Information processing apparatus, information processing method, and recording medium

Abstract

The invention provides an information processing apparatus, an information processing method, and a recording medium, which can output suggestions at an appropriate timing according to the state of a living body of a subject. An information processing device is provided with: an acquisition unit that acquires biological information of a subject; a determination unit that determines the state of the subject on the basis of the biological information; a generation unit that generates a suggestion in accordance with the state of the subject; and an output unit that outputs the generated suggestion, and the output unit varies the timing at which the suggestion is output on the basis of the biological information.

Description

Technical Field

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

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

[0003] Patent Document 1: Japanese Patent Application Laid-Open No. 2016-198352

[0004] However, conventional technologies do not obtain the subject's biometric information, making it impossible to adjust the timing of outputting recommendations based on biometric information. For example, it is impossible to adjust the timing of outputting recommendations based on the subject's physical condition based on biometric information. Therefore, conventional technologies may, for example, produce recommendations at a timing that does not match the subject's physical condition. Summary of the Invention

[0005] In order to solve the above-mentioned problem, one method is an information processing device comprising: an acquisition unit that acquires biometric information of a subject; a determination unit that determines the status of the subject based on the biometric information; a generation unit that generates advice corresponding to the status of the subject; and an output unit that outputs the generated advice, wherein the output unit varies the timing of outputting the advice according to the biometric information.

[0006] In order to solve the above-mentioned problem, one method is an information processing method, wherein an acquisition unit acquires biometric information of a subject, a determination unit determines the status of the subject based on the biometric information, a generation unit generates advice corresponding to the status of the subject, and an output unit outputs the generated advice. In this case, the timing of outputting the advice is different according to the biometric information.

[0007] In order to solve the above-mentioned problems, one method is a recording medium recording a program, wherein the program enables a computer to implement the following functions: an acquisition function for acquiring the biological information of an object person; a determination function for determining the status of the object person based on the biological information; a generation function for generating a suggestion corresponding to the status of the object person; and an output function for outputting the generated suggestion, in which case the timing of outputting the suggestion is different according to the biological information. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 This is a diagram showing a schematic configuration example of an information processing device according to an embodiment.

[0009] Figure 2This is a diagram showing an example of classification of biological information according to the embodiment.

[0010] Figure 3 This is a diagram showing an example of a first table indicating the contents of the heartbeat region according to the embodiment.

[0011] Figure 4 This is a diagram showing an example of a process flow performed by the information processing device according to the embodiment.

[0012] Figure 5 This is a diagram showing a second table showing an example of a pattern indicating the relationship between timing states and advice content according to the embodiment.

[0013] Figure 6 This is a diagram showing a third table showing an example of a trend of biometric information serving as a source of estimation in relation to each mode of the embodiment.

[0014] Figure 7 This is a diagram showing an example of a graph indicating the trend of the first pattern of the embodiment.

[0015] Figure 8 This is a diagram showing an example of a graph indicating the trend of the second pattern of the embodiment.

[0016] Figure 9 This is a diagram showing an example of a graph indicating the trend of the 3A mode according to the embodiment.

[0017] Figure 10 This is a diagram showing an example of a graph indicating the trend of the 3B mode of the embodiment.

[0018] Figure 11 This is a diagram showing an example of a graph indicating the trend of the fourth pattern of the embodiment.

[0019] Figure 12 This is a diagram showing an example of a graph indicating the trend of the fifth pattern of the embodiment.

[0020] Figure 13 This is a diagram showing an example of a graph indicating the trend of the sixth pattern of the embodiment.

[0021] Figure 14 This is a diagram showing an example of a graph indicating the trend of the seventh pattern of the embodiment.

[0022] Figure 15 This is a diagram showing an example of a graph indicating the trend of the 8A mode according to the embodiment.

[0023] Figure 16 This is a diagram showing an example of a graph indicating the trend of the 8B mode of the embodiment.

[0024] Label Description

[0025] 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: Recommendation content storage unit; B1: Biometric information acquisition unit; B2: Body movement information acquisition unit; B3: Action information acquisition unit; B4: Location / movement information acquisition unit; B5: Voice information acquisition unit; B6: Time information acquisition unit; C1: PPG sensor; C 2: Temperature sensor; C3: Motion sensor; C4: GPS sensor; C5: Sound sensor; P1: 1st characteristic; P2: 2nd characteristic; P3A: 3A characteristic; P3B: 3B characteristic; P4: 4th characteristic; P5: 5th characteristic; P6: 6th characteristic; P7: 7th characteristic; P8A: 8A characteristic; P8B: 8B characteristic; r1: 1st time; r61: 61st time; r71: 71st time; r72: 72nd time; r81A: 81A time; r81B: 81B time; r82B: 82B time time; r83B: time 83B; r85: time 85; T1: first table; T2: second table; T3: third table; t1: first moment; t2: second moment; t21: 21st moment; t31A: 31A moment; t31B: 31B moment; t41: 41st moment; t51: 51st moment; t61: 61st moment; t62: 62nd moment; t71: 71st moment; t71a: 71a moment; t72: 72nd moment; t73: 73rd moment; t74: 74th moment; t74a: 74th moment a moment; t81A: 81A moment; t82A: 82A moment; t81B: 81B moment; t82B: 82B moment; 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: 81A value; V81B: 81B value; W21: 21st proportional value. DETAILED DESCRIPTION

[0026] Hereinafter, embodiments will be described with reference to the drawings.

[0027] An embodiment will be described.

[0028] Figure 1 This is a diagram showing a schematic configuration example of the information processing device 1 according to the embodiment.

[0029] 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 .

[0030] The output unit 12 includes a display unit 51 .

[0031] The control unit 15 includes an acquisition unit 111 , a determination unit 112 , a generation unit 113 , and a timing determination unit 114 .

[0032] The acquisition unit 111 includes a biological information acquisition unit B1 , a body motion information acquisition unit B2 , an action information acquisition unit B3 , a location / movement information acquisition unit B4 , a voice information acquisition unit B5 , and a time information acquisition unit B6 .

[0033] 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 .

[0034] Alternatively, other methods such as GNSS (Global Navigation Satellite System) may be used instead of GPS.

[0035] In addition, Figure 1 2 shows a human subject 211 .

[0036] In this embodiment, the subject 211 is a person who exercises.

[0037] In this embodiment, for example, the information processing device 1 is a watch-type device that is mounted on the arm of the subject 211 for use, but is not limited to this. For example, the information processing device 1 can also be a device worn on the upper arm or a device worn on the foot.

[0038] The information processing device 1 is not particularly limited, and for example, a smartphone, a tablet terminal, or other computers may be used.

[0039] The input unit 11 performs, for example, a process of inputting information in accordance with a user operation and a process of inputting information from other devices.

[0040] The output unit 12 performs processing to output information to other devices, for example.

[0041] For example, the display unit 51 has a screen for displaying information, and displays information of a display target on the screen.

[0042] Furthermore, the output unit 12 may output information to an external display device to display the information on a screen of the display device, or may output information to an external printer device to print out the information.

[0043] Furthermore, the output unit 12 may output information from the information processing device 1 or via an external device, for example, by means of sound, light, or the like in addition to display.

[0044] The communication unit 13 communicates with other devices.

[0045] In addition, in this embodiment, the communication unit 13 is shown separately from the input unit 11 and the output unit 12 , but the function of the communication unit 13 may be included in the functions of the input unit 11 and the output unit 12 , for example.

[0046] The storage unit 14 stores information.

[0047] In the present embodiment, the storage unit 14 includes an advice content storage unit A1 that stores information on advice including advice content.

[0048] In the present embodiment, for convenience of explanation, the storage unit 14 is described as including the recommended content storage unit A1 . However, the function of the recommended content storage unit A1 does not necessarily need to be clearly distinguished in the storage unit 14 .

[0049] In this embodiment, the storage unit 14 can store various information used in the processing of the information processing device 1 , and can store, for example, information detected by the sensor unit 21 , information acquired by the acquisition unit 111 , and other information.

[0050] The control unit 15 performs various processes and controls.

[0051] In this embodiment, the information processing device 1 is configured using a computer.

[0052] The control unit 15 includes a processor such as a CPU (Central Processing Unit), and performs various processes and controls by executing a predetermined program by the processor.

[0053] This program may be stored in the storage unit 14 , for example.

[0054] The acquisition unit 111 acquires various information.

[0055] In the present embodiment, the acquisition unit 111 acquires one or more of biological information, body motion information, action information, location / movement information, voice information, time information, and the like.

[0056] In this embodiment, for ease of explanation, the acquisition unit 111 is described as including a biological information acquisition unit B1 for acquiring information related to the biological body of the subject person 211, namely, biological information, a body movement information acquisition unit B2 for acquiring information related to the movement of the subject person 211, namely, body movement information, a motion information acquisition unit B3 for acquiring action information of the subject person 211, a location / movement information acquisition unit B4 for acquiring location / movement information of the subject person 211, a voice information acquisition unit B5 for acquiring voice information, and a time information acquisition unit B6 for acquiring time information. However, the functions of each of these information acquisition units do not necessarily need to be clearly distinguished in the acquisition unit 111.

[0057] Furthermore, the acquisition unit 111 may further acquire other information based on the acquired one or more pieces of information. For example, the other information may be information such as the exercise intensity or the amount of exercise of the subject 211.

[0058] In this embodiment, the exercise intensity of the subject 211, the amount of exercise of the subject 211, or a combination thereof may be used as an indicator for determining the output timing of the recommendation. In addition, the output timing of the recommendation may be determined using the above indicators and other indicators.

[0059] In addition, the output timing of the advice may also be referred to as a prompting timing of the advice, a notification timing of the advice, or a notification timing of the advice.

[0060] Here, the behavior information acquisition unit B3 may acquire, for example, information on the daily behavior history of the subject person 211 .

[0061] Furthermore, the location / movement information acquisition unit B4 may acquire information on the location of the subject person 211 and information on the movement history of the subject person 211 .

[0062] Furthermore, the voice information acquisition unit B5 may acquire, for example, voice information around the subject person 211 .

[0063] The determination unit 112 determines the state of the subject person 211 based on the biometric information acquired by the acquisition unit 111 .

[0064] The generating unit 113 generates advice according to the status of the subject 211. In this embodiment, the information of the advice is stored and retained in the advice content storage unit A1. The information of the advice includes information indicating the content of the advice.

[0065] The timing determination unit 114 determines the timing for outputting advice based on a predetermined determination index. In the present embodiment, the determination index includes, for example, at least one of the biometric information of the subject 211 and other information derived from the biometric information.

[0066] Here, in the present embodiment, the output unit 12 outputs advice at the timing determined by the timing determination unit 114 .

[0067] In addition, in the present embodiment, the output unit 12 outputs advice including advice content stored in the advice content storage unit A1, for example.

[0068] Therefore, the output unit 12 can change the timing of outputting advice according to the biological information of the subject 211 .

[0069] The PPG sensor C1 detects information on the pulse of the subject 211 , information on SpO 2 , and the like.

[0070] The temperature sensor C2 detects information on the body temperature of the subject person 211 .

[0071] The motion sensor C3 detects information on the motion of the subject person 211. In the present embodiment, the information on the motion of the subject person 211 is used as information on the behavior of the subject person 211.

[0072] The GPS sensor C4 detects information on the position of the subject person 211 using GPS.

[0073] The sound sensor C5 detects sound information. In this embodiment, the sound includes voice.

[0074] Here, the sensor unit 21 includes at least one sensor capable of acquiring biological information of the subject 211. In other respects, the type and number of sensors included in the sensor unit 21 are not particularly limited, and various configurations may be used.

[0075] In addition, in this embodiment, for the sake of convenience of explanation, a configuration example is shown in which the sensor unit 21 includes all sensors. However, the present invention is not limited thereto, and for example, each sensor may be provided independently.

[0076] In addition, the sensor may also be called a detection unit or the like.

[0077] The biological information acquisition unit B1 acquires biological information based on at least one of the information on the detection result of the PPG sensor C1 and the information on the detection result of the temperature sensor C2.

[0078] The body motion information acquisition unit B2 acquires body motion information based on the detection result information of the motion sensor C3.

[0079] The behavior information acquisition unit B3 acquires behavior information based on at least one of the information on the detection result of the motion sensor C3 and the information on the detection result of the GPS sensor C4.

[0080] The location / movement information acquisition unit B4 acquires location information or movement information based on the information of the detection result of the GPS sensor C4.

[0081] The voice information acquisition unit B5 acquires voice information based on the information of the detection result of the sound sensor C5.

[0082] The time information acquisition unit B6 acquires time information from, for example, the detection result information of the GPS sensor C4 or a timekeeping function within the information processing device 1. Alternatively, the time information acquisition unit B6 may acquire time information based on time information provided by, for example, an external device.

[0083] Here, the time information may include, for example, information on a time instant and may also include information on a length of time.

[0084] As a specific example, the PPG sensor C1 detects pulse information, SpO2 information, sleep information, and respiratory information through measurement, and the like, which are sensor information used as calculation sources.

[0085] As a specific example, the temperature sensor C2 detects sensor information that serves as a calculation source for body temperature information through measurement.

[0086] 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.

[0087] For example, the body motion information acquisition unit B2 and the timing determination unit 114 can determine the timing to output advice when the subject 211 is inactive. Furthermore, when the subject 211 is inactive, it is estimated that the subject 211 is resting.

[0088] For example, the action information acquisition unit B3 and the timing determination unit 114 can store the time when the subject 211 usually exercises, and can determine to output advice at a timing slightly before the subject 211 exercises.

[0089] For example, the location / movement information acquisition unit B4 and the timing determination unit 114 can estimate the start of movement based on the location of the subject person 211 and determine whether to output advice at the estimated timing.

[0090] For example, the voice information acquisition unit B5 and the timing determination unit 114 can determine the timing of outputting advice when the subject person 211 is not talking to other people.

[0091] For example, when the subject 211 makes an affirmative statement, the voice information acquisition unit B5 and the timing determination unit 114 can determine the output of advice at that timing.

[0092] For example, the time information acquisition unit B6 and the timing determination unit 114 can determine the timing to output advice when a predetermined biological state continues for a certain period of time.

[0093] For example, the time information acquisition unit B6 and the timing determination unit 114 can determine the timing at which advice is output when a predetermined time has passed since a predetermined biological state was detected.

[0094] For example, the time information acquisition unit B6 and the timing determination unit 114 can measure the elapsed time for notifications of going to bed and getting up, and output advice when a predetermined time has elapsed.

[0095] In addition, it can also be called going to bed instead of going to bed.

[0096] Here, in this embodiment, for the sake of convenience of explanation, an integrated information processing device 1 is shown, but for example, Figure 1 The functions of the information processing device 1 shown are distributed across multiple devices. Figure 1 The information processing device 1 shown 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 via wired or wireless means as needed.

[0097] As an example, Figure 1 The device having the functions of the sensor unit 21 shown may be configured separately from the information processing device 1 .

[0098] In addition, in this embodiment, the information processing device 1 is shown as being mounted on the arm of the subject 211. However, as another example, a structure in which the information processing device 1 has another form and is mounted at one or more locations other than the arm of the subject 211 may be used.

[0099] Furthermore, the information processing device 1 may include, for example, an AI (Artificial Intelligence) function and utilize the AI.

[0100] Figure 2 This is a diagram showing an example of classification of biological information according to the embodiment.

[0101] exist Figure 2 In the example of , the biological information includes information such as pulse, SpO2 which is transcutaneous arterial oxygen saturation, and body temperature.

[0102] From the pulse information, information such as pulse rate, HRV (Heart Rate Variability), and respiration can be obtained.

[0103] Based on the pulse rate information, you can get information such as pulse rate, heart rate zone, recovery level, fatigue level, calories burned during exercise, and sleep.

[0104] Based on the sleep information, information such as sleep time and sleep quality can be obtained.

[0105] Information such as bedtime and wake-up time can be obtained based on the sleep time information.

[0106] Based on the sleep quality information, it is possible to obtain information such as whether the sleep is light sleep or deep sleep.

[0107] Based on HRV information, we can obtain information such as excitement / relaxation, wakefulness / drowsiness, and autonomic nervous system balance.

[0108] Information on the oxygen uptake status can be obtained from the SpO2 information.

[0109] also, Figure 2 The examples are for illustration purposes only and are not limited thereto. Various types of biological information may be used, and various types of information related to a biological body may be acquired by various methods.

[0110] Figure 3 1 is a diagram showing an example of a first table T1 indicating the contents of the heartbeat region according to the embodiment.

[0111] In the first table T1, levels and names are stored in association with each other as the contents of the heartbeat area.

[0112] 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 extreme zone.

[0113] Figure 4 This is a diagram showing an example of the flow of processing performed by the information processing device 1 according to the embodiment.

[0114] exist Figure 4 In the example of , an outline of the processing from acquisition of sensor information to determination and designation of the recommendation timing is shown.

[0115] also, Figure 4 The example is just one example and is not limited thereto. Various processing flows can also be used.

[0116] In process Q1 , the sensor unit 21 acquires sensor information and transmits the sensor information to the acquisition unit 111 .

[0117] 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, Figure 2Among the various information shown, information that can be used to provide advice.

[0118] In process Q3, the timing determination unit 114 transmits a biometric information acquisition request to the acquisition unit 111. In process Q4, the acquisition unit 111 transmits the requested biometric information to the timing determination unit 114 in response to receipt of the biometric information acquisition request.

[0119] In process Q5 , the timing determination unit 114 checks the biometric information received from the acquisition unit 111 .

[0120] In process Q6 , the timing determination unit 114 determines the timing of the recommendation based on the examination result of the biometric information, and transmits the timing to the output unit 12 for designation.

[0121] In addition, the following process Q11 and process Q12 may be performed at a timing independent of the above processes, or may be performed at a timing in conjunction with the above processes.

[0122] In process Q11 , the output unit 12 transmits a suggested content acquisition request to the suggested content storage unit A1 .

[0123] In process Q12, the output unit 12 obtains the suggested content requested by the suggested content acquisition request from the suggested content storage unit A1. The output unit 12 then outputs the suggestions of the obtained suggested content at a designated timing.

[0124] Figure 5 This is a diagram showing an example of a second table T2 showing a pattern of relationships between timing states and advice contents according to the embodiment.

[0125] In this embodiment, the first to eighth modes are exemplified.

[0126] In the second table T2, the pattern number, the state of the subject person 211, and the output advice content are stored in association with each other.

[0127] Here, the state of the subject 211 is a state estimated based on the biological information of the subject 211 , and in this example, indicates a state determined as a timing for outputting advice.

[0128] Furthermore, as the content of the suggestion, information on what the suggestion is and specific examples are included.

[0129] also, Figure 5 The example is just one example, and the present invention is not limited thereto, and various methods can be used.

[0130] Figure 6 3 is a diagram showing a third table T3 indicating an example of a trend of biometric information serving as an estimation source for each mode of the embodiment.

[0131] The third table T3 stores the biometric information of the subject 211, the pattern number, and the trend of the biometric information serving as the estimation source in association with each other.

[0132] also, Figure 6 The example is just one example, and the present invention is not limited thereto, and various methods can be used.

[0133] Here, for example, the state shown in the second table T2 may be estimated based on the trend of the biometric information serving as the estimation source shown in the third table T3.

[0134] In the third table T3 , when the same pattern number exists in two or more locations, the trend in any one location may be used, or the trends in any two or more locations may be used in combination.

[0135] Figure 7 This is a diagram showing an example of a graph indicating a trend in the first pattern of the embodiment.

[0136] In this graph, the horizontal axis represents time, and the vertical axis represents the pulse rate value [bpm].

[0137] This graph shows a first characteristic P1 indicating the relationship between time and pulse rate. The first characteristic P1 indicates the trend of the pulse rate over time.

[0138] In addition, the graph shows a first value V1, which is a pulse rate value; a second value V2, which is another pulse rate value; and a third value V3, which is yet another pulse rate value. The second value V2 is larger than both the first value V1 and the third value V3. The third value V3 is larger than the first value V1.

[0139] In this example, a state where the pulse rate is equal to or greater than the first value V1 and less than the second value V2 is considered a warm-up state, and a state where the pulse rate is equal to or greater than the second value V2 is considered a training state.

[0140] In the first mode, the timing for outputting advice is after the subject 211 warms up and before exercising.

[0141] exist Figure 7 In the example of , regarding the first characteristic P1, a first moment t1 is shown when the pulse rate of the subject 211 rises to reach the third value V3 and then falls to reach the first value V1, and a second moment t2 is shown when a first time r1, which is a predetermined time, has passed from the first moment t1.

[0142] Here, in this embodiment, as the warm-up state, for example, a state in which the body is active and the heart rate zone is at level 1 is used.

[0143] In the warm-up state, for example, the subject 211 performs warm-up exercises.

[0144] In this example, the second time t2 is used as the output timing of the advice.

[0145] The content of the advice provided may include, for example, content that the user should be aware of during the next exercise.

[0146] In this example, the information processing device 1 uses the pulse rate as input and uses, as a judgment criterion, that the pulse rate estimated to be warm-up continues for a certain period of time.

[0147] In addition, the timing before exercise may be, for example, immediately before exercise or another timing.

[0148] Here, in Figure 7 In the example of , the case where exercise intensity is used as an indicator is shown, but as another example, a method of using exercise amount as an indicator instead of exercise intensity can also be used, or a method of using a combination of exercise intensity and exercise amount as an indicator can also be used.

[0149] In this example, the first time r1 is a value greater than 0, but as another example, a configuration in which the first time r1 is 0 may be used.

[0150] Figure 8 This is a diagram showing an example of a graph indicating a trend in the second pattern of the embodiment.

[0151] In this graph, the horizontal axis represents time, and the vertical axis represents the cumulative value of calories consumed during exercise [kcal].

[0152] This graph shows a second characteristic P2 indicating the relationship between time and the cumulative amount of calories burned during exercise.

[0153] The graph also shows a 21st value V21, which is the target value for the cumulative calorie consumption during exercise, and a 22nd value V22, which is a value smaller than the 21st value V21 and serves as a threshold. The 22nd value V22 corresponds to V21×W21, the result of multiplying the 21st proportional value W21, which is a predetermined proportional value, by the 21st value V21.

[0154] Here, the 21st proportional value W21 is a value greater than 0 and less than 1.

[0155] In the second mode, the output timing of the advice is the timing when the subject 211 shifts from an activity with high exercise intensity to an activity with low exercise intensity during exercise.

[0156] Here, the high-intensity exercise is performed within a predetermined time, for example.

[0157] exist Figure 8In the example of FIG, the second characteristic P2 is shown as the 21st time t21 when the cumulative value of calorie consumption during exercise of the subject 211 increases and reaches the 22nd value V22.

[0158] In this example, the 21st time t21 is used as the output timing of the advice.

[0159] The suggested content provided is, for example, content that encourages changes in exercise content.

[0160] In this example, the information processing device 1 uses calories burned during exercise as input, and uses as a determination criterion that the cumulative value of calories burned during exercise reaches a predetermined ratio of target calories.

[0161] Furthermore, when obtaining the cumulative value of calories burned during exercise, for example, each time the subject 211 temporarily stops exercising, the cumulative value is reset to zero.

[0162] The predetermined ratio is not particularly limited, and for example, 0.8 can be used.

[0163] Figure 9 This is a diagram showing an example of a graph indicating a trend in the 3A mode of the embodiment.

[0164] The 3A mode is an example of the third mode.

[0165] In this graph, the horizontal axis represents time, and the vertical axis represents heart rate range.

[0166] This graph shows a 3A characteristic P3A indicating the relationship between time and heartbeat zone.

[0167] In addition, the graph shows a 31st value V31, a 32nd value V32, a 33rd value V33, and a 34th value V34, which are values ​​indicating the heartbeat region.

[0168] 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.

[0169] In the 3A mode, the output timing of the advice is after the subject 211 has exercised and after the subject 211 has rested. This timing is, for example, when the subject 211 can get enough rest.

[0170] exist Figure 9 In the example of FIG. 3A, the 3A characteristic P3A shows the 31A time t31A when the heartbeat zone of the subject 211 drops from the anaerobic zone to the easy zone.

[0171] In this example, the 31Ath time t31A is used as the output timing of the advice.

[0172] The content of the advice given is, for example, a review of the previous exercise.

[0173] In this example, the information processing device 1 uses the heartbeat region as input and uses, as a determination criterion, that the level of the heartbeat region decreases and reaches the easy region.

[0174] Here, in the 3A mode, the recommended output timing is shown as time t31A at the 31Ath time. However, as another example, a method may be used in which the recommended output timing is a time after a predetermined time has passed from time t31A at the 31Ath time. In this case, for example, the predetermined time may be variably set based on the value of the heartbeat zone before time t31A, and the predetermined time may be a maximum value, for example.

[0175] Figure 10 This is a diagram showing an example of a graph indicating the trend of the 3B mode of the embodiment.

[0176] Mode 3B is another example of the third mode.

[0177] In this graph, the horizontal axis represents time, and the vertical axis represents the SpO2 value [%].

[0178] This graph shows a 3B characteristic P3B indicating the relationship between time and SpO2.

[0179] In addition, in this graph, the 35th value V35 which is a predetermined value of SpO2 and becomes a threshold value is shown. As an example, this predetermined value is 95, but it is not limited to this.

[0180] In the 3B mode, the output timing of the advice is after the subject 211 has exercised and after the subject 211 has rested. This timing is, for example, when the subject 211 can get enough rest.

[0181] exist Figure 10 In the example of FIG, the 3B characteristic P3B shows the 31B time t31B when the SpO2 value of the subject 211 rises and reaches the 35th value V35.

[0182] In this example, the 31Bth time t31B is used as the output timing of the advice.

[0183] The content of the advice given is, for example, a review of the previous exercise.

[0184] In this example, the information processing device 1 uses SpO2 as input and uses as a judgment criterion a judgment standard that provides advice when the SpO2 value is within a normal range, such as 95% to 100%.

[0185] Here, in this example, the situation where blood oxygen is sometimes lacking during exercise is considered.

[0186] Here, in the 3B mode, the recommended output timing is shown as time t31B at time 31B. However, as another example, a method may be used in which a time after a predetermined time has passed from time t31B at time 31B is used as the recommended output timing. In this case, for example, the predetermined time may be variably set based on the SpO2 value before time t31B, and the value may be, for example, the minimum value.

[0187] Figure 11 This is a diagram showing an example of a graph indicating a trend in the fourth mode of the embodiment.

[0188] In this graph, the horizontal axis represents time, and the vertical axis represents body temperature values ​​[° C.].

[0189] This graph shows a fourth characteristic P4 indicating the relationship between time and body temperature.

[0190] In addition, the graph shows a 41st value V41 as a predetermined value of body temperature and a threshold value. As an example, this predetermined value is 38, but it is not limited to this.

[0191] In this example, the prescribed value corresponds to the upper limit of the normal range of body temperature.

[0192] In the fourth mode, the timing for outputting advice is when an abnormality is detected in the biological condition of the subject 211 .

[0193] exist Figure 11 In the example of , regarding the fourth characteristic P4, a 41st time t41 is shown when the body temperature of the subject 211 rises suddenly to reach a 41st value V41 and exceeds the upper limit of the normal range.

[0194] In this example, the 41st time t41 is used as the output timing of the advice.

[0195] The content of the advice provided is, for example, content for comforting the body.

[0196] In this example, the information processing device 1 uses body temperature as input and uses the determination criterion that the body temperature rises rapidly and falls outside the normal range as the determination criterion.

[0197] Figure 12 This is a diagram showing an example of a graph indicating a trend in the fifth pattern of the embodiment.

[0198] In this graph, the horizontal axis represents time, and the vertical axis represents the HRV value [bpm].

[0199] This graph shows a fifth characteristic P5 indicating the relationship between time and HRV [bpm].

[0200] In addition, the graph shows a 51st value V51 as a predetermined value of HRV and a 52nd value V52 as another predetermined value of HRV. The 52nd value V52 is larger than the 51st value V51.

[0201] In the fifth mode, the timing for outputting advice is when the subject 211 returns to a normal state from a mindfulness state.

[0202] exist Figure 12 In the example of , the fifth characteristic P5 shows the 51st time t51 when the HRV of the subject 211 rises to reach the 52nd value V52 and then falls to reach the 51st value V51.

[0203] In this example, the 51st time t51 is used as the output timing of the advice.

[0204] The suggested content provided may be, for example, content that promotes mindfulness activities.

[0205] In this example, the information processing device 1 uses HRV as input and uses a determination criterion of transition from a relaxed state to a neutral state and then returning to the neutral state as a determination criterion.

[0206] In general, mindfulness activities refer to a state of regulating the mind through meditation, etc. When performing such activities, a relaxed / drowsy state with a high HRV value is achieved, which is considered a mindfulness state.

[0207] Figure 13 This is a diagram showing an example of a graph indicating a trend in the sixth pattern of the embodiment.

[0208] In this graph, the horizontal axis represents time, and the vertical axis represents the sleep determination result.

[0209] This graph shows a sixth characteristic P6 indicating the relationship between time and sleep determination results.

[0210] In addition, this graph shows the sleeping state and the waking state as the sleep determination results.

[0211] Here, the time when the subject 211 changes from the state of being awake to the state of being asleep corresponds to the time when the subject 211 goes to bed.

[0212] Furthermore, the time when the subject 211 changes from a sleeping state to a waking state corresponds to the time when the subject 211 wakes up.

[0213] In the sixth mode, the timing for outputting the advice is when the subject 211 wakes up and his head is clear to a certain extent.

[0214] exist Figure 13 In the example, the sixth characteristic P6 shows the 62nd time t62 when the 61st time r61, which is the predetermined time, has elapsed since the 61st time t61 when the subject 211 woke up from sleeping. In other words, the 61st time r61 represents the predetermined time that has elapsed since the subject 211 woke up.

[0215] In this example, the 62nd time t62 is used as the output timing of the advice.

[0216] The content of the advice given is, for example, a content that one should be aware of throughout the day.

[0217] In this example, the information processing device 1 uses the waking time and the sleep quality immediately before waking as inputs, and uses the criterion that a predetermined time has passed since the waking time as a determination criterion.

[0218] Here, the predetermined time is the 61st time r61, and can be changed, for example, depending on the sleep quality of the subject 211 immediately before waking up. As a specific example, the following method can be used: when the sleep quality of the subject 211 immediately before waking up is rapid eye movement sleep, the predetermined time is set to 10 minutes, and when the sleep quality of the subject 211 immediately before waking up is non-rapid eye movement sleep, the predetermined time is set to 20 minutes.

[0219] In this example, the information processing device 1 determines the sleep quality of the subject 211 while the subject 211 is sleeping.

[0220] Figure 14 This is a diagram showing an example of a graph indicating a trend in the seventh pattern of the embodiment.

[0221] In this graph, the horizontal axis represents time, and the vertical axis represents the sleep determination result.

[0222] This graph shows a seventh characteristic P7 indicating the relationship between time and sleep determination results.

[0223] In addition, this graph shows the sleeping state and the waking state as the sleep determination results.

[0224] In the seventh mode, the timing of outputting the advice is before the subject 211 goes to bed or after the subject 211 wakes up.

[0225] exist Figure 14In the example of the seventh characteristic P7, the 71st time t71 when the subject 211 changes from the state of getting up on the previous day to the state of sleeping, the 72nd time t72 which is equivalent to the result obtained by subtracting the 71st time r71 from the time which is the same as the 71st time t71 on the current day, and the 73rd time t73 which is the 72nd time r72 from the state of getting up from the state of sleeping on the next day are shown.

[0226] Here, the 71st time r71 is a predetermined time, and may be, for example, 10 minutes.

[0227] Furthermore, the 72nd time r72 is a predetermined time, and may be, for example, 10 minutes.

[0228] in addition, Figure 14 The "today" shown is the previous day from the perspective of "next day". Figure 14 The "next day" shown is the next day from the perspective of "this day". Figure 14 The "day" shown is the second day based on the "previous day".

[0229] In this example, the information processing device 1 obtains the HRV and the like of the subject person 211 and determines the output timing of the advice based on the HRV and the like.

[0230] For example, in the information processing device 1, when the HRV is lower than a predetermined value, the 72nd time t72, which is earlier than the 71st time t71a on the current day, is set as the recommended output timing. Furthermore, the information processing device 1 sets the 73rd time t73, which is later than the 74th time t74a on the next day, as the recommended output timing.

[0231] Here, as an example, the 71st time t71a of the day is the same as the 71st time t71 which is the sleeping time of the previous day.

[0232] Furthermore, as an example, the 74th time t74a of the next day is the same as the 74th time t74 which is the wake-up time of the current day.

[0233] The 71st time t71a is an example of a first timing that considers only the bedtime until the previous day, and the 72nd time t72 is an example of a second timing that considers one or both of the exercise and HRV of the day with respect to the first timing.

[0234] In addition, the 74th time t74a is an example of a first timing that only considers the wake-up time until the day, and the 73rd time t73 is an example of a second timing that considers one or both of HRV and whether the sleep time relative to the exercise of the day for the first timing.

[0235] Furthermore, the method of setting the second timing in consideration of HRV and the like with respect to the first timing is not limited to this example, and various methods may be used.

[0236] Thus, in this example, the 72nd time t72 or the 73rd time t73 is used as the output timing of the advice.

[0237] The content of the advice provided is, for example, a review of one day's activities.

[0238] In this example, the information processing device 1 uses the previous day's bedtime and the current day's pre-bedtime HRV as input, stores the previous day's bedtime as a criterion, and uses the current day's HRV status a predetermined time before the bedtime as a criterion.

[0239] In addition, the 73rd time t73 in the seventh mode may be the same as the 62nd time t62 in the sixth mode, for example.

[0240] In this example, when the HRV of the subject 211 is low, the subject 211 is considered to be alert, and when the HRV of the subject 211 is high, the subject 211 is considered to be not alert.

[0241] Figure 15 This is a diagram showing an example of a graph indicating the trend of the 8A mode according to the embodiment.

[0242] The 8A pattern is an example of a pattern for determining the necessary sleep time in the 8th pattern.

[0243] In this graph, the horizontal axis represents time, and the vertical axis represents the pulse rate value [bpm].

[0244] This graph shows the 8th characteristic P8A indicating the relationship between time and pulse rate.

[0245] In addition, the graph shows an 81A-th value V81A and an 82A-th value V82A, which represent pulse rate values ​​and serve as threshold values.

[0246] Here, the 82A-th value V82A is greater than the 81A-th value V81A.

[0247] As an example, the 81A-th value V81A is 120 [bpm], and the 82A-th value V82A is 140 [bpm].

[0248] 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, any one of two or more predetermined times may be set as the required sleep time.

[0249] As a specific example, if the maximum heart rate intensity of subject 211 during a predetermined period is less than 81A value V81A, information processing device 1 sets the required sleep time to 7 hours. If the maximum heart rate intensity exceeds 81A value V81A but is less than 82A value V82A, information processing device 1 sets the required sleep time to 8 hours. If the maximum heart rate intensity exceeds 82A value V82A, information processing device 1 sets the required sleep time to a predetermined time longer than 8 hours. This predetermined time may be, for example, 9 hours.

[0250] exist Figure 15 In the example, for the sake of convenience, it is assumed that the prescribed period is from the 81A time t81A to the 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. Figure 15 In the example of , the length of the predetermined period is the 81Ath time r81A.

[0251] Furthermore, as another example, the information processing device 1 may calculate a predetermined calculation formula for calculating the required sleep time using the maximum heart rate intensity as a parameter, thereby obtaining and setting the required sleep time that can be continuously changed.

[0252] In this example, the information processing device 1 uses the pulse rate as an input and uses the value of the maximum value of the pulse rate as a judgment criterion.

[0253] Here, generally speaking, when there is no arrhythmia, the heart rate and the pulse rate are consistent, and the maximum heart rate intensity is consistent with the maximum value of the pulse rate.

[0254] As another example, the heart rate or the like may be used instead of the pulse rate.

[0255] Figure 16 This is a diagram showing an example of a graph indicating a trend in the 8B mode of the embodiment.

[0256] The 8B pattern is an example of a pattern indicating the output timing of advice in the 8th pattern.

[0257] In this graph, the horizontal axis represents time, and the vertical axis represents the sleep determination result.

[0258] This graph shows an 8B characteristic P8B indicating the relationship between time and sleep determination results.

[0259] In addition, this graph shows the sleeping state and the waking state as the sleep determination results.

[0260] In the 8B mode, the timing for outputting the advice is when a predetermined time corresponding to the sleep time has passed since the subject 211 got up.

[0261] exist Figure 16 In the example, regarding the 8B characteristic P8B, the sleeping time of the subject 211 is the 81B time r81B. In addition, the 81B time t81B when the 82B time r82B has passed since the subject 211 changed from the sleeping state to the waking state, and the 82B time t82B when the 83B time r83B has passed since the subject 211 changed from the sleeping state to the waking state are shown.

[0262] Here, the 83B time r83B is greater than the 82B time r82B. In other words, the 82B time t82B is later than the 81B time t81B. The 83B time r83B and the 82B time r82B can be set arbitrarily.

[0263] Furthermore, the 81B-th time r81B indicates the sleep time of the subject 211 .

[0264] For example, Figure 16 The prescribed period before sleep in the 8B mode shown is Figure 15 The period of the 8A mode shown in FIG. This predetermined period may be, for example, one day.

[0265] In this example, when the sleep time of the subject 211, i.e., the 81B time r81B, is greater than the prescribed threshold, i.e., the 85th time r85, the information processing device 1 sets the 81B time t81B as the recommended output timing for use. When the sleep time of the subject 211, i.e., the 81B time r81B, is less than the prescribed threshold, i.e., the 85th time r85, the information processing device 1 sets the 82B time t82B as the recommended output timing for use.

[0266] Here, the 85th time r85 is based on Figure 15 The required sleep time set in the illustrated 8A mode is, for example, a sleep time that is considered to be sufficient to recover from fatigue caused by exercise during a predetermined period before sleep. The predetermined period is, for example, one day.

[0267] As a specific example, when the information processing device 1 determines that the subject 211's pre-sleep exercise intensity is high and the sleep time is 8 hours, and the sleep time is 8 hours, the information processing device 1 notifies the advice at the 81B moment t81B after the specified time has passed since the subject 211 got up. On the other hand, when the sleep time is less than 8 hours, the advice is notified at the 82B moment t82B after a time longer than the specified time has passed since the subject 211 got up.

[0268] Thus, in this example, the 81B-th time t81B or the 82B-th time t82B is used as the output timing of the advice.

[0269] The content of the advice provided may be, for example, content related to activities including exercise for the next day.

[0270] In this example, the information processing device 1 uses the sleep time as input and uses as a determination criterion whether the sleep time is equal to or longer than the necessary sleep time.

[0271] Here, in Figure 15 In the example of , the case where exercise intensity is used as an indicator is shown, but as another example, a method of using exercise amount as an indicator instead of exercise intensity may be used, or a method of using a combination of exercise intensity and exercise amount as an indicator may be used.

[0272] In addition, Figure 16 In the example, the 82B time r82B defining the 81B time t81B is a value greater than 0, but as another example, the 82B time r82B may be 0.

[0273] Next, a specific example of the processing performed by the information processing device 1 is described.

[0274] 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 based on the biometric information. The generation unit 113 generates advice corresponding to the state of the subject 211. The output unit 12 outputs the generated advice.

[0275] In this case, the output unit 12 changes the timing of outputting the advice according to the biometric information.

[0276] Therefore, the information processing device 1 can output advice at a timing corresponding to the biological information of the subject person 211 .

[0277] Here, the timing of outputting advice may be determined by referring to information other than biometric information, for example.

[0278] The content of the suggestion is not particularly limited, and various contents can be used.

[0279] In addition, Figure 1 In the example of FIG. 1 , the timing determination unit 114 determines the timing for outputting advice, and the output unit 12 outputs the advice at the timing. However, for example, the function of the timing determination unit 114 may be included in the output unit 12 .

[0280] In the information processing device 1 , biological information is information including at least one of pulsation, SpO 2 , and body temperature.

[0281] Therefore, the information processing device 1 can determine the exercise state of the subject 211 by acquiring any one of the pulse, SpO2, and body temperature of the subject 211, for example.

[0282] In the information processing device 1, the acquisition unit 111 acquires exercise intensity based on the biometric information. When the exercise intensity is greater than a first threshold and less than a second threshold, the determination unit 112 determines that the subject 211 is in a first exercise state. The generation unit 113 generates exercise-related advice based on the first exercise state. After a predetermined first time has elapsed since the first exercise state was determined, the output unit 12 outputs the exercise-related advice.

[0283] Therefore, in the information processing device 1, suggestions can be given after warming up and before exercising. For example, when the subject 211 has warmed up, suggestions related to the next exercise can be generated and output, thereby prompting the subject 211 with suggestions on what to do next.

[0284] Here, in this example, for example, Figure 7 The first mode is shown.

[0285] For example, exercise intensity is obtained based on pulse rate, heart rate zone, and the like.

[0286] The first exercise state is, for example, a warm-up state.

[0287] exist Figure 7 In the example of , 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.

[0288] exist Figure 7 In the example of , the first time r1 is an example of the first time. In addition, the first time is a value greater than 0.

[0289] In the information processing device 1 , the first predetermined time when the maximum value of the exercise intensity is close to the first threshold value of the first exercise intensity is shorter than the first predetermined time when the maximum value of the exercise intensity is close to the second threshold value of the second exercise intensity.

[0290] Therefore, the information processing device 1 can change the timing of outputting advice based on exercise intensity, for example, enabling advice to be presented at an appropriate timing. For example, the lower the maximum exercise intensity, the shorter the rest period after warm-up and before advice, while the higher the maximum exercise intensity, the longer the rest period after warm-up and before advice.

[0291] Here, in this example, for example, Figure 7 The first mode is shown.

[0292] exist Figure 7 In the example of , the third value V3 is an example of the maximum value of the exercise intensity.

[0293] In this embodiment, the timing determination unit 114 changes the first time according to the maximum value of the exercise intensity.

[0294] In information processing device 1, when the exercise intensity is greater than or equal to the second threshold, determination unit 112 determines that subject 211 is in the second exercise state. Generation unit 113 generates advice regarding activities including exercise based on subject 211's second exercise state. Output unit 12 outputs the advice regarding the activity at a second timing, either earlier or later than the first timing, based on the first and second exercise states.

[0295] Therefore, the information processing device 1 can vary the timing of advice on daily activities according to the load of the subject 211 during exercise. For example, advice on daily activities can be presented according to the load of the subject 211 .

[0296] The load conditions during exercise include, for example, the load conditions in the first exercise state and the load conditions in the second exercise state. The load conditions may also be determined based on, for example, time or intensity.

[0297] Here, in this example, for example, Figure 14 The 7th mode is shown.

[0298] The second exercise state is, for example, an exercise state.

[0299] exist Figure 14 In the example of , the sleep state of the subject 211 on that day becomes a value corresponding to the first exercise state and the second exercise state, that is, a value corresponding to a state in which warm-up and exercise are combined.

[0300] The activities are not particularly limited, and may include various activities performed by the subject 211, such as exercise, sleep, and diet.

[0301] In the information processing device 1 , the advice regarding activities includes advice for promoting sleep for the subject 211 .

[0302] Therefore, in the information processing device 1 , advice on activities may include advice on sleep. For example, advice on sleep may be presented according to the load of the subject 211 .

[0303] Here, in this example, for example, Figure 14 The 7th mode is shown.

[0304] In information processing device 1, the detection unit detects the movement of subject 211. Storage unit 14 stores information related to subject 211's sleep. Acquisition unit 111 acquires subject 211's bedtime or wake-up time based on subject 211's movement and biological information. Storage unit 14 stores subject 211's bedtime or wake-up time from the previous day. The second timing is a timing corresponding to subject 211's bedtime or wake-up time from the previous day.

[0305] Therefore, in the information processing device 1, the second timing is a timing based on the usual bedtime or waking time of the subject 211. For example, it is possible to output suggestions earlier than the bedtime which is the usual sleeping time of the subject 211, or to output suggestions later than the usual waking time of the subject 211.

[0306] Here, in this embodiment, the motion sensor C3 is an example of a detection unit that detects the motion of the subject person 211 .

[0307] In addition, as the bedtime or wake-up time of the subject 211 until the previous day, for example, the bedtime or wake-up time of the previous day or another day, or the average of the bedtime or wake-up time of multiple days until the previous day may be used.

[0308] Here, in this example, for example, Figure 14 The 7th mode is shown.

[0309] 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. When the exercise intensity is greater than the second threshold value, the determination unit 112 determines that the state of the subject 211 is the second exercise state. The generation unit 113 generates advice on 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 of the subject 211 and the 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 exercise intensity of the day including the exercise intensity in the first exercise state and the second exercise state. When it is determined that the sleep time is insufficient, the output unit 12 outputs advice on activities including exercise for the next day at a fourth timing later than the third timing at which the sleep time is determined to be sufficient.

[0310] Therefore, in the information processing device 1 , the output timing of the advice when waking up can be changed according to the exercise intensity and the sleep time. For example, when the sleep time is insufficient for the exercise intensity, the output timing of the advice can be delayed.

[0311] Here, in this example, for example, Figure 15 and Figure 16 The 8th mode is shown.

[0312] exist Figure 15 In the example of , the required sleep time is calculated based on the daily exercise intensity including the exercise intensity in the warm-up and training state one day before the next day.

[0313] exist Figure 16 In the example of , on the second day, the 81B time t81B is an example of the third timing, and the 82B time t82B is an example of the fourth timing.

[0314] In information processing device 1, when the exercise intensity is greater than or equal to the second threshold, determination unit 112 determines that subject 211 is in the second exercise state. Generation unit 113 generates a suggestion promoting different exercise based on subject 211's second exercise state. When the exercise intensity in the second exercise state meets a predetermined intensity, output unit 12 outputs the suggestion promoting different exercise.

[0315] Therefore, the information processing device 1 can provide advice on changing exercise at an appropriate timing according to the exercise state of the subject 211 . For example, it can provide advice on reducing exercise intensity just after reaching a predetermined exercise intensity during exercise.

[0316] Here, in this example, for example, it can also be applied Figure 8 The second mode shown is a mode in which exercise intensity is used instead of calorie consumption during exercise.

[0317] In information processing device 1, generation unit 113 generates advice regarding exercise review based on the first exercise state and the second exercise state. Output unit 12 outputs the advice regarding exercise review after a predetermined second time has elapsed after determining that exercise intensity has changed from a second threshold value to less than the first threshold value.

[0318] Therefore, in the information processing device 1 , it is possible to present advice on the entire exercise at an appropriate timing. For example, it is possible to present advice on the entire exercise after a workout.

[0319] Here, in this example, it can also be applied to Figure 9 The illustrated 3A mode sets the time after the second time has passed from the 31A time as the recommended output timing. The second time is a value greater than 0, but the 3A mode can be applied when the second time is 0.

[0320] Likewise, in this example, it can also be applied to Figure 10The illustrated 3B mode sets the time after the second time has passed from the 31B time as the recommended output timing. The second time is a value greater than 0, but the 3B mode can be applied even when the second time is 0.

[0321] In information processing device 1 , the predetermined second time when acquisition unit 111 acquires exercise intensity 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 acquisition unit 111 does not acquire exercise intensity greater than or equal to the second threshold and greater than or equal to the third threshold.

[0322] Therefore, in the information processing device 1 , it is possible to present advice at an appropriate timing, and for example, the timing of outputting advice can be changed according to the intensity of exercise.

[0323] Here, in this example, it can also be applied to Figure 9 In the illustrated 3A pattern, the time after the second time period has elapsed from the 31A time t31A is used as the recommended output timing. In this case, for example, the 34th value V34 is an example of the third threshold value, but other values ​​may be used as the third threshold value.

[0324] Likewise, in this example, it can also be applied to Figure 10 In the illustrated 3B pattern, a time point after the second time period has elapsed from the 31B time point t31B is set as the output timing of the advice.

[0325] In the information processing device 1, the acquisition unit 111 acquires the amount of exercise based on the biometric information. When the amount of exercise reaches the first amount of exercise, the determination unit 112 determines that the subject 211 is in the first exercise state. The generation unit 113 generates exercise-related advice based on the first exercise state. After a predetermined third time has passed since the first exercise state was determined, the output unit 12 outputs the exercise-related advice.

[0326] Therefore, in the information processing device 1 , for example, when the subject 211 has warmed up, advice regarding the next exercise can be generated and output, thereby providing advice on what the subject 211 should do next.

[0327] Here, in this example, for example, it can also be applied Figure 7 The first mode shown is a mode in which the amount of exercise is used instead of the pulse rate. For example, the amount of exercise may be the amount of calories burned during exercise.

[0328] Furthermore, the first exercise amount when the exercise amount is used as in this example may be set as a value for determining the state of warm-up, similar to the first threshold value when the exercise intensity is used.

[0329] Furthermore, the predetermined third time period when the amount of exercise is used as in this example may be set to various values, similarly to the predetermined first time period when the exercise intensity is used.

[0330] Furthermore, as another example, a method of combining both the amount of exercise and the intensity of exercise may be used.

[0331] In information processing device 1, when the amount of exercise is greater than or equal to a second amount of exercise that is greater than the first amount of exercise, determination unit 112 determines that the state of subject 211 is the second exercise state. Generation unit 113 generates advice related to an activity including exercise based on subject 211's second exercise state. Output unit 12 outputs this advice related to the activity at a sixth timing that is earlier or later than the fifth timing, based on the first and second exercise states.

[0332] Therefore, the information processing device 1 can vary the timing of advice on daily activities according to the load of the subject 211 during exercise. For example, advice on daily activities can be presented according to the load of the subject 211 .

[0333] Here, in this example, for example, Figure 14 The 7th mode is shown.

[0334] In addition, the second exercise amount when the exercise amount is used as in this example may be set as a value for determining the state of exercise, similarly to the second threshold value when the exercise intensity is used.

[0335] Furthermore, the fifth timing and the sixth timing when the amount of exercise is used as in this example may be set to various values, similarly to the first timing and the second timing when the intensity of exercise is used.

[0336] Furthermore, as another example, a method of combining both the amount of exercise and the intensity of exercise may be used.

[0337] Here, when using exercise intensity and when using exercise amount, for example, the calculation formula for calculating the value for determining the first exercise state and the second exercise state is different. This calculation formula may be, for example, a calculation formula with exercise intensity as a parameter or a calculation formula with exercise amount as a parameter. As another example, it may be a calculation formula with both exercise intensity and exercise amount as parameters. In addition, these calculation formulas may also include parameters other than exercise intensity and exercise amount.

[0338] In the information processing device 1 , advice regarding activities includes advice for promoting sleep of the subject 211 .

[0339] Therefore, in the information processing device 1 , advice on activities may include advice on sleep. For example, advice on sleep may be presented according to the load of the subject 211 .

[0340] Here, in this example, for example, Figure 14 The 7th mode is shown.

[0341] In information processing device 1, the detection unit detects the movement of subject 211. Storage unit 14 stores information related to subject 211's sleep. Acquisition unit 111 acquires subject 211's bedtime or wake-up time based on subject 211's movement and biological information. Storage unit 14 stores subject 211's bedtime or wake-up time from the previous day. The sixth timing corresponds to subject 211's bedtime or wake-up time from the previous day.

[0342] Therefore, in the information processing device 1, the sixth timing is a timing based on the usual bedtime or waking time of the subject 211. For example, it is possible to output suggestions earlier than the bedtime which is the usual sleeping time of the subject 211, or to output suggestions later than the usual waking time of the subject 211.

[0343] Here, in this example, for example, Figure 14 The 7th mode is shown.

[0344] 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. When the amount of exercise is greater than the second amount of exercise, which is greater than the first amount of exercise, the determination unit 112 determines that the state of the subject 211 is the second exercise state. The generation unit 113 generates advice on activities including exercise for the next day based on the first exercise state and the second exercise state. The acquisition unit 111 acquires the subject 211's wake-up time and the subject 211's sleep time based on the subject 211's movement and biological information. The determination unit 112 determines whether the sleep time is sufficient for the daily exercise amount including the 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 on activities including exercise for the next day at an eighth timing later than the seventh timing based on the subject 211's wake-up time until the previous day.

[0345] Therefore, in the information processing device 1 , the output timing of the advice when waking up can be changed according to the amount of exercise and the amount of sleep. For example, when the amount of sleep is insufficient relative to the amount of exercise, the output timing of the advice can be delayed.

[0346] Here, in this example, for example, it can also be applied Figure 15 and Figure 16 In the 8th mode shown, the 8A mode uses the amount of exercise instead of the pulse rate. For example, the amount of exercise may be the calorie consumption during exercise.

[0347] Furthermore, the seventh and eighth timings when the amount of exercise is used as in this example may be set to various values, similarly to the third and fourth timings when the intensity of exercise is used.

[0348] Furthermore, as another example, a method of combining both the amount of exercise and the intensity of exercise may be used.

[0349] In information processing device 1, if the amount of exercise is greater than or equal to a second amount that is greater than the first amount of exercise, determination unit 112 determines that subject 211 is in the second exercise state. Generation unit 113 generates a suggestion promoting different exercise based on subject 211's second exercise state. If the amount of exercise in the second exercise state satisfies a predetermined amount of exercise, output unit 12 outputs the suggestion promoting different exercise.

[0350] Therefore, the information processing device 1 can provide advice on changing exercise at an appropriate timing according to the exercise state of the subject 211 . For example, it can provide advice on reducing exercise amount just after reaching a predetermined amount during exercise.

[0351] Here, in this example, for example, Figure 8 The second mode is shown.

[0352] Furthermore, the predetermined amount of exercise when the amount of exercise is used as in this example may be set to various values, similarly to the predetermined intensity when the intensity of exercise is used.

[0353] Furthermore, as another example, a method of combining both the amount of exercise and the intensity of exercise may be used.

[0354] In information processing device 1, generation unit 113 generates advice regarding exercise review based on the first exercise state and the second exercise state. Output unit 12 outputs the advice regarding exercise review after a predetermined fourth time has elapsed if it is determined that the amount of exercise in the second exercise state has decreased from the amount of exercise in the first exercise state to less than the amount of exercise in the first exercise state.

[0355] Therefore, in the information processing device 1 , it is possible to present advice on the entire exercise at an appropriate timing. For example, it is possible to present advice on the entire exercise after a workout.

[0356] Here, in this example, for example, it can also be applied to Figure 9In the illustrated 3A mode, the amount of exercise is used instead of the pulse rate. For example, the amount of exercise may be the calories burned during exercise per a predetermined unit of time. The predetermined unit may be any value.

[0357] In this case, in this example, for example, it can also be applied to Figure 9 The illustrated 3A mode sets the time after the fourth time elapses from the 31A time as the recommended output timing. The fourth time is a value greater than 0, but the 3A mode can be applied when the fourth time is 0.

[0358] Likewise, in this example, for example, it can also be applied to Figure 10 The 3B mode shown uses the amount of exercise instead of SpO2. For example, the amount of exercise can be expressed as calories burned during exercise per a predetermined unit of time. This predetermined unit can be any value.

[0359] In this case, in this example, for example, it can also be applied to Figure 10 The illustrated 3B mode sets the time after the fourth time elapses from the 31B time as the recommended output timing. The fourth time is a value greater than 0, but the 3B mode can be applied even when the fourth time is 0.

[0360] In the information processing device 1 , the predetermined fourth time corresponding to the first total exercise amount of the first and second exercise states is longer than the predetermined fourth time corresponding to the second total exercise amount having an exercise amount smaller than the first total exercise amount.

[0361] Therefore, in the information processing device 1 , it is possible to present advice at an appropriate timing, and for example, the timing of outputting advice can be changed according to the amount of exercise.

[0362] Here, in this example, it can also be applied to Figure 9 In the illustrated 3A mode, the time after the fourth time elapsed from the 31A time t31A is used as the output timing of the recommendation. In addition, when the amount of exercise is used as in this example, the first total amount of exercise and the second total amount of exercise can also be set to various values, similar to the third threshold value when the exercise intensity is used.

[0363] Likewise, in this example, it can also be applied to Figure 10 In the illustrated 3B pattern, a time point after a fourth time period has elapsed from the 31B time point t31B is set as the output timing of the advice.

[0364] Furthermore, as another example, a method of combining both the amount of exercise and the intensity of exercise may be used.

[0365] In the information processing device 1, biological information includes information on pulsation. The acquisition unit 111 acquires data on heartbeat fluctuations from the biological information. When the data on heartbeat fluctuations undergoes a predetermined change, the output unit 12 outputs advice on activity.

[0366] Therefore, the information processing device 1 can not output advice when the subject 211's head is not awake. For example, it can change the timing of outputting advice, such as when waking up, by outputting advice when the subject 211's head is awake, based on HRV or the like.

[0367] Here, in this example, for example, Figure 12 The 5th mode shown or Figure 13 The 6th mode is shown.

[0368] Furthermore, data related to heartbeat fluctuations is calculated in, for example, the time domain or the frequency domain.

[0369] The predetermined change may be, for example, a state of sympathetic nervous system hyperactivity.

[0370] The state of sympathetic nerve hyperactivity can be determined by any one of the first hyperactivity example and the second hyperactivity example described below, or a combination of both.

[0371] The first hyperactivity example is when the deviation of the heartbeat time interval is smaller than a predetermined value. As a specific example, it 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.

[0372] The second hyperactivity case is a situation where the frequency component ratio of the heartbeat is less than a specified value. As a specific example, it is a situation where the balance between LF (Low Frequency) representing the sympathetic nerves and HF (Hi Frequency) representing the parasympathetic nerves, that is, the LF / HF value is large, or the LF value is large.

[0373] As described above, the information processing device 1 of this embodiment can vary the timing of outputting advice to the subject 211 according to the biological information of the subject 211 , thereby outputting advice at an appropriate timing according to the biological state of the subject 211 , for example.

[0374] In the information processing device 1 of this embodiment, for example, the motion state of the subject person 211 is determined based on the biological information obtained from the subject person 211, suggestions are generated based on the motion state of the subject person 211, and the timing of outputting suggestions to the subject person 211 is changed according to the biological information, thereby prompting suggestions to the subject person 211 at an appropriate time.

[0375] As a specific example, the information processing device 1 of this embodiment infers a state suitable for receiving advice based on the biological information of subject 211 during exercise or other periods, and outputs advice at the timing when subject 211 is in the inferred state. Consequently, the information processing device 1 of this embodiment enables, for example, subject 211 to hear advice in a state where it is easy to hear, thereby assisting subject 211 in exercise. Furthermore, the information processing device 1 of this embodiment can present advice tailored to subject 211's energy level, for example.

[0376] Here, as in the previous technology, in a structure that only obtains the player's body movement information and the dynamic information of the equipment, and determines the timing of the suggestion only by the player's movement, for example, if the player's movement is the same, the suggestion is output at the same time regardless of the player's physical and mental state, so the situation of not being optimal in the timing of outputting the suggestion is taken into consideration.

[0377] In contrast, in this embodiment, for example, when the physical and mental state of subject 211 is suitable for obtaining the advice, the advice is output, making it easier for subject 211 to accept the advice. Furthermore, various states such as a good state, a normal state, or a poor state can be used as the physical and mental state of subject 211.

[0378] The program for realizing the functions of any component in any of the devices described above may also be recorded on a computer-readable recording medium so that the computer system reads the program and executes it. The "computer system" mentioned here includes hardware such as an operating system or peripheral devices. "Computer-readable recording medium" is a removable medium such as a floppy disk, a magneto-optical disk, a ROM (Read Only Memory), a CD (Compact Disc)-ROM, or a storage device such as a hard disk built into the computer system. "Computer-readable recording medium" also includes a medium that stores a program for a certain period of time, such as a volatile memory inside a computer system that becomes a server or client when a program is sent via a network such as the Internet or a communication line such as a telephone line. The volatile memory may also be a RAM (Random Access Memory). The recording medium may also be a non-temporary recording medium.

[0379] The above-mentioned program can also be transmitted from a computer system storing 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" for transmitting the program refers to a medium having the function of transmitting information, such as a network such as the Internet or a communication line such as a telephone line.

[0380] The above program can also be used to implement part of the above functions. The above program can also be a so-called differential file that can implement the above functions by combining it with a program already recorded in the computer system. The differential file can also be called a differential program.

[0381] The functions of any structural part in any of the devices described above can also be implemented by a processor. Each process in the embodiment can also be implemented by a processor that acts based on information such as a program and a computer-readable recording medium that stores information such as a program. The functions of each part of the processor can be implemented by separate hardware, or the functions of each part can also be implemented by integrated hardware. The processor includes hardware, and the hardware can include at least one of a circuit for processing digital signals and a circuit for processing analog signals. The processor can also be composed of one or more circuit devices mounted on a circuit substrate, or one or both of one or more circuit elements. As a circuit device, an IC (Integrated Circuit) can be used, and as a circuit element, a resistor or a capacitor can be used.

[0382] The processor may also be a CPU. However, the processor is not limited to the CPU, and various processors such as a GPU (Graphics Processing Unit) or a DSP (Digital Signal Processor) may also be used. The processor may also be a hardware circuit based on an ASIC (Application Specific Integrated Circuit). The processor may be composed of multiple CPUs, or may be composed of a hardware circuit based on multiple ASICs. The processor may also be composed of a combination of multiple CPUs and hardware circuits based on multiple ASICs. The processor may also include one or more amplifier circuits or filter circuits for processing analog signals.

[0383] As mentioned above, although embodiment is demonstrated in detail with reference to drawings, a specific structure is not limited to this embodiment, and also includes the design etc. which do not deviate from the scope of the summary of this disclosure.

[0384] (Note)

[0385] <Configuration Example 1> to <Configuration Example 22> are shown below.

[0386] Furthermore, with respect to the upper configuration example, the lower configuration example may or may not be applied.

[0387] In addition, a lower-level structural example that can be applied to any one of two or more upper-level structural examples can also be applied to any structural example of the two or more upper-level structural examples. Furthermore, when more than two application examples are generated in this way, a structural example lower than the lower-level structural example can also be applied to any application example of these two or more application examples.

[0388] <Structural Example 1>

[0389] An information processing device comprises: an acquisition unit that acquires biometric information of a subject; a determination unit that determines a state of the subject based on the biometric information; a generation unit that generates advice corresponding to the state of the subject; and an output unit that outputs the generated advice, wherein the output unit varies the timing of outputting the advice based on the biometric information.

[0390] <Structural Example 2>

[0391] The information processing device according to Structural Example 1, wherein the biological information is information including at least one of pulsation, SpO2, and body temperature.

[0392] <Structural Example 3>

[0393] According to the information processing device described in structural example 1 or structural example 2, the acquisition unit acquires exercise intensity based on the biological information, and when the exercise intensity is greater than a first threshold and less than a second threshold, the determination unit determines the state of the subject as a first exercise state, the generation unit generates exercise-related suggestions based on the first exercise state, and after a specified first time has passed since the first exercise state was determined, the output unit outputs the exercise-related suggestions.

[0394] <Structural Example 4>

[0395] An information processing device according to Structural Example 3, wherein the prescribed first time 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 prescribed first time in the case of a second exercise intensity in which the maximum value of the exercise intensity is close to the second threshold.

[0396] <Structural Example 5>

[0397] According to the information processing device described in structural example 4, when the exercise intensity is greater than the second threshold value, the determination unit determines the state of the subject person as a second exercise state, the generation unit generates suggestions related to activities including exercise based on the second exercise state of the subject person, and the output unit outputs the suggestions related to the activity at a second time that is earlier or later than the first time based on the first exercise state and the second exercise state.

[0398] <Structural Example 6>

[0399] The information processing device according to Structural Example 5, wherein the advice regarding the activity includes advice on promoting sleep of the subject.

[0400] <Structural Example 7>

[0401] The information processing device according to structural example 6 comprises: a detection unit that detects the movement of the subject person; and a storage unit that stores information related to the sleep of the subject person, the acquisition unit acquires the bedtime or waking time of the subject person based on the movement of the subject person and the biological information, the storage unit stores the bedtime or waking time of the subject person up to the previous day, and the second timing is a timing corresponding to the bedtime or waking time of the subject person up to the previous day.

[0402] <Structural Example 8>

[0403] The information processing device according to structural example 4 comprises: a detection unit for detecting the movement of the subject; and a storage unit for storing information related to the sleep of the subject, wherein when the exercise intensity is above a second threshold value, the determination unit determines that the state of the subject is a second exercise state, the generation unit generates suggestions related to activities including exercise on the next day based on the first exercise state and the second exercise state, the acquisition unit acquires the subject's waking time and the subject's sleeping time based on the subject's movement and the biological information, the determination unit determines whether the sleep time is sufficient for the exercise intensity of the day including the exercise intensity in the first exercise state and the second exercise state, and when it is determined that the sleep time is insufficient, the output unit outputs the suggestions related to activities including exercise on the next day at a fourth timing later than the third timing at which the sleep time is determined to be sufficient.

[0404] <Structural Example 9>

[0405] According to the information processing device described in structural example 4, when the exercise intensity is greater than a second threshold value, the judgment unit judges the state of the subject as a second exercise state, the generation unit generates suggestions for promoting different exercises based on the second exercise state of the subject, and when the exercise intensity of the second exercise state meets a specified intensity, the output unit outputs the suggestions for promoting different exercises.

[0406] <Structural Example 10>

[0407] An information processing device according to structural example 9, wherein the generating unit generates suggestions related to reviewing the exercise based on the first exercise state and the second exercise state, and when it is determined that the exercise intensity changes from above the second threshold to below the first threshold after a prescribed second time has passed, the output unit outputs the suggestions related to reviewing the exercise.

[0408] <Structural Example 11>

[0409] An information processing device according to structural example 10, wherein the prescribed second time when the acquisition unit obtains the exercise intensity that is greater than the second threshold and greater than the third threshold is longer than the prescribed second time when the acquisition unit does not obtain the exercise intensity that is greater than the second threshold and greater than the third threshold.

[0410] <Structural Example 12>

[0411] According to the information processing device described in structural example 1 or structural example 2, the acquisition unit acquires the amount of exercise based on the biological information, and when the amount of exercise becomes a first amount of exercise, the determination unit determines the state of the subject as a first exercise state, the generation unit generates exercise-related suggestions based on the first exercise state, and after a specified third time has passed since the first exercise state was determined, the output unit outputs the exercise-related suggestions.

[0412] <Structural Example 13>

[0413] According to the information processing device described in structural example 12, wherein, when the exercise amount is greater than a second exercise amount that is greater than the first exercise amount, the determination unit determines the state of the subject person as a second exercise state, the generation unit generates suggestions related to activities including exercise based on the second exercise state of the subject person, and the output unit outputs the suggestions related to the activity at a sixth timing that is earlier or later than the fifth timing based on the first exercise state and the second exercise state.

[0414] <Structural Example 14>

[0415] The information processing device according to Structural Example 13, wherein the advice related to the activity includes advice on promoting sleep of the subject.

[0416] <Structural Example 15>

[0417] The information processing device according to structural example 14 comprises: a detection unit that detects the movement of the subject person; and a storage unit that stores information related to the sleep of the subject person, the acquisition unit acquires the bedtime or waking time of the subject person based on the movement of the subject person and the biological information, the storage unit stores the bedtime or waking time of the subject person up to the previous day, and the sixth timing is a timing corresponding to the bedtime or waking time of the subject person up to the previous day.

[0418] <Structural Example 16>

[0419] The information processing device according to structural example 12 comprises: a detection unit which detects the movement of the subject; and a storage unit which stores information related to the sleep of the subject, wherein when the amount of exercise is greater than a second amount of exercise which is greater than the first amount of exercise, the determination unit determines that the state of the subject is a second exercise state, the generation unit generates suggestions related to activities including exercise for the next day based on the first exercise state and the second exercise state, the acquisition unit acquires the subject's getting-up time and the subject's sleeping time based on the subject's movement and the biological information, the determination unit determines whether the sleep time is sufficient for the amount of exercise for one day including the amount of exercise in the first exercise state and the second exercise state, and when it is determined that the sleep time is insufficient, the output unit outputs the suggestions related to activities including exercise for the next day at an eighth timing which is later than the seventh timing based on the subject's getting-up time up to the previous day.

[0420] <Structural Example 17>

[0421] An information processing device according to structural example 12, wherein, when the amount of exercise is greater than a second amount of exercise that is greater than the first amount of exercise, the determination unit determines the state of the subject person as a second exercise state, the generation unit generates a suggestion to promote different exercise based on the second exercise state of the subject person, and when the amount of exercise in the second exercise state satisfies a prescribed amount of exercise, the output unit outputs the suggestion to promote different exercise.

[0422] <Structural Example 18>

[0423] An information processing device according to structural example 17, wherein the generating unit generates suggestions related to the review of the exercise based on the first motion state and the second motion state, and the output unit outputs the suggestions related to the review of the exercise after a prescribed fourth time has passed when it is determined that the amount of exercise in the second motion state has changed to an amount less than the amount of exercise in the first motion state.

[0424] <Structural Example 19>

[0425] An information processing device according to structural example 18, wherein the prescribed fourth time corresponding to the first total motion amount of the first motion state and the second motion state is longer than the prescribed fourth time corresponding to the second total motion amount whose motion amount is less than the first total motion amount.

[0426] <Structural Example 20>

[0427] According to the information processing device described in structural example 4, wherein the biological information includes information related to pulsation, the acquisition unit obtains data related to heartbeat changes based on the biological information, and when the data related to the heartbeat changes undergoes a specified change, the output unit outputs suggestions related to activities.

[0428] For example, it is possible to provide a method for performing information processing similar to that performed by an information processing device.

[0429] <Structural Example 21>

[0430] An information processing method, wherein an acquisition unit acquires biometric information of a subject, a determination unit determines the subject's status based on the biometric information, a generation unit generates advice corresponding to the subject's status, and an output unit outputs the generated advice. In this case, the timing of outputting the advice is different depending on the biometric information.

[0431] For example, a recording medium recording a program having a function of performing information processing similar to that performed by an information processing device can be provided. This program is a computer program.

[0432] <Structural Example 22>

[0433] A recording medium records a program that causes a computer to implement the following functions: an acquisition function for acquiring biometric information of a subject; a determination function for determining the subject's status based on the biometric information; a generation function for generating advice corresponding to the subject's status; and an output function for outputting the generated advice, in which case the timing of outputting the advice varies depending on the biometric information.

Claims

1. An information processing device comprising: an acquisition unit for acquiring biological information of a target person; a determination unit configured to determine a state of the subject based on the biometric information; a generating unit that generates advice according to the state of the subject; and an output unit that outputs the generated suggestion, The output unit varies the timing of outputting the advice according to the biometric information.

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

3. The information processing device according to claim 2, wherein: The acquiring unit acquires exercise intensity based on the biological information, When the exercise intensity is equal to or greater than a first threshold value and less than a second threshold value, the determination unit determines that the subject's state is a first exercise state. The generating unit generates exercise-related 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.

4. The information processing device according to claim 3, wherein: The predetermined first time when the maximum value of the exercise intensity is close to a first exercise intensity of the first threshold is shorter than the predetermined first time when the maximum value of the exercise intensity is close to a second exercise intensity of a second threshold.

5. The information processing apparatus according to claim 4, wherein: When the exercise intensity is equal to or greater than the second threshold, the determination unit determines that the subject's state is a second exercise state. The generating unit generates advice on activities including exercise based on the second exercise state of the subject, The output unit outputs the advice related to the activity at a second timing that is earlier or later than the first timing according to the first movement state and the second movement state. The information processing apparatus according to claim 5 , wherein: The activity-related suggestions include suggestions for promoting sleep for the subject.

7. The information processing apparatus according to claim 6, wherein: The information processing device comprises: a detection unit that detects a movement of the subject person; and a storage unit storing information related to the subject's sleep, The acquisition unit acquires the bedtime or wake-up time of the subject based on the subject's movements and the biological information, The storage unit stores the bedtime or the wake-up time of the subject until the previous day, The second timing is a timing corresponding to the bedtime or the waking time of the subject person until the previous day.

8. The information processing apparatus according to claim 4, wherein: The information processing device comprises: a detection unit that detects a movement of the subject person; and a storage unit storing information related to the subject's sleep, When the exercise intensity is equal to or greater than a second threshold, the determination unit determines that the subject's state is a second exercise state. The generating unit generates a suggestion regarding an activity including exercise for the next day based on the first exercise state and the second exercise state. The acquisition unit acquires the subject's waking time and the subject's sleeping time based on the subject's movements and the biological information. The determination unit determines whether the sleep time is sufficient for the daily exercise intensity including the exercise intensity in the first exercise state and the second exercise state. If it is determined that the sleep time is insufficient, the output unit outputs the advice on the next day's activity including exercise at a fourth timing later than the third timing at which it is determined that the sleep time is sufficient.

9. The information processing apparatus according to claim 4, wherein: When the exercise intensity is equal to or greater than a second threshold, the determination unit determines that the subject's state is a second exercise state. The generating unit generates a suggestion to promote different exercise based on the second exercise state of the subject. When the exercise intensity of the second exercise state satisfies a predetermined intensity, the output unit outputs the advice for promoting different exercise.

10. The information processing apparatus according to claim 9, wherein: The generating unit generates advice related to reviewing the exercise based on the first exercise state and the second exercise state. The output unit outputs the advice regarding the review of the exercise after a predetermined second time period has elapsed when it is determined that the exercise intensity has changed from the second threshold to less than the first threshold. The information processing apparatus according to claim 10 , wherein: The predetermined second time when the acquisition unit acquires the exercise intensity equal to or greater than the second threshold and the third threshold is longer than the predetermined second time when the acquisition unit does not acquire the exercise intensity equal to or greater than the second threshold and the third threshold.

12. The information processing apparatus according to claim 2, wherein: The acquisition unit acquires the amount of exercise based on the biological information, When the amount of exercise reaches a first amount of exercise, the determination unit determines that the subject's state is a first exercise state. The generating unit generates exercise-related advice based on the first exercise state, The output unit outputs the advice related to exercise after a predetermined third time has elapsed since the first exercise state was determined.

13. The information processing apparatus according to claim 12, wherein: When the exercise amount is equal to or greater than a second exercise amount that is greater than the first exercise amount, the determination unit determines that the subject's state is a second exercise state. The generating unit generates advice on activities including exercise based on the second exercise state of the subject, The output unit outputs the advice related to the activity at a sixth timing that is earlier or later than a fifth timing based on the first movement state and the second movement state. The information processing apparatus according to claim 13 , wherein: The activity-related suggestions include suggestions for promoting sleep for the subject.

15. The information processing apparatus according to claim 14, wherein: The information processing device comprises: a detection unit that detects a movement of the subject person; and a storage unit storing information related to the subject's sleep, The acquisition unit acquires the bedtime or wake-up time of the subject based on the subject's movements and the biological information, The storage unit stores the bedtime or the wake-up time of the subject until the previous day, The sixth timing is a timing corresponding to the bedtime or the waking time of the subject person until the previous day.

16. The information processing apparatus according to claim 12, wherein: The information processing device comprises: a detection unit that detects a movement of the subject person; and a storage unit storing information related to the subject's sleep, When the exercise amount is equal to or greater than a second exercise amount that is greater than the first exercise amount, the determination unit determines that the subject's state is a second exercise state. The generating unit generates a suggestion regarding an activity including exercise for the next day based on the first exercise state and the second exercise state. The acquisition unit acquires the subject's waking time and the subject's sleeping time based on the subject's movements and the biological information. The determination unit determines whether the sleep time is sufficient for a daily exercise amount including the exercise amount in the first exercise state and the second exercise state. If it is determined that the sleep time is insufficient, the output unit outputs the advice regarding the next day's activity including exercise at an eighth timing later than a seventh timing based on the subject's waking time the previous day.

17. The information processing apparatus according to claim 12, wherein: When the exercise amount is equal to or greater than a second exercise amount that is greater than the first exercise amount, the determination unit determines that the subject's state is a second exercise state. The generating unit generates a suggestion to promote different exercise based on the second exercise state of the subject. The output unit outputs the advice for promoting different exercise when the exercise amount in the second exercise state satisfies a prescribed exercise amount.

18. The information processing apparatus according to claim 17, wherein: The generating unit generates advice related to reviewing the exercise based on the first exercise state and the second exercise state. The output unit outputs the advice regarding the review of the exercise after a predetermined fourth time has elapsed when it is determined that the exercise amount in the second exercise state has changed to an exercise amount less than or equal to the exercise amount in the first exercise state.

19. The information processing apparatus according to claim 18, wherein: The prescribed fourth time corresponding to a first total movement amount of the first movement state and the second movement state is longer than the prescribed fourth time corresponding to a second total movement amount having a movement amount smaller than the first total movement amount.

20. The information processing apparatus according to claim 4, wherein: The biological information includes information related to pulsation, The acquisition unit acquires data related to heartbeat fluctuations based on the biological information. The output unit outputs advice on activity when a predetermined change occurs in the data related to the heart rate fluctuation.

21. An information processing method, wherein: The acquisition unit acquires the biological information of the target person, The determination unit determines the state of the subject based on the biometric information. The generating unit generates advice according to the state of the subject, The output unit outputs the generated advice. In this case, the timing of outputting the advice is changed according to the biometric information.

22. A recording medium recording a program The program enables the computer to implement the following functions: Acquisition function, obtaining biological information of the subject; a determination function for determining the state of the subject based on the biometric information; a generating function for generating a suggestion corresponding to the state of the subject; and The output function outputs the generated advice. In this case, the timing of outputting the advice is changed according to the biometric information.

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