condition may be determined based on, for example, time or intensity. Here, in this example, for example, the seventh pattern shown in FIG. 14 may be applied. The second exercise state is, for example, a workout state. In the example of FIG. 14, the sleep state of the subject 211 on that day is a value corresponding to the first exercise state and the second exercise state, that is, a value corresponding to the combined state of the warm-up and workout. The activity is not particularly limited, and may include various activities performed by the subject 211, such as exercise, sleep, and eating.

[0090] In the information processing device 1, the advice regarding activity includes advice to encourage the subject 211 to get good sleep.

[0091] Therefore, in the information processing device 1, advice regarding activity may include advice regarding sleep, and for example, advice regarding sleep can be presented according to the load of the subject person 211. Here, in this example, for example, the seventh pattern shown in FIG. 14 may be applied.

[0092] In the information processing device 1, the detection unit detects the movement of the subject 211. The storage unit 14 stores information related to the sleep of the subject 211. The acquisition unit 111 acquires the bedtime or wake-up time of the subject 211 based on the movement and biological information of the subject 211. The storage unit 14 stores the bedtime or wake-up time of the subject 211 up to the previous day. The second timing is a timing according to the bedtime or wake-up time of the subject 211 up to the previous day.

[0093] Therefore, in the information processing device 1, the second timing is a timing based on the subject person 211's usual bedtime or wake-up time, and, for example, advice can be output earlier than the subject person 211's usual bedtime, or later than the subject person 211's usual wake-up time. In this embodiment, the motion sensor C3 is an example of a detection unit that detects the motion of the target person 211. Furthermore, the bedtime or wake-up time of the subject 211 up to the previous day may be, for example, the bedtime or wake-up time on the previous day or another day, or the average value of the bedtime or wake-up times on multiple days up to the previous day may be used. Here, in this example, for example, the seventh pattern shown in FIG. 14 may be applied.

[0094] In the information processing device 1, the detection unit detects the movement of the subject 211. The memory unit 14 stores information related to the sleep of the subject 211. The determination unit 112 determines the state of the subject 211 as a second exercise state when the exercise intensity is equal to or greater than a second threshold. The generation unit 113 generates advice regarding activities including exercise for the next day based on the first exercise state and the second exercise state. The acquisition unit 111 acquires the wake-up time and sleep time of the subject 211 based on the movement and biological information of the subject 211. The determination unit 112 determines whether the sleep time is sufficient for the daily exercise intensity including the exercise intensities in the first exercise state and the second exercise state. If it is determined that the sleep time is insufficient, the output unit 12 outputs advice regarding activities including exercise for the next day at a fourth timing that is later than the third timing at which it was determined that the sleep time was sufficient.

[0095] Therefore, the information processing device 1 can change the timing of outputting advice when waking up depending on the exercise intensity and sleep time, and for example, can delay the timing of outputting advice when the sleep time is insufficient compared to the exercise intensity. Here, in this example, for example, the eighth pattern shown in FIGS. 15 and 16 may be applied. In the example of FIG. 15, the required sleep time is calculated for the exercise intensity of one day, including the exercise intensity in the warm-up and workout states one day before the next day. In the example of FIG. 16, on the following day, the 81Bth time t81B is an example of the third timing, and the 82Bth time t82B is an example of the fourth timing.

[0096] In the information processing device 1, the determination unit 112 determines that the state of the subject 211 is a second exercise state when the exercise intensity is equal to or greater than a second threshold. The generation unit 113 generates advice encouraging a different exercise based on the second exercise state of the subject 211. The output unit 12 outputs the advice encouraging a different exercise when the exercise intensity of the second exercise state satisfies a predetermined intensity.

[0097] Therefore, the information processing device 1 can provide advice to change exercise at an appropriate timing according to the exercise state of the subject 211, for example, advice to reduce exercise intensity when a predetermined exercise intensity is reached during a workout. In this example, for example, a pattern using exercise intensity instead of calories burned during exercise in the second pattern shown in FIG. 8 may be applied.

[0098] In the information processing device 1, the generation unit 113 generates advice regarding exercise review based on the first exercise state and the second exercise state. When it is determined that the exercise intensity has changed from equal to or greater than the second threshold to less than the first threshold, the output unit 12 outputs the advice regarding exercise review after a predetermined second time has elapsed.

[0099] Therefore, the information processing device 1 can present advice regarding the entire exercise at an appropriate timing, for example, advice regarding the entire exercise can be presented after a workout. Here, in this example, for example, the present invention may be applied to a pattern in which the advice output timing is the time when the second time has elapsed from the 31A time in the 3A pattern shown in Fig. 9. Note that the second time is a value greater than 0, but when the second time is 0, the present invention may be applied to the 3A pattern. Similarly, this example may be applied to a pattern in which the advice output timing is the time when the second time has passed since the 31B time in the 3B pattern shown in Fig. 10. Note that the second time is a value greater than 0, but when the second time is 0, the pattern may be applied to the 3B pattern.

[0100] In the information processing device 1, the predetermined second time when the acquisition unit 111 acquires an exercise intensity that is greater than or equal to the second threshold and greater than or equal to the third threshold is longer than the predetermined second time when the acquisition unit 111 does not acquire an exercise intensity that is greater than or equal to the second threshold and greater than or equal to the third threshold.

[0101] Therefore, the information processing device 1 can present advice at an appropriate timing, and for example, can change the timing at which advice is output depending on the exercise intensity.

[0102] Here, this example may be applied to a pattern in which the advice output timing is the time when the second hour has elapsed from the 31A time t31A in the 3A pattern shown in Fig. 9. In this case, for example, the 34th value V34 is an example of the third threshold value, but another value may be used as the third threshold value. Similarly, this example may be applied to a pattern in which the advice output timing is the time when the second time has elapsed from the 31B time t31B in the 3B pattern shown in FIG.

[0103] In the information processing device 1, the acquisition unit 111 acquires an amount of exercise based on biological information. The determination unit 112 determines that the state of the subject 211 is a first exercise state when the amount of exercise becomes a first amount of exercise. The generation unit 113 generates advice regarding exercise based on the first exercise state. The output unit 12 outputs the advice regarding exercise after a predetermined third time has elapsed since the subject was determined to be in the first exercise state.

[0104] Therefore, for example, when the subject 211 has warmed up, the information processing device 1 can generate and output advice regarding the next workout, and can provide advice to the subject 211 on what to do next. In this example, for example, a pattern may be applied in which the amount of exercise is used instead of the pulse rate in the first pattern shown in Fig. 7. For example, calories burned during exercise may be used as the amount of exercise.

[0105] Note that the first exercise amount when using the exercise amount as in this example may be set to a value for determining the state of warming up, similar to the first threshold value when using exercise intensity. Furthermore, the predetermined third time period when the amount of exercise is used as in this example may be set to various values, for example, similar to the predetermined first time period when the exercise intensity is used. As another example, a mode in which both the amount of exercise and the intensity of exercise are used in combination may be used.

[0106] In the information processing device 1, the determination unit 112 determines that the state of the subject 211 is a second exercise state when the amount of exercise is equal to or greater than a second exercise amount that is greater than the first exercise amount. The generation unit 113 generates advice regarding an activity including exercise based on the second exercise state of the subject 211. The output unit 12 outputs the advice regarding the activity at a sixth timing that is earlier or later than the fifth timing, depending on the first exercise state and the second exercise state.

[0107] Therefore, the information processing device 1 can vary the timing of advice regarding daily activities depending on the load on the subject 211 during exercise, and can present advice regarding daily activities depending on the load on the subject 211, for example. Here, in this example, for example, the seventh pattern shown in FIG. 14 may be applied.

[0108] Note that the second amount of exercise when the amount of exercise is used as in this example may be set to a value for determining the state of workout, similar to the second threshold when exercise intensity is used. Furthermore, the fifth and sixth timings when the amount of exercise is used as in this example may be set to various values, similar to the first and second timings when the exercise intensity is used. As another example, a mode in which both the amount of exercise and the intensity of exercise are used in combination may be used.

[0109] Here, for example, the arithmetic formula for calculating the values ​​for identifying the first and second exercise states differs depending on whether exercise intensity is used or the amount of exercise is used. The arithmetic formula may be, for example, an arithmetic formula using exercise intensity as a parameter or an arithmetic formula using amount of exercise as a parameter, or as another example, an arithmetic formula using both exercise intensity and amount of exercise as parameters. Note that these arithmetic formulas may include, for example, parameters other than exercise intensity and amount of exercise.

[0110] In the information processing device 1, the advice regarding activity includes advice to encourage the subject 211 to get good sleep.

[0111] Therefore, in the information processing device 1, advice regarding activity may include advice regarding sleep, and for example, advice regarding sleep can be presented according to the load of the subject person 211. Here, in this example, for example, the seventh pattern shown in FIG. 14 may be applied.

[0112] In the information processing device 1, the detection unit detects the movement of the subject 211. The storage unit 14 stores information related to the sleep of the subject 211. The acquisition unit 111 acquires the bedtime or wake-up time of the subject 211 based on the movement and biological information of the subject 211. The storage unit 14 stores the bedtime or wake-up time of the subject 211 up to the previous day. The sixth timing is a timing according to the bedtime or wake-up time of the subject 211 up to the previous day.

[0113] Therefore, in the information processing device 1, the sixth timing is a timing based on the subject person 211's usual bedtime or wake-up time, and, for example, advice can be output earlier than the subject person 211's usual bedtime, or later than the subject person 211's usual wake-up time. Here, in this example, for example, the seventh pattern shown in FIG. 14 may be applied.

[0114] In the information processing device 1, the detection unit detects the movement of the subject 211. The memory unit 14 stores information related to the sleep of the subject 211. The determination unit 112 determines that the state of the subject 211 is a second exercise state when the amount of exercise is equal to or greater than a second exercise amount that is greater than a first exercise amount. The generation unit 113 generates advice regarding activities including exercise for the next day based on the first exercise state and the second exercise state. The acquisition unit 111 acquires the wake-up time and sleep time of the subject 211 based on the movement and biometric information of the subject 211. The determination unit 112 determines whether the sleep time is sufficient for the amount of exercise in a day including the amount of exercise in the first exercise state and the second exercise state. If it is determined that the sleep time is insufficient, the output unit 12 outputs the advice regarding activities including exercise for the next day at an eighth timing that is later than a seventh timing based on the wake-up time of the subject 211 up until the previous day.

[0115] Therefore, the information processing device 1 can change the timing of outputting advice when waking up depending on the exercise intensity and sleep time, and for example, can delay the timing of outputting advice when the sleep time is insufficient compared to the amount of exercise. In this example, for example, a pattern using the amount of exercise instead of the pulse may be applied in pattern 8A of the eight patterns shown in Figures 15 and 16. For example, calories burned during exercise may be used as the amount of exercise.

[0116] Furthermore, the seventh and eighth timings when the amount of exercise is used as in this example may be set to various values, similar to the third and fourth timings when the exercise intensity is used. As another example, a mode in which both the amount of exercise and the intensity of exercise are used in combination may be used.

[0117] In the information processing device 1, the determination unit 112 determines that the state of the subject 211 is a second exercise state when the amount of exercise is equal to or greater than a second exercise amount that is greater than the first exercise amount. The generation unit 113 generates advice encouraging a different exercise based on the second exercise state of the subject 211. The output unit 12 outputs the advice encouraging a different exercise when the amount of exercise in the second exercise state meets a predetermined amount of exercise.

[0118] Therefore, the information processing device 1 can provide advice to change the exercise at an appropriate timing according to the exercise state of the subject 211, for example, advice to reduce the amount of exercise when a predetermined amount of exercise is reached during a workout. Here, in this example, for example, the second pattern shown in FIG. 8 may be applied.

[0119] Note that the predetermined amount of exercise when the amount of exercise is used as in this example may be set to various values, for example, similar to the predetermined intensity when the exercise intensity is used. As another example, a mode in which both the amount of exercise and the intensity of exercise are used in combination may be used.

[0120] In the information processing device 1, the generation unit 113 generates advice regarding exercise review based on the first exercise state and the second exercise state. When it is determined that the exercise amount in the second exercise state has become equal to or less than the exercise amount in the first exercise state, the output unit 12 outputs the advice regarding exercise review after a predetermined fourth time has elapsed.

[0121] Therefore, the information processing device 1 can present advice regarding the entire exercise at an appropriate timing, for example, advice regarding the entire exercise can be presented after a workout.

[0122] In this example, for example, a pattern using the amount of exercise instead of the pulse rate in Pattern 3A shown in Fig. 9 may be applied. The amount of exercise may be, for example, calories burned during exercise per predetermined unit time. The predetermined unit may be any value. In this case, this example may be applied to a pattern in which the advice output timing is the time when the fourth hour has passed since the 31A time in the 3A pattern shown in Fig. 9. Note that the fourth hour is a value greater than 0, but if the fourth hour is 0, the pattern may be applied to the 3A pattern.

[0123] Similarly, in this example, for example, a pattern using the amount of exercise instead of SpO2 in the 3B pattern shown in Figure 10 may be applied. For example, the amount of exercise may be the calories burned during exercise per predetermined unit time. The predetermined unit may be any value. In this case, this example may be applied to a pattern in which the advice output timing is the time when the fourth hour has passed since the 31B time in the 3B pattern shown in Fig. 10. Note that the fourth hour is a value greater than 0, but if the fourth hour is 0, the pattern may be applied to the 3B pattern.

[0124] In the information processing device 1, the predetermined fourth time corresponding to the first total amount of exercise between the first exercise state and the second exercise state is longer than the predetermined fourth time corresponding to the second total amount of exercise, which is less than the first total amount of exercise.

[0125] Therefore, the information processing device 1 can present advice at an appropriate timing, and for example, can change the timing at which advice is output depending on the amount of exercise.

[0126] Here, this example may be applied to a pattern in which the advice output timing is the time when four hours have passed since the 31A time t31A in the 3A pattern shown in Fig. 9. Note that the first total exercise amount and the second total exercise amount when using the exercise amount as in this example may be set to various values, similar to the third threshold when using the exercise intensity. Similarly, this example may be applied to a pattern in which the advice output timing is the time when four hours have passed since the 31B time t31B in the 3B pattern shown in FIG. As another example, a mode in which both the amount of exercise and the intensity of exercise are used in combination may be used.

[0127] In the information processing device 1, the biological information includes information related to heartbeats. The acquisition unit 111 acquires data related to heart rate variability from the biological information. The output unit 12 outputs advice related to activity when a predetermined change occurs in the data related to heart rate variability.

[0128] Therefore, the information processing device 1 can prevent advice from being output when the subject 211's head is not awake, and can change the timing of advice output, such as when waking up, based on, for example, HRV, so that advice is output when the subject 211's head is awake. Here, in this example, for example, the fifth pattern shown in FIG. 12 or the sixth pattern shown in FIG. 13 may be applied.

[0129] The data regarding heart rate variability is calculated, for example, in the time domain or the frequency domain. The predetermined change may be, for example, a state in which the sympathetic nervous system is activated. A state in which the sympathetic nervous system is hyperactivated can be determined by either the first example of hyperactivation or the second example of hyperactivation shown below, or a combination of both. The first example of hyperactivity is when the variation in the time intervals between heartbeats is smaller than a predetermined value, and a specific example is when the value of RMSSD (Root Mean Square of Successive Differences of RR intervals) or SDNN (Standard Deviation of Normal and Normal Interval) is small. The second example of hyperactivity is when the ratio of frequency components of the heartbeat is smaller than a predetermined value.Specific examples include when the value of LF / HF, which is the balance between LF (Low Frequency) representing the sympathetic nervous system and HF (High Frequency) representing the parasympathetic nervous system, is large, or when the value of LF is large.

[0130] As described above, in the information processing device 1 according to this embodiment, the timing of outputting advice to the subject 211 can be varied depending on the biometric information of the subject 211, thereby making it possible to output advice at an appropriate timing depending on, for example, the biometric condition of the subject 211.

[0131] In the information processing device 1 according to this embodiment, for example, the exercise state of the subject 211 is determined based on biometric information acquired from the subject 211, advice is generated based on the exercise state of the subject 211, and the timing of outputting the advice to the subject 211 is varied depending on the biometric information, thereby presenting the advice to the subject 211 at an appropriate timing. As a specific example, the information processing device 1 according to this embodiment infers a state in which the subject 211 is suitable for receiving advice based on biological information of the subject 211 during exercise or another period, and outputs advice at a timing when the subject 211 is in the inferred state. As a result, the information processing device 1 according to this embodiment can, for example, enable the subject 211 to hear the advice in a state in which it is easy to hear, and can support the subject 211 in exercising, etc. Furthermore, the information processing device 1 according to this embodiment can, for example, present advice according to the motivation of the subject 211.

[0132] Here, in a configuration like conventional technology where only the player's body movement information and equipment dynamics information are acquired and the timing of advice is determined solely by the player's movements, for example, if the player's movements are the same, advice will be output at a uniform timing regardless of the player's physical and mental state, and it is possible that the timing of advice output may not be optimal. In contrast to this, in the present embodiment, for example, advice is output when the mental and physical state of the subject 211 is in a state suitable for receiving the advice, and therefore the subject 211 is more likely to accept the advice. Note that the mental and physical state of the subject 211 may be applied to various states, such as a good state, a normal state, or a bad state.

[0133] A program for implementing the functions of any of the components of any of the above-described devices may be recorded on a computer-readable recording medium and loaded into a computer system for execution. Here, "computer system" includes hardware such as an operating system or peripheral devices. "Computer-readable recording medium" refers to portable media such as flexible disks, optical magnetic disks, read-only memory (ROM), and compact disc (CD)-ROMs, as well as storage devices such as hard disks built into computer systems. "Computer-readable recording medium" also includes devices that retain a program for a certain period of time, such as volatile memory within a computer system that acts as a server or client when a program is transmitted over a network such as the Internet or a communication line such as a telephone line. Such volatile memory may be random access memory (RAM). The recording medium may also be non-transitory.

[0134] The above program may be transmitted from a computer system that stores the program in a storage device or the like to another computer system via a transmission medium or by transmission waves in the transmission medium. The "transmission medium" that transmits the program refers to a medium that has the function of transmitting information, such as a network such as the Internet or a communication line such as a telephone line. The above program may be for realizing some of the above functions. The above program may be a so-called differential file that can realize the above functions in combination with a program already recorded in a computer system. The differential file may also be called a differential program.

[0135] The functions of any of the components in any of the above-described devices may be implemented by a processor. Each process in the embodiments may be implemented by a processor operating based on information such as a program and a computer-readable recording medium storing information such as the program. The functions of each unit of the processor may be implemented by separate hardware, or may be implemented by integrated hardware. The processor includes hardware, and the hardware may include at least one of a circuit for processing digital signals and a circuit for processing analog signals. The processor may be configured using one or more circuit devices mounted on a circuit board, or one or both of one or more circuit elements. An integrated circuit (IC) or the like may be used as the circuit device, and a resistor or a capacitor may be used as the circuit element.

[0136] The processor may be a CPU. However, the processor is not limited to a CPU, and various types of processors such as a GPU (Graphics Processing Unit) or a DSP (Digital Signal Processor) may be used. The processor may be a hardware circuit using an ASIC (Application Specific Integrated Circuit). The processor may be configured with multiple CPUs, or may be configured with a hardware circuit using multiple ASICs. The processor may be configured with a combination of multiple CPUs and a hardware circuit using multiple ASICs. The processor may include one or more of an amplifier circuit or a filter circuit that processes analog signals.

[0137] Although the embodiments have been described above in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and includes designs within the scope of the gist of this disclosure.

[0138] [Note] Below, <Configuration Example 1> to <Configuration Example 22> are shown. Note that the lower-level configuration example may or may not be applied to the higher-level configuration example. Furthermore, a lower-level configuration example that is applicable to any of the two or more higher-level configuration examples may be applied to any of the two or more higher-level configuration examples, and furthermore, when two or more application examples arise in this way, a configuration example that is even lower than the lower-level configuration example may be applied to any of these two or more application examples.

[0139] <Configuration example 1> an acquisition unit that acquires biometric information of a subject; a determination unit that determines a state of the subject from the biological information; a generator for generating advice according to the state of the subject; an output unit that outputs the generated advice, the output unit varies the timing of outputting the advice depending on the biological information. Information processing device.

[0140] <Configuration example 2> The biological information includes at least one of pulse, SpO2, and body temperature. The information processing device described in <Configuration Example 1>.

[0141] <Configuration example 3> the acquisition unit acquires exercise intensity based on the biological information; the determination unit determines the state of the subject to be a first exercise state when the exercise intensity is equal to or greater than a first threshold and less than a second threshold; the generation unit generates exercise advice based on the first exercise state; the output unit outputs the advice regarding exercise after a predetermined first time has elapsed since the first exercise state was determined. The information processing device according to <Configuration Example 1> or <Configuration Example 2>.

[0142] <Configuration Example 4> The predetermined first time period in the case of a first exercise intensity in which the maximum value of the exercise intensity is close to the first threshold is shorter than the predetermined first time period in the case of a second exercise intensity in which the maximum value of the exercise intensity is close to the second threshold. The information processing device described in <Configuration Example 3>.

[0143] <Configuration example 5> the determination unit determines the state of the subject to be a second exercise state when the exercise intensity is equal to or greater than the second threshold; the generation unit generates advice regarding an activity including exercise based on the second exercise state of the subject; the output unit outputs the advice regarding the activity at a second timing that is earlier or later than the first timing, depending on the first exercise state and the second exercise state. The information processing device described in <Configuration Example 4>.

[0144] <Configuration Example 6> The advice regarding activity includes advice to encourage the subject to sleep. The information processing device described in <Configuration Example 5>.

[0145] <Configuration Example 7> a detection unit that detects the movement of the subject; a memory unit that stores information about the subject's sleep, the acquisition unit acquires a bedtime or a wake-up time of the subject based on the movement of the subject and the biological information; The storage unit stores the bedtime or wake-up time of the subject up to the previous day, The second timing is a timing according to the bedtime or wake-up time of the subject up to the previous day. The information processing device described in <Configuration Example 6>.

[0146] <Configuration Example 8> a detection unit that detects the movement of the subject; a memory unit that stores information about the subject's sleep, the determination unit determines the state of the subject to be a second exercise state when the exercise intensity is equal to or greater than a second threshold; the generation unit generates advice regarding an activity including exercise for the next day based on the first exercise state and the second exercise state; the acquisition unit acquires a wake-up time and a sleeping time of the subject based on the movement of the subject and the biological information; the determination unit determines whether the sleep time is sufficient for a daily exercise intensity including the exercise intensities in the first exercise state and the second exercise state; When it is determined that the sleep time is insufficient, the output unit outputs the advice regarding the activity including exercise for the next day at a fourth timing that is later than the third timing at which it is determined that the sleep time is sufficient. The information processing device described in <Configuration Example 4>.

[0147] <Configuration Example 9> the determination unit determines the state of the subject to be a second exercise state when the exercise intensity is equal to or greater than a second threshold; the generation unit generates advice to encourage a different exercise based on the second exercise state of the subject; the output unit outputs the advice encouraging a different exercise when the exercise intensity of the second exercise state satisfies a predetermined intensity. The information processing device described in <Configuration Example 4>.

[0148] <Configuration Example 10> the generation unit generates advice regarding exercise review based on the first exercise state and the second exercise state; when it is determined that the exercise intensity has changed from equal to or greater than the second threshold to less than the first threshold, the output unit outputs the advice regarding exercise review after a predetermined second time period has elapsed. The information processing device described in <Configuration Example 9>.

[0149] <Configuration Example 11> the predetermined second time period when the acquisition unit acquires the exercise intensity that is equal to or greater than the second threshold and equal to or greater than the third threshold is longer than the predetermined second time period when the acquisition unit does not acquire the exercise intensity that is equal to or greater than the second threshold and equal to or greater than the third threshold; The information processing device according to <Configuration Example 10>.

[0150] <Configuration Example 12> the acquisition unit acquires an amount of exercise based on the biological information; the determination unit determines that the state of the subject is a first exercise state when the exercise amount becomes a first exercise amount; the generation unit generates exercise advice based on the first exercise state; the output unit outputs the advice regarding exercise after a predetermined third time has elapsed since the first exercise state was determined. The information processing device according to <Configuration Example 1> or <Configuration Example 2>.

[0151] <Configuration Example 13> the determination unit determines that the state of the subject is a second exercise state when the amount of exercise is equal to or greater than a second exercise amount that is greater than the first exercise amount; the generation unit generates advice regarding an activity including exercise based on the second exercise state of the subject; the output unit outputs the advice regarding the activity at a sixth timing that is earlier or later than the fifth timing, depending on the first exercise state and the second exercise state. The information processing device described in <Configuration Example 13>.

[0152] <Configuration Example 14> The advice regarding activity includes advice to encourage the subject to sleep. The information processing device described in <Configuration Example 13>.

[0153] <Configuration Example 15> a detection unit that detects the movement of the subject; a memory unit that stores information about the subject's sleep, the acquisition unit acquires a bedtime or a wake-up time of the subject based on the movement of the subject and the biological information; The storage unit stores the bedtime or wake-up time of the subject up to the previous day, The sixth timing is a timing according to the bedtime or wake-up time of the subject up to the previous day. The information processing device described in <Configuration Example 14>.

[0154] <Configuration Example 16> a detection unit that detects the movement of the subject; a memory unit that stores information about the subject's sleep, the determination unit determines that the state of the subject is a second exercise state when the amount of exercise is equal to or greater than a second exercise amount that is greater than the first exercise amount; the generation unit generates advice regarding an activity including exercise for the next day based on the first exercise state and the second exercise state; the acquisition unit acquires a wake-up time and a sleeping time of the subject based on the movement of the subject and the biological information; the determination unit determines whether the sleep time is sufficient for an amount of exercise in a day including the amount of exercise in the first exercise state and the amount of exercise in the second exercise state; When it is determined that the sleep time is insufficient, the output unit outputs the advice regarding activities including exercise for the next day at an eighth timing that is later than a seventh timing based on the subject's wake-up time up to the previous day. The information processing device described in <Configuration Example 12>.

[0155] <Configuration Example 17> the determination unit determines that the state of the subject is a second exercise state when the amount of exercise is equal to or greater than a second exercise amount that is greater than the first exercise amount; the generation unit generates advice to encourage a different exercise based on the second exercise state of the subject; the output unit outputs the advice encouraging a different exercise when the exercise amount in the second exercise state satisfies a predetermined exercise amount. The information processing device described in <Configuration Example 12>.

[0156] <Configuration Example 18> the generation unit generates advice regarding exercise review based on the first exercise state and the second exercise state; when it is determined that the amount of exercise in the second exercise state has become equal to or less than the amount of exercise in the first exercise state, the output unit outputs the advice regarding a review of the exercise after a predetermined fourth time has elapsed. The information processing device described in <Configuration Example 17>.

[0157] <Configuration Example 19> The predetermined fourth time period corresponding to a first total amount of exercise between the first exercise state and the second exercise state is longer than the predetermined fourth time period corresponding to a second total amount of exercise that is less than the first total amount of exercise. The information processing device described in <Configuration Example 18>.

[0158] <Configuration Example 20> the biological information includes information about heartbeat; the acquiring unit acquires data on heart rate variability from the biological information, the output unit outputs advice regarding activity when a predetermined change occurs in the data regarding heart rate variability. The information processing device described in <Configuration Example 4>.

[0159] For example, it is possible to provide a method for performing information processing similar to information processing performed by an information processing device. <Configuration Example 21> The acquisition unit acquires biometric information of the subject, a determination unit that determines a state of the subject from the biological information; a generating unit generating advice according to a state of the subject; an output unit outputs the generated advice, and in this case, varies the timing of outputting the advice depending on the biological information; Information processing methods.

[0160] For example, it is possible to provide a recording medium for recording a program having a function of performing information processing similar to the information processing performed by an information processing device. The program is a computer program. <Configuration Example 22> A recording medium for recording a program, The program is configured to: an acquisition function for acquiring biometric information of a subject; a determination function for determining a state of the subject from the biological information; a generation function for generating advice according to the subject's condition; an output function of outputting the generated advice, and in this case, varying the timing of outputting the advice according to the biological information; To realize Recording medium. [Explanation of symbols]

[0161] 1...information processing device, 11...input unit, 12...output unit, 13...communication unit, 14...storage unit, 15...control unit, 21...sensor unit, 51...display unit, 111...acquisition unit, 112...determination unit, 113...generation unit, 114...timing determination unit, 211...subject, A1...advice content storage unit, B1...biometric information acquisition unit, B2...body movement information acquisition unit, B3...behavior information acquisition unit, B4...location / movement information acquisition unit, B5...audio information acquisition unit, B6...time information acquisition unit, C1...PPG sensor, C2...Temperature sensor, C3...Motion sensor, C4...GPS sensor, C5...Sound sensor, P1...1st characteristic, P2...2nd characteristic, P3A...3A characteristic, P3B...3B time, P4...4th characteristic, P5...5th characteristic, P6...6th characteristic, P7...7th characteristic, P8A...8A characteristic, P8B...8B characteristic, r1...1st hour, r61...61st hour, r71...71st hour, r72...72nd hour, r81A...81A hour, r81B...81B time, r82B...82B time Between, r83B...83Bth hour, r85...85th hour, T1...1st table, T2...2nd table, T3...3rd table, t1...1st time, t2...2nd time, t21...21st time, t31A...31Ath time, t31B...31Bth time, t41...41st time, t51...51st time, t61...61st time, t62...62nd time, t71...71st time, t71a...71ath time, t72...72nd time, t73...73rd time, t74...74th time, t74 a...74ath time, t81A...81Ath time, t82A...82Ath time, t81B...81Bth time, t82B...82Bth time, V1...1st value, V2...2nd value, V3...3rd value, V21...21st value, V22...22nd value, V31...31st value, V32...32nd value, V33...33rd value, V34...34th value, V35...35th value, V41...41st value, V51...51st value, V52...52nd value, V81A...81Ath value, V81B...81Bth value, W21...21st percentage value

Claims

1. an acquisition unit that acquires biometric information of a subject; a determination unit that determines a state of the subject from the biological information; a generator for generating advice according to the state of the subject; an output unit that outputs the generated advice, the output unit varies the timing of outputting the advice depending on the biological information. Information processing device.

2. The biological information includes at least one of pulse, SpO2, and body temperature. The information processing device according to claim 1 .

3. the acquisition unit acquires exercise intensity based on the biological information; the determination unit determines that the state of the subject is a first exercise state when the exercise intensity is equal to or greater than a first threshold and less than a second threshold; the generation unit generates exercise advice based on the first exercise state; the output unit outputs the advice regarding exercise after a predetermined first time has elapsed since the first exercise state was determined. The information processing device according to claim 2 .

4. The predetermined first time period in the case of a first exercise intensity in which the maximum value of the exercise intensity is close to the first threshold is shorter than the predetermined first time period in the case of a second exercise intensity in which the maximum value of the exercise intensity is close to the second threshold. The information processing device according to claim 3 .

5. the determination unit determines the state of the subject to be a second exercise state when the exercise intensity is equal to or greater than the second threshold; the generation unit generates advice regarding an activity including exercise based on the second exercise state of the subject; the output unit outputs the advice regarding the activity at a second timing that is earlier or later than the first timing, depending on the first exercise state and the second exercise state. The information processing device according to claim 4 .

6. The advice regarding activity includes advice to encourage the subject to sleep. The information processing device according to claim 5 .

7. a detection unit that detects the movement of the subject; a memory unit that stores information about the subject's sleep, the acquisition unit acquires a bedtime or a wake-up time of the subject based on the movement of the subject and the biological information; The storage unit stores the bedtime or wake-up time of the subject up to the previous day, The second timing is a timing according to the bedtime or the wake-up time of the subject up to the previous day. The information processing device according to claim 6 .

8. a detection unit that detects the movement of the subject; a memory unit that stores information about the subject's sleep, the determination unit determines the state of the subject to be a second exercise state when the exercise intensity is equal to or greater than a second threshold; the generation unit generates advice regarding an activity including exercise for the next day based on the first exercise state and the second exercise state; the acquisition unit acquires a wake-up time and a sleeping time of the subject based on the movement of the subject and the biological information; the determination unit determines whether the sleep time is sufficient for a daily exercise intensity including the exercise intensities in the first exercise state and the second exercise state; When it is determined that the sleep time is insufficient, the output unit outputs the advice regarding activities including exercise for the next day at a fourth timing that is later than a third timing at which it is determined that the sleep time is sufficient. The information processing device according to claim 4 .

9. the determination unit determines the state of the subject to be a second exercise state when the exercise intensity is equal to or greater than a second threshold; the generation unit generates advice to encourage a different exercise based on the second exercise state of the subject; the output unit outputs the advice encouraging a different exercise when the exercise intensity of the second exercise state satisfies a predetermined intensity. The information processing device according to claim 4 .

10. the generation unit generates advice regarding exercise review based on the first exercise state and the second exercise state; when it is determined that the exercise intensity has changed from equal to or greater than the second threshold to less than the first threshold, the output unit outputs the advice regarding exercise review after a predetermined second time period has elapsed. The information processing device according to claim 9 .

11. the predetermined second time period when the acquisition unit acquires the exercise intensity that is equal to or greater than the second threshold and equal to or greater than the third threshold is longer than the predetermined second time period when the acquisition unit does not acquire the exercise intensity that is equal to or greater than the second threshold and equal to or greater than the third threshold; The information processing device according to claim 10.

12. the acquisition unit acquires an amount of exercise based on the biological information; the determination unit determines that the state of the subject is a first exercise state when the exercise amount becomes a first exercise amount; the generation unit generates exercise advice based on the first exercise state; the output unit outputs the advice regarding exercise after a predetermined third time has elapsed since the first exercise state was determined. The information processing device according to claim 2 .

13. the determination unit determines that the state of the subject is a second exercise state when the exercise amount is equal to or greater than a second exercise amount that is greater than the first exercise amount; the generation unit generates advice regarding an activity including exercise based on the second exercise state of the subject; the output unit outputs the advice regarding the activity at a sixth timing that is earlier or later than the fifth timing, depending on the first exercise state and the second exercise state. The information processing device according to claim 12.

14. The advice regarding activity includes advice to encourage the subject to sleep. The information processing device according to claim 13.

15. a detection unit that detects the movement of the subject; a memory unit that stores information about the subject's sleep, the acquisition unit acquires a bedtime or a wake-up time of the subject based on the movement of the subject and the biological information; The storage unit stores the bedtime or wake-up time of the subject up to the previous day, The sixth timing is a timing according to the bedtime or the wake-up time of the subject up to the previous day. The information processing device according to claim 14.

16. a detection unit that detects the movement of the subject; a memory unit that stores information about the subject's sleep, the determination unit determines that the state of the subject is a second exercise state when the exercise amount is equal to or greater than a second exercise amount that is greater than the first exercise amount; the generation unit generates advice regarding an activity including exercise for the next day based on the first exercise state and the second exercise state; the acquisition unit acquires a wake-up time and a sleeping time of the subject based on the movement of the subject and the biological information; the determination unit determines whether the sleep time is sufficient for an amount of exercise in a day including the amount of exercise in the first exercise state and the amount of exercise in the second exercise state; When it is determined that the sleep time is insufficient, the output unit outputs the advice regarding activities including exercise for the next day at an eighth timing that is later than a seventh timing based on the subject's wake-up time up to the previous day. The information processing device according to claim 12.

17. the determination unit determines that the state of the subject is a second exercise state when the exercise amount is equal to or greater than a second exercise amount that is greater than the first exercise amount; the generation unit generates advice to encourage a different exercise based on the second exercise state of the subject; the output unit outputs the advice encouraging a different exercise when the exercise amount in the second exercise state satisfies a predetermined exercise amount. The information processing device according to claim 12.

18. the generation unit generates advice regarding exercise review based on the first exercise state and the second exercise state; when it is determined that the amount of exercise in the second exercise state has decreased to or less than the amount of exercise in the first exercise state, the output unit outputs the advice regarding a review of the exercise after a predetermined fourth time has elapsed. The information processing device according to claim 17.

19. The predetermined fourth time period corresponding to a first total amount of exercise between the first exercise state and the second exercise state is longer than the predetermined fourth time period corresponding to a second total amount of exercise that is less than the first total amount of exercise. The information processing device according to claim 18.

20. the biological information includes information about heartbeat; the acquiring unit acquires data on heart rate variability from the biological information, the output unit outputs advice regarding activity when a predetermined change occurs in the data regarding heart rate variability. The information processing device according to claim 4 .

21. The acquisition unit acquires biometric information of the subject, a determination unit that determines a state of the subject from the biological information; a generating unit generating advice according to a state of the subject; an output unit outputs the generated advice, and in this case, varies the timing of outputting the advice depending on the biological information; Information processing methods.

22. A recording medium for recording a program, The program is configured to: an acquisition function for acquiring biometric information of a subject; a determination function for determining a state of the subject from the biological information; a generation function for generating advice according to the subject's condition; an output function of outputting the generated advice, and in this case, varying the timing of outputting the advice according to the biological information; To realize Recording medium.

Images