JP2018033565A - Exercise support system, exercise support method, and exercise support device - Google Patents

Abstract

Kind Code: A1 An exercise support system, an exercise support method, and an exercise support device that enable a user to check a degree of fatigue and a recovery state during training, and to support overtraining and failures to support effective training. I will provide a. An exercise support system includes a fatigue information acquisition unit that acquires fatigue information regarding a current fatigue state of a user, and a recovery period calculation unit that calculates a recovery period necessary for improving the current fatigue state. And a load information calculating unit 312 that calculates load information representing an exercise load based on the user's pulse information when the user is exercising, and based on the load information, the fatigue level information, and the recovery period. And a notifying unit 320 for notifying the user. [Selection diagram] FIG.

Description

  The present invention relates to an exercise support system, an exercise support method, and an exercise support device.

  In recent years, an increasing number of people participate in various sporting events such as marathon competitions, and daily training is conducted with the aim of improving results and records. Training is performed for the purpose of improving physical strength and athletic ability. However, excessive fatigue (load) due to training may cause overtraining or failure. Therefore, an apparatus and a system for supporting physical condition management of a person who performs training (user) are provided (for example, see Patent Document 1).

  Patent Document 1 discloses an apparatus that calculates a recovery amount, which is an amount of activity recovered by a user, from the depth of sleep during the user's sleep. The device described in Patent Document 1 calculates the depth of sleep from the body state during sleep such as a user's heartbeat and breathing, and among the calculated depth of sleep, deep sleep corresponding to sleep stage 4 is calculated. The amount of recovery is calculated from multiplication with the ratio of REM sleep or the cumulative time of REM sleep. This allows the user to estimate the current recovery state after performing training.

WO2013 / 161072 gazette

  However, with the apparatus described in Patent Document 1, it is difficult to grasp the recovery period for the current load during training, and the user must perform training while confirming the recovery state. For this reason, there is a problem that the load becomes excessive and causes overtraining or failure, and conversely, there is a case where the load is insufficient and a sufficient training effect cannot be obtained.

  SUMMARY An advantage of some aspects of the invention is to solve at least a part of the problems described above, and the invention can be implemented as the following forms or application examples.

  Application Example 1 An exercise support system according to this application example includes a fatigue level information acquisition unit that acquires fatigue level information related to a user's fatigue state, and a recovery period calculation unit that calculates a recovery period necessary for improving the fatigue state And when the user is exercising, a load information calculating unit that calculates load information representing the exercise load based on the pulse information of the user, the load information, the fatigue information, and the A notification unit that notifies the user based on a recovery period.

  According to the configuration of this application example, the fatigue level information of the user acquired by the fatigue level information acquisition unit, the recovery period required for improvement of the fatigue state calculated by the recovery period calculation unit, and when the exercise is performed The notification unit notifies the user based on the load information calculated by the load information calculation unit based on the user's pulse information. Therefore, the user can know the exercise load, the degree of fatigue, and the recovery period during the training. This makes it possible for the user to adjust the exercise load and execution time in consideration of the recovered state of fatigue during the training. As a result, the user can perform effective training while preventing overtraining and breakdown.

  Application Example 2 In the exercise support system according to the application example described above, a notification condition determination unit that determines a notification condition for executing notification to the user based on the fatigue level information and the recovery period. Preferably, the notification unit notifies the user when the load information satisfies the notification condition.

  According to the configuration of this application example, the notification condition determination unit determines a notification condition for executing notification to the user based on the fatigue level information and the recovery period. Then, when the load information when the exercise is performed satisfies the notification condition, the notification unit notifies the user. Therefore, the user can know that the notification condition is satisfied for the degree of fatigue and the recovery period due to the exercise load being performed without performing an operation or the like during the training.

  Application Example 3 In the exercise support system according to the application example described above, it is preferable that the notification condition includes at least one of an upper limit value, a target value, and a predetermined range related to the load information.

  According to the configuration of this application example, during the training, the user confirms that the exercise load being performed satisfies at least one of the upper limit value, the target value, and an appropriate range. I can know. Thus, the user can perform exercise with an appropriate load so that the load due to training does not become excessive or insufficient.

  Application Example 4 In the exercise support system according to the application example, the notification unit notifies the user of the time or distance required to reach the upper limit value when the exercise load continues. It is preferable.

  According to the configuration of this application example, the user can check the time or distance required for the exercise load being performed to reach the upper limit value during the training. As a result, the user can exercise so as not to overtrain.

  Application Example 5 In the exercise support system according to the application example described above, when the fatigue level information is equal to or greater than a predetermined value when the start of the exercise of the user is detected, the notification unit It is preferable to notify at least one of the fatigue level information, the recovery period, or the notification condition.

  According to the configuration of this application example, when the user starts training, the degree of fatigue at that time is equal to or greater than a predetermined value, and the degree of fatigue, the period necessary for recovery from fatigue, or notification conditions (Upper limit value of load, target value, and predetermined range) can be confirmed. Thereby, the user can adjust the exercise load and the execution time to be performed according to the state of the fatigue level when starting the training.

  [Application Example 6] The exercise support system according to the application example described above, including an event information acquisition unit that acquires event information of an event related to the user, wherein the notification condition determination unit includes the event information, the fatigue level information, It is preferable that the notification condition is determined based on the recovery period.

  According to the configuration of this application example, the notification condition determining unit notifies not only the fatigue level information and the recovery period but also the event information such as the event date, the competition content, and the environment information that the user participates in, for example. Determine the conditions. This allows the user to perform training by adjusting the exercise load and duration so that fatigue can be recovered by the day of the event they participate in, and according to the event's competition content, environmental information, etc. .

  Application Example 7 In the exercise support system according to the application example described above, the notifying unit calculates provisional fatigue information using the load information calculated based on the pulse information of the user during the exercise. It is preferable to notify the user of at least one of the provisional recovery period calculated from the provisional fatigue degree information.

  According to the configuration of this application example, the user can check the current fatigue level due to the exercise being performed and the period necessary for recovery of the current fatigue level during the training. Thereby, the user can adjust the load and duration of the exercise being performed according to the current fatigue level and the period necessary for recovery of the current fatigue level.

  Application Example 8 In the exercise support system according to the application example described above, it is preferable that the fatigue level information is calculated based on past load information calculated in an exercise performed by the user in the past.

  According to the configuration of the application example, if the past load information calculated in the exercise performed by the user in the past is known, the fatigue level information of the current user can be calculated.

  Application Example 9 In the exercise support system according to the application example described above, the pulse information includes a heart rate, and the load information includes the heart rate, the maximum heart rate, and rest when the exercise is performed. It is preferably calculated using the hourly heart rate.

  According to the configuration of this application example, the load information is calculated using the heart rate when the user is exercising, the maximum heart rate, and the resting heart rate as the pulse information. Thereby, the load when the user is exercising can be calculated using a known mathematical model based on the user's pulse information.

  Application Example 10 In the exercise support system according to the application example described above, the recovery period is determined based on the past load information and the elapsed time from the exercise performed by the user in the past. It is preferable.

  According to the configuration of this application example, if the past load information calculated in the exercise performed by the user in the past and the elapsed time from the exercise performed by the user in the past are known, the improvement of the fatigue state of the current user is improved. The recovery period required for

  [Application Example 11] An exercise support method according to this application example includes a step of obtaining fatigue level information relating to a user's current fatigue state, a step of calculating a recovery period necessary for improving the current fatigue state, Based on the fatigue level information and the recovery period, determining a notification condition for performing notification to the user, and when the user is exercising, based on the pulse information of the user Calculating load information representing the load of the exercise, and notifying the user when the load information satisfies the notification condition.

  According to the method of this application example, based on the acquired user's current fatigue level information and the calculated recovery period necessary for improvement of the current fatigue state, the notification condition for executing notification to the user is set. decide. And when the load information calculated based on the user's pulse information when exercising is fulfilling the notification condition, the user is notified. Therefore, the user can confirm that the notification condition is satisfied for the recovery period with respect to the fatigue level due to the exercise load being performed without performing an operation or the like during the training. Thereby, the user can perform training in which the load and the recovery are balanced.

  Application Example 12 The exercise support apparatus according to this application example is notified to the user based on fatigue level information related to the user's current fatigue state and a recovery period necessary for improving the current fatigue state. Based on the pulse information of the user when the user is exercising, the notification condition determination unit that determines the notification condition for executing the information, the pulse information detection unit that detects the pulse information of the user A load information calculation unit that calculates load information representing the exercise load, and a notification unit that notifies the user when the load information satisfies the notification condition.

  According to the configuration of this application example, the notification condition for performing notification to the user is notified based on the fatigue level information regarding the user's current fatigue state and the recovery period necessary for improvement of the current fatigue state. The condition determining unit determines. When the exercise load information calculated by the load information calculation unit based on the user's pulse information detected by the pulse information detection unit when the user is exercising satisfies the notification condition, the notification unit To inform. Therefore, the user can know that the notification condition is satisfied for the recovery period for the fatigue level due to the exercise load being performed without performing an operation or the like during the training. This makes it possible for the user to adjust the exercise load and execution time in consideration of the recovered state of fatigue during the training. As a result, the user can perform effective training while preventing overtraining and breakdown.

  Application Example 13 In the exercise support apparatus according to the application example, it is preferable that the notification condition is at least one of an upper limit value, a target value, and a predetermined range related to the load information.

  According to the configuration of this application example, during the training, the user confirms that the exercise load being performed satisfies at least one of the upper limit value, the target value, and an appropriate range. Can be confirmed. Thus, the user can perform exercise with an appropriate load so that the load due to training does not become excessive or insufficient.

  Application Example 14 In the exercise support apparatus according to the application example described above, the notification unit notifies the user of the time or distance required to reach the upper limit value when the exercise load continues. It is preferable.

  According to the configuration of this application example, the user can check the time or distance required for the exercise load being performed to reach the upper limit value during the training. Thereby, the user can perform exercise so that the load does not exceed the upper limit value and become excessive.

  [Application Example 15] The exercise support apparatus according to the application example, wherein the notification unit calculates the provisional fatigue degree using the load information calculated based on the pulse information of the user during the exercise. It is preferable to notify the user of at least one of information or a provisional recovery period calculated from the provisional fatigue information.

  According to the configuration of this application example, the user can check the current fatigue level due to the exercise being performed and the period necessary for recovery of the current fatigue level during the training. Thereby, the user can adjust the load and duration of the exercise being performed according to the current fatigue level and the period necessary for recovery of the current fatigue level.

  Application Example 16 In the exercise support apparatus according to the application example described above, when the fatigue level information is equal to or greater than a predetermined value when the start of the exercise of the user is detected, the notification unit displays the fatigue It is preferable to notify at least one of the degree information, the recovery period, and the notification condition.

  According to the configuration of this application example, when the user starts training, the degree of fatigue at that time is equal to or greater than a predetermined value, and the degree of fatigue, the period necessary for recovery from fatigue, or notification conditions (Upper limit value of load, target value, and predetermined range) can be confirmed. Thereby, the user can adjust the exercise load and the execution time to be performed according to the state of the fatigue level when starting the training.

The figure which shows an example of the relationship between the intensity | strength of exercise | movement, and load. The figure which shows an example of the relationship between the exercise time and the cumulative load. The figure which shows an example of the relationship between the fatigue accumulated by exercise and the recovery period. The schematic block diagram which shows the outline | summary of the exercise assistance system which concerns on 1st Embodiment. 1 is an external view showing a schematic configuration of a wearable device according to a first embodiment. The external view which shows the example of mounting | wearing of a wearable apparatus. Sectional drawing which shows the structure of a wearable apparatus. The block diagram which shows the structural example of the exercise assistance apparatus which concerns on 1st Embodiment. The flowchart which shows the Example of the exercise | movement assistance method which concerns on 1st Embodiment. The flowchart which shows the Example of the exercise | movement assistance method which concerns on 1st Embodiment. The schematic diagram which shows the Example of the image displayed on the alerting | reporting part of the exercise assistance system which concerns on 1st Embodiment. The schematic diagram which shows the Example of the image displayed on the alerting | reporting part of the exercise assistance system which concerns on 1st Embodiment. The schematic diagram which shows the Example of the image displayed on the alerting | reporting part of the exercise assistance system which concerns on 1st Embodiment. The figure explaining HRV. Correlation diagram between performance and elapsed time when performance drops. The graph which shows HRV in the state of the P section of FIG. Correlation diagram between performance and elapsed time when performance rises. The graph which shows HRV in the state of the Q section of FIG. The bar graph which shows transition of every day of TRIMP. A line graph showing daily changes in HRV. In the correlation diagram of HRV and TRIMP. The figure which shows an example of the relationship between the fatigue accumulated by the exercise | movement in 2nd Embodiment, and a recovery period. The schematic diagram which shows the Example of the image displayed on the alerting | reporting part of the exercise assistance system which concerns on 2nd Embodiment. The schematic diagram which shows the Example of the image displayed on the alerting | reporting part of the exercise assistance system which concerns on 2nd Embodiment. The schematic diagram which shows the Example of the image displayed on the alerting | reporting part of the exercise assistance system which concerns on 2nd Embodiment. 9 is a flowchart showing a method for correcting an attenuation rate according to Modification 1. 9 is a flowchart showing a method for correcting an attenuation rate according to Modification 2.

  Embodiments of an exercise support system, an exercise support method, and an exercise support apparatus that embody the present invention will be described below with reference to the drawings. The embodiments described below do not unduly limit the contents of the present invention described in the claims. In addition, all the configurations described in the embodiments are not necessarily essential configuration requirements of the invention.

(First embodiment)
<Outline of the exercise support system>
First, an outline of the exercise support system according to the first embodiment will be described. The exercise support system according to the first embodiment provides the user with an indication of exercise intensity and exercise time assuming a recovery period necessary for improving the fatigue state of the current user while the user is performing training. The purpose is to prevent users from overtraining and breakdowns, and to help users perform effective training. More specifically, the exercise support system according to this embodiment performs user exercise support by the following method.

  1) Based on the pulse information when the user is exercising, load information (exercise load) representing the load of the exercise being performed by the user is calculated.

  2) Fatigue level information (fatigue level) related to the user's current fatigue state is calculated based on past load information calculated in the exercises performed by the user in the past. Further, based on the load information calculated while the user is exercising, provisional fatigue level information regarding the fatigue state during the exercise is calculated.

  3) Calculate the recovery period required to improve the user's current fatigue status. In addition, the provisional recovery period necessary for the user to improve the fatigue state during exercise is calculated.

  4) Based on the fatigue level information and the recovery period, notification conditions (upper limit value, target value, predetermined range, etc. regarding load information) for performing notification to the user are determined.

  5) When the user is exercising, if the load information satisfies the notification condition, the user is notified.

  Although details of the exercise support system will be described later, here, a method of calculating fatigue due to exercise and a recovery period necessary for improving the fatigue in the exercise support system will be described. FIG. 1 is a diagram illustrating an example of the relationship between exercise intensity and load. FIG. 2 is a diagram illustrating an example of the relationship between exercise time and cumulative load. FIG. 3 is a diagram illustrating an example of a relationship between fatigue accumulated by exercise and a recovery period.

  In FIG. 1, the horizontal axis represents exercise intensity, and the exercise intensity increases toward the right side of the horizontal axis. The vertical axis represents the exercise load, and the higher the vertical axis, the greater the exercise load. As shown by a curve in FIG. 1, the exercise load increases as the exercise intensity per unit time increases.

  In FIG. 2, the horizontal axis represents exercise time, and the exercise intensity for each unit of exercise time is represented by a bar graph. The vertical axis represents the exercise load accumulated by continuing (or repeating) the exercise, and the exercise load accumulated as the exercise time (or the number of days) elapses is represented by a line graph. As shown in FIG. 2, the exercise load is accumulated by continuing the exercise, and the accumulated exercise load becomes larger as the exercise time is longer (or the number of days is larger).

  In FIG. 3, the horizontal axis is time, and the time when the exercise is started is t0, the time when the exercise is finished is t1, and the time when the fatigue due to the exercise is recovered is t2. The vertical axis indicates the degree of fatigue, and the degree of fatigue increases as it goes upward on the vertical axis. Here, the fatigue level at the start of exercise (t0) is set to zero. As shown by a curve C1 in FIG. 3, during the exercise (from t0 to t1), the exercise load is accumulated with time and the fatigue level is increased.

  Further, as shown by a curve C2 in FIG. 3, after the exercise is finished, the fatigue is attenuated (recovered) with the passage of time, and the fatigue level is lowered. If there is no exercise after t1 (rest), the fatigue recovers over time and the fatigue level returns to zero. t2 is the time for the fatigue level to return to 0, and the time from t1 to t2 is the recovery period.

  In addition, if the exercise is performed before the fatigue due to the previous exercise is not recovered (that is, before the time t2 in FIG. 3), the fatigue level at the start of the current exercise (t0) is not 0 (residual fatigue). Therefore, the fatigue level at the end of this exercise is the previous residual fatigue plus the fatigue from this exercise. In this case, the time for recovering the fatigue and returning the fatigue level to 0 becomes longer than that when the fatigue level is 0 at the start of the exercise.

  In the present embodiment, the exercise load is calculated using a known mathematical model based on the user's pulse information, more specifically, the heart rate (HR). Hereinafter, in the exercise support system according to the present embodiment, a case where the exercise load (TRIMP: Training Impulse) is calculated using a Banister model which is an example of a known mathematical model will be described as an example.

As the pulse information, the maximum value (HRmax) of the user's heart rate, the heart rate at rest (HRrest), and the heart rate (HR) when the user is exercising are used. The maximum value of the heart rate and the resting heart rate are obtained from the heart rate data of the user measured in the past (before exercise). Based on these pulse information, the exercise intensity (% HRR) when the user exercises is expressed by the following equation (1).
% HRR = (HR−HRrest) / (HRmax−HRrest) (1)

From equation (1), the exercise load (TRIMP) due to the user performing exercise is represented by equation (2) shown below.
TRIMP =% HRR × 0.64 × exp (k ×% HRR × t) (2)

In equation (2), the coefficient k is 1.92 when the user is a male and 1.67 when the user is a female. T is the measurement time (seconds). And the fatigue degree (h (t)) by having exercised by the user is expressed by the following formula (3).
h (t) = h (t−d) × exp (−d / τ) + TRIMP (3)

  In Equation (3), t is the day on which the user has performed the current exercise, and d is the number of days of rest (the number of days that have elapsed since the user performed the previous exercise). τ is 15 days. exp (−d / τ) corresponds to the fatigue rate decay rate. TRIMP in equation (3) is a cumulative value of past (up to the previous) exercise load (TRIMP). Therefore, the user's current fatigue level (h (t)) is determined based on the past load information and the elapsed time from the exercise performed by the user in the past.

  The recovery period is also determined based on the past load information and the elapsed time from the exercise performed by the user in the past. More specifically, the fatigue recovery period (the number of rest days d required to reduce h (t) to 0) required to eliminate the current degree of fatigue is obtained from Equation (3). Thereby, in the exercise support system according to the present embodiment, it is possible to provide the user with an indication of the current fatigue state and the recovery period necessary for improving the current fatigue state.

  For example, in the exercise support system according to the present embodiment, it is possible to provide the user with an indication of exercise intensity and exercise time so that the user can recover from fatigue by the date of a sporting event such as a marathon event that the user is scheduled to participate in. . Further, the upper limit value of the exercise load (TRIMP) is set by calculating backward from the desired recovery period, and the target exercise time according to the exercise intensity can be provided to the user so as not to exceed the upper limit value. Then, notification conditions such as an upper limit value, a target value, and a predetermined range of the exercise load are set, and when the notification conditions are satisfied, it is possible to notify the user during exercise.

<Configuration of exercise support system>
Next, the configuration of the exercise support system according to the first embodiment will be described with reference to FIG. FIG. 4 is a schematic configuration diagram showing an outline of the exercise support system according to the first embodiment. The exercise support system 100 according to the first embodiment has a function for supporting physical condition management of a person (user) who performs training. As shown in FIG. 1, the exercise support system 100 includes an exercise support apparatus 110 and an information processing apparatus 400 connected via a network NE. The exercise support device 110 is a core part of the exercise support system 100 and includes a wearable device 200 and a mobile terminal device 300.

  The wearable device 200 has a function as a detection device in the exercise support system 100. Here, the wearable device 200 will be described as an example of a wearable device worn on the user's wrist. The wearable device 200 includes a pulse wave sensor as a pulse information detection unit and a body motion sensor.

  The wearable device 200 can acquire pulse information such as a user's heart rate (HR) and a heart rate interval (RRI: R-R Interval) by using a pulse wave sensor. For example, a photoelectric sensor (photoelectric sensor 401 shown in FIG. 7) is used as the pulse wave sensor. In this case, a method of detecting reflected light or transmitted light of light irradiated on a living body (user) with the photoelectric sensor can be considered. Since the amount of light absorbed and reflected by the living body varies depending on the blood flow in the blood vessel, the sensor information detected by the photoelectric sensor becomes a signal corresponding to the blood flow, etc. Information about beats can be acquired.

  In the exercise support system 100 including the photoelectric sensor, it is necessary to receive necessary light and shield unnecessary light. In the case of a pulse wave sensor, the reflected light including the pulse wave component reflected by the subject that is the measurement target (particularly the part including the blood vessel of the user to be measured) is received as strong light, and the others The light is blocked because it becomes a noise component. The pulse wave sensor is not limited to a photoelectric sensor, and other sensors such as an electrocardiograph and an ultrasonic sensor may be used.

  The body motion sensor is a sensor that detects a user's body motion. As the body motion sensor, an acceleration sensor, an angular velocity sensor, or the like may be used, but other sensors may be used. In this embodiment, an acceleration sensor (acceleration sensor 55 shown in FIG. 7) is provided as a body motion sensor.

  Wearable device 200 may be worn not on the user's wrist but on another part of the user such as the neck or ankle. The wearable device 200 may include a biological sensor other than the photoelectric sensor. A detailed configuration of the wearable device 200 will be described later.

  The mobile terminal device 300 is configured by, for example, a smartphone or a tablet-type terminal device. The mobile terminal device 300 is connected to the wearable device 200 by short-range wireless communication, wired communication (not shown), or the like. The mobile terminal device 300 is connected to an information processing device 400 such as a PC (Personal Computer) or a server system via a network NE. As the network NE here, various networks such as a WAN (Wide Area Network), a LAN (Local Area Network), and short-range wireless communication can be used. The information processing device 400 has a function as a storage unit that stores various types of information acquired and processed by the exercise support device 110 (the wearable device 200 and the mobile terminal device 300) via the network NE.

  The function of the exercise support device 110 may be realized by at least one of the wearable device 200 and the mobile terminal device 300. In other words, the exercise support device 110 may be realized by either the wearable device 200 or the mobile terminal device 300. In addition, some of the components of the wearable device 200 in the present embodiment may be included in the mobile terminal device 300, or vice versa.

  For example, the wearable device 200 only needs to be able to communicate with the mobile terminal device 300 and does not need to be directly connected to the network NE. Therefore, the configuration of wearable device 200 can be simplified. In addition, the mobile terminal device 300 may be omitted, and a modification may be made in which the wearable device 200 and the information processing device 400 are directly connected.

  The exercise support system 100 is not limited to that realized by the information processing apparatus 400. For example, the mobile terminal device 300 such as a smartphone is often limited in processing performance, storage area, and battery capacity as compared to a server system, but considering recent performance improvements, sufficient processing performance can be secured. It is also possible to become. Therefore, the exercise support system 100 can be configured not to include the information processing device 400 as long as the processing performance and the like of the mobile terminal device 300 are satisfied and the information processing device 400 can play a role. . Furthermore, the exercise support system 100 may be realized by the wearable device 200. In addition, it is not prevented that the exercise support system 100 includes devices other than the wearable device 200, the mobile terminal device 300, and the information processing device 400.

  The exercise support system 100 also includes a memory that stores information and a processor that operates based on the information stored in the memory. In the processor, for example, the function of each unit may be realized by individual hardware, or the function of each unit may be realized by integrated hardware. The processor may be a CPU, for example. 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) can be used. The processor may be an ASIC hardware circuit.

  The memory may be a semiconductor memory such as SRAM (Static Random Access Memory) or DRAM (Dynamic Random Access Memory), a register, or a magnetic storage device such as a hard disk device. Alternatively, an optical storage device such as an optical disk device may be used. For example, the memory stores instructions readable by a computer, and the functions of each part of the exercise support system 100 are realized by executing the instructions by the processor. The instruction here may be an instruction of an instruction set constituting the program, or an instruction for instructing an operation to the hardware circuit of the processor.

  The process executed by the exercise support system 100 according to the present embodiment may be executed by any one device, or may be distributed by a plurality of devices.

<Wearable device>
Next, the configuration of the wearable device according to the first embodiment will be described with reference to FIGS. 5 and 6. FIG. 5 is an external view illustrating a schematic configuration of the wearable device according to the first embodiment. FIG. 6 is an external view showing an example of wearing a wearable device. FIG. 7 is a cross-sectional view showing the configuration of the wearable device.

  As shown in FIG. 6, wearable device 200 is attached to a user's given part (for example, a measurement target such as a wrist) and detects pulse information and the like. As shown in FIG. 5, the wearable device 200 includes a case unit 30, a device main body 18 that is in close contact with the user and detects pulse information and the like, and is attached to the device main body 18 for attaching the device main body 18 to the user. A pair of band portions 10.

  The case unit 30 of the device main body 18 is provided with a display unit 50 and a pulse wave sensor unit 40. The case unit 30 is provided with an operation button 25 for the user to operate. The band portion 10 is provided with a fitting hole 12 and a buckle 14. The buckle 14 includes a buckle frame 15 and a locking portion (projection bar) 16.

  In the following description of the wearable device 200, when the device main body 18 is attached to the user, the side located on the measurement object (subject) side is “back side or back side”, and the device main body is the opposite side. 18 The display surface side will be described as “front side or surface side”. Further, the “object” to be measured may be referred to as “subject”.

  In addition, the coordinate system is set with reference to the case unit 30 of the wearable device 200, and the direction intersects the display surface of the display unit 50, from the back surface to the front surface when the display surface side of the display unit 50 is the front surface. The direction to go is the positive Z-axis direction. Alternatively, the direction from the pulse wave sensor unit 40 toward the display unit 50 or the direction away from the case unit 30 in the normal direction of the display surface of the display unit 50 may be defined as the positive Z-axis direction. In a state where the wearable device 200 is mounted on the subject, the positive Z-axis direction corresponds to a direction from the subject toward the case unit 30. In addition, the two axes orthogonal to the Z axis are set as the XY axes, and in particular, the direction in which the band unit 10 is attached to the case unit 30 is set as the Y axis.

  FIG. 5 shows the wearable device 200 in a state in which the band unit 10 is fixed using the fitting hole 12 and the locking unit 16 in the direction of the band unit 10 side (the surface of the case unit 30 in the mounted state). It is the perspective view seen from the surface side which becomes a sample side. In the wearable device 200, a plurality of fitting holes 12 are provided in the band portion 10, and mounting to a user is performed by inserting the locking portion 16 of the buckle 14 into any of the plurality of fitting holes 12. The plurality of fitting holes 12 are provided along the longitudinal direction of the band portion 10.

  As shown in FIG. 7, the device main body 18 has a case portion 30 including a top case 21 and a bottom case 22. The bottom case 22 is located on the measurement object side when the apparatus main body 18 is attached to the user. The top case 21 is arranged on the opposite side (front side) to the measurement object side with respect to the bottom case 22. A detection window 221 is provided on the back surface of the bottom case 22, and a pulse wave sensor unit 40 is provided at a position corresponding to the detection window 221.

  In FIG. 5, a pulse wave sensor (photoelectric sensor 401 shown in FIG. 7) that acquires pulse information is assumed as a living body sensor, and a pulse wave sensor is provided on the surface of the case unit 30 that is on the subject side when the wearable device 200 is mounted. The example in which the part 40 is provided was shown. However, the position where the biological sensor is provided is not limited to the illustration of FIG. The biological sensor may be provided inside the case unit 30, for example.

  FIG. 6 is a view of the wearable device 200 in a state where the user is wearing, as viewed from the side where the display unit 50 is provided. As shown in FIG. 6, the wearable device 200 according to the present embodiment has a display unit 50 at a position corresponding to a normal watch dial or a position where numbers and icons can be visually recognized. In the wearing state of the wearable device 200, the bottom case 22 side of the case unit 30 is in close contact with the subject, and the display unit 50 is in a position where it can be easily viewed by the user.

  Next, an example of a detailed cross-sectional structure of the device main body 18 of the wearable device 200 will be described with reference to FIG. As shown in FIG. 7, in addition to the top case 21 and the bottom case 22, the device main body 18 includes a module substrate 35, a pulse wave sensor unit 40 connected to the module substrate 35, a circuit substrate 41, and a panel frame. 42, a circuit case 44, an LCD 501 constituting the display unit 50, an acceleration sensor 55 as an example of a body motion sensor, a secondary battery 60, and a GPS antenna 65. However, the configuration of wearable device 200 is not limited to the configuration shown in FIG. 7, and other configurations can be added or a part of the configuration can be omitted.

  The top case 21 may include a trunk portion 211 and a glass plate 212. In this case, the body 211 and the glass plate 212 are used as an outer wall for protecting the internal structure, and the liquid crystal display (hereinafter, LCD 501) of the display unit 50 provided directly below the glass plate 212 through the glass plate 212. It is good also as a structure which a user can browse a display. In other words, in the present embodiment, information provided by the exercise support system 100 or various information such as time information is displayed using the display unit 50, and the display is presented to the user from the top case 21 side. Also good.

  In addition, although the example which implement | achieves the top-plate part of the apparatus main body 18 with the glass plate 212 was shown here, it is a transparent member which can browse LCD501, and can protect the structure contained in the case part 30, such as LCD501. If the member has a certain degree of strength, the top plate portion can be made of a material other than glass, such as transparent plastic.

  The bottom case 22 is provided with a detection window 221 and a bank portion 222. The bank portion 222 is raised along the direction from the bottom case 22 toward the subject, and the detection window 221 is provided on the bank portion 222. A pulse wave sensor unit 40 is provided at a position corresponding to the detection window 221. The detection window 221 is configured to transmit light, and light emitted from the light emitting unit 46 (see FIG. 8) included in the pulse wave sensor unit 40 passes through the detection window 221 and passes through the object (measurement). The object is irradiated. The detection window 221 has a convex portion that protrudes from the pulse wave sensor 40 toward the subject. A groove portion is provided between the convex portion of the detection window 221 and the bank portion 222, and by having these configurations, for example, as described in detail in Japanese Patent Application Laid-Open No. 2014-180291, it is stable even during movement. Pulse wave measurement can be realized.

  Further, the reflected light from the subject also passes through the detection window 221 and is received by the light receiving unit 45 (see FIG. 8) of the pulse wave sensor unit 40. In other words, by providing the detection window 221, it is possible to detect biological information using a photoelectric sensor. The pulse wave sensor unit 40 is connected to the module substrate 35. The module substrate 35 is electrically connected to the circuit substrate 41 using, for example, a flexible substrate 47 or the like.

  On the circuit board 41, a panel frame 42 for guiding the LCD 501 is disposed on one surface, and a circuit case 44 for guiding the secondary battery 60 and the like is disposed on the other surface. The circuit board 41 is mounted with elements constituting a circuit for driving the pulse wave sensor unit 40 and measuring a heartbeat, a circuit for driving the LCD 501, a circuit for controlling each circuit, and the like. The circuit board 41 is electrically connected to the electrodes of the LCD 501 via a connector (not shown). The LCD 501 displays information provided by the exercise support system 100 or time information such as the current time according to each mode.

  A rechargeable secondary battery 60 (lithium secondary battery) is stored in the circuit case 44. The secondary battery 60 is connected to the circuit board 41 through the connection board 48 or the like at both electrodes, and supplies power to a circuit that controls the power supply. The power is converted into a predetermined voltage by this circuit and supplied to each circuit, and a circuit for driving the pulse wave sensor unit 40 to detect a heartbeat, a circuit for driving the LCD 501, a circuit for controlling each circuit, etc. Make it work. The secondary battery 60 is charged through a pair of charging terminals that are electrically connected to the circuit board 41 by a conductive member (not shown) such as a coil spring. Here, an example in which the secondary battery 60 is used as the battery has been described, but a primary battery that does not require charging may be used as the battery.

  Further, as shown in FIG. 7, the detection window 221 may be formed to extend to a sealing portion 51 provided at a connection portion between the top case 21 and the bottom case 22. Here, the sealing part 51 may be provided with a packing 52 that seals the inside of the case part 30 from the outside. The packing 52 is provided at a connection portion between the top case 21 and the bottom case 22 and seals the inside of the case portion 30 from the outside.

<Exercise support device>
Next, a functional configuration of the exercise support apparatus 110 according to the first embodiment will be described with reference to FIG. FIG. 8 is a block diagram illustrating a configuration example of the exercise support apparatus according to the first embodiment. As described above, the exercise support device 110 includes the wearable device 200 and the mobile terminal device 300.

  Wearable device 200 includes a pulse wave sensor unit 40 as a pulse information detection unit, a body motion sensor unit 170, an operation unit 230, a notification unit 240, and a processing unit 250. The pulse wave sensor unit 40 detects a user's pulse information and includes a light receiving unit 45 and a light emitting unit 46. A pulse wave sensor (photoelectric sensor) is realized by the light receiving unit 45, the light emitting unit 46, and the like. The pulse wave sensor unit 40 outputs a signal detected by the pulse wave sensor as a pulse wave detection signal.

  For the pulse wave sensor 40, for example, a photoelectric sensor is used. In this case, a method of detecting reflected light or transmitted light of the light emitted from the light emitting unit 46 on the living body (user's wrist) by the light receiving unit 45 can be considered. In such a method, the amount of light absorbed and reflected by the living body varies depending on the blood flow in the blood vessel, so the sensor information detected by the photoelectric sensor becomes a signal corresponding to the blood flow, etc. By analyzing the signal, pulse information (heart rate HR) can be acquired. However, the pulse wave sensor is not limited to a photoelectric sensor, and other sensors such as an electrocardiograph and an ultrasonic sensor may be used.

  The body motion sensor unit 170 is a sensor that detects a user's body motion, and outputs a body motion detection signal that is a signal that changes according to the body motion. The body motion sensor unit 170 includes, for example, an acceleration sensor 55 as a body motion sensor. The body motion sensor unit 170 may include an angular velocity sensor, a pressure sensor, a gyro sensor, and the like as body motion sensors.

  The operation unit 230 is used when the user performs display or function switching of the wearable device 200. The operation unit 230 includes operation buttons 25 provided on the case unit 30. If the display unit 50 includes a touch panel, the touch panel also functions as the operation unit 230.

  The alerting | reporting part 240 has a function which alert | reports various information with respect to a user. The notification unit 240 includes a display unit 50 and an alarm 53. The display unit 50 displays information such as the user's load information, fatigue information, and recovery period when the user is exercising. As described above, the display unit 50 includes the LCD (liquid crystal display) 501, but may be another display such as an OLED (organic EL display). Further, the display unit 50 may include a touch panel.

  The alarm 53 notifies the user by, for example, sound, voice, light lighting, light flashing, vibration, or the like when the load information when the user is exercising satisfies the notification condition. The alarm 53 is configured by at least one of an electromagnetic buzzer, a light emitter, a vibration motor (vibrator), and the like, for example. Information notification to the user may be performed only by displaying an image on the display unit 50, or by combining at least one of the alarms 53 (electromagnetic buzzer, light emitter, vibration motor, etc.) and image display on the display unit 50. You may go.

  The processing unit 250 includes a provisional information calculation unit 251 and a notification condition acquisition unit 252. In the present embodiment, the main processing in the exercise support device 110 is a configuration example performed by the mobile terminal device 300. In other words, the processing unit 250 of the wearable device 200 performs provisional processing and auxiliary processing required when the user is exercising with respect to the processing unit 310 of the mobile terminal device 300 described later. Shall be performed.

  The provisional information calculation unit 251 has a function similar to a load information calculation unit 312, a fatigue level information acquisition unit 313, and a recovery period calculation unit 314 of the mobile terminal device 300 (processing unit 310) described later. In other words, the provisional information calculation unit 251 acquires the user's pulse information when the user is exercising, and calculates load information representing the exercise load currently being performed by the user. Then, the provisional information calculation unit 251 acquires provisional fatigue level information of the user who is exercising based on the current load information, and calculates a provisional recovery period necessary for improving the user's current fatigue state. The notification condition acquisition unit 252 acquires the notification condition determined by the notification condition determination unit 315 of the mobile terminal device 300 (processing unit 310).

  The mobile terminal device 300 is configured by, for example, a smartphone or a tablet-type terminal device. The mobile terminal device 300 includes a processing unit 310, a notification unit 320, an input unit 330, a communication unit 340, and a storage unit 350.

  The processing unit 310 performs various signal processing and control processing using the storage unit 350 as a work area, for example, and can be realized by a processor such as a CPU or a logic circuit such as an ASIC. The processing unit 310 includes a body motion information acquisition unit 311, a load information calculation unit 312, a fatigue level information acquisition unit 313, a recovery period calculation unit 314, a notification condition determination unit 315, an event information acquisition unit 316, An information acquisition unit 317.

  The body motion information acquisition unit 311 acquires the user's body motion information (body motion detection signal) detected by the body motion sensor unit 170 included in the wearable device 200. By acquiring the body motion information with the body motion information acquisition unit 311, for example, it is possible to detect that the user wears the wearable device 200, or that the user has started exercising.

  The load information calculation unit 312 processes the pulse wave detection signal detected by the pulse wave sensor unit 40 included in the wearable device 200 to acquire the user's pulse information. And the load information calculation part 312 calculates the load information showing the load of the exercise | movement which the user is implementing based on the acquired user's pulse information.

  That is, the load information calculation unit 312 calculates the exercise intensity (% HRR) by the above equation (1) based on the user's pulse information (heart rate HR) when performing exercise, and the above equation ( 2) The exercise load (TRIMP) due to the user performing exercise is calculated. However, it is assumed that the maximum value (HRmax) of the user's heart rate and the heart rate at rest (HRrest) are measured in advance.

  Note that the load information calculation unit 312 includes a noise reduction unit, and based on the body motion detection signal from the body motion sensor unit 170, noise caused by body motion is detected from the pulse wave detection signal detected by the pulse wave sensor unit 40. It is good also as a structure which performs the process to reduce (remove).

  The fatigue level information acquisition unit 313 acquires fatigue level information related to the user's fatigue state based on the load information calculated by the load information calculation unit 312. The fatigue level information is calculated based on past load information calculated in the exercise performed by the user in the past. That is, the fatigue level information acquisition unit 313 calculates the fatigue level (h (t)) as the fatigue level information of the user from the exercise load (TRIMP) resulting from the user's exercise according to the above equation (3).

  The temporary fatigue level information calculated by the temporary information calculation unit 251 of the wearable device 200 (processing unit 250) is fatigue level information based on the load information of the user during exercise calculated from the pulse information of the user during exercise. is there.

  The recovery period calculation unit 314 calculates a recovery period necessary for improving the user's current fatigue state from the fatigue level information calculated by the fatigue level information acquisition unit 313. The recovery period is determined based on the past load information and the elapsed time from the exercise performed by the user in the past. That is, the recovery period calculation unit 314 calculates, as the recovery period, the number of rest days d (or time) necessary to reduce the user's fatigue level h (t) to 0 or a predetermined value or less according to the equation (3). The provisional recovery period calculated by the provisional information calculation unit 251 of the wearable device 200 (processing unit 250) is a recovery period calculated from provisional fatigue level information of the user during exercise.

Based on the calculated fatigue level information and the recovery period, the user's fatigue state (recovery state) is expressed, for example, in the following four stages.
1) Very Fatigue: Severe fatigue state 2) Fatigue: Fatigue state 3) Fair: Moderate state 4) Recovery: Recovery state

  The notification condition determination unit 315 determines a notification condition for performing notification to the user using the fatigue level information calculated by the fatigue level information acquisition unit 313 and the recovery period calculated by the recovery period calculation unit 314. . Then, the notification condition determination unit 315 transmits the determined notification condition (notification signal) to the notification unit 240 of the wearable device 200. The notification condition includes at least one of an upper limit value regarding the load information, a target value, and a predetermined range.

  The upper limit value is set, for example, as the maximum value of the exercise load calculated backward from the recovery period (or the date on which fatigue should be recovered) necessary for improving the fatigue state. By presenting a guideline of appropriate exercise time according to the user's exercise intensity so that the exercise load does not exceed this upper limit value, the user is trained to recover from fatigue in the assumed recovery period (date) Will be able to

  The target value is set as, for example, a target exercise load in order to enhance the training effect. By presenting a guideline for the appropriate exercise time according to the user's exercise intensity so that the exercise load reaches this target value, the user can exercise with the appropriate load and obtain the assumed training effect. It becomes possible.

  The predetermined range is set, for example, as a range between a minimum value of exercise load for obtaining a training effect and an upper limit value of exercise load assuming a recovery period. By presenting a guideline of appropriate exercise time according to the user's exercise intensity so that the exercise load is within a predetermined range, the user can obtain the expected training effect (without running out of exercise load) Training can be carried out so that fatigue is recovered in the assumed recovery period (date).

  The event information acquisition unit 316 acquires event information of events related to the user. The event information includes, for example, at least one of the date and time of the sports tournament that the user is going to participate in, the competition item (competition content), and environmental information (elevation of the venue, undulations, climate, etc.). The event information acquisition unit 316 acquires event information when the user inputs the information to the input unit 330.

  When the event information acquisition unit 316 acquires event information, the notification condition determination unit 315 determines the notification condition based on the event information, the fatigue level information, and the recovery period. That is, the event information input by the user and acquired by the event information acquisition unit 316 is reflected in the notification condition determined by the notification condition determination unit 315. Thereby, for example, the notification condition including the upper limit value of the exercise load, the target value, and the predetermined range can be determined in consideration of the date and time of the sports tournament, the competition item, the environmental information, and the like.

  The position information acquisition unit 317 includes, for example, position information acquired via the antenna 318, high-frequency radio waves including GPS time information and orbit information from a GPS (Global Positioning System) satellite (not shown), an orientation sensor (not shown), and the like. Based on the azimuth information acquired by, it is possible to indicate the position of the user or use it as movement information.

  The notification unit 320 has a function of notifying the user of various types of information. The notification unit 320 includes a display unit 321. The display unit 321 includes a display such as an LCD (liquid crystal display) or an OLED (organic EL display). The display unit 321 may include a touch panel.

  The input unit 330 is configured with a touch panel when the display unit 321 includes a touch panel. The input unit 330 may be a keyboard or the like. The user can input event information via the input unit 330. In addition, the user can operate the mobile terminal device 300 or switch the display of the display unit 321 via the input unit 330.

  The communication unit 340 performs communication processing with the outside. That is, the communication unit 340 performs communication processing with the wearable device 200, the information processing device 400, or other devices. For example, information such as fatigue level information, recovery period, notification conditions, and the like obtained by processing of each unit of the processing unit 310 is transmitted to the wearable device 200 via the communication unit 340. In addition, various types of information (data) obtained by the processing of each unit of the processing unit 310 are transmitted to the information processing device 400 via the communication unit 340 and accumulated in the information processing device 400.

  The storage unit 350 stores information such as various data acquired by the program and the processing unit 310. The storage unit 350 is configured by a semiconductor memory such as an SRAM (Static Random Access Memory) or a DRAM (Dynamic Random Access Memory).

  Note that the configuration of the exercise support device 110 (the wearable device 200 and the mobile terminal device 300) is not limited to the configuration illustrated in FIG. Some of these components may be omitted, or other components may be added. Further, the process executed by the exercise support apparatus 110 may be executed by any one device, or may be distributed by both devices. For example, basic processing in the exercise support device 110 may be executed by the processing unit 310 of the mobile terminal device 300, and the processing result may be acquired by the processing unit 250 of the wearable device 200. The function of the unit 310 may be provided to the processing unit 250 of the wearable device 200.

<Exercise support method>
Next, an example of the exercise support method according to the present embodiment will be described with reference to FIGS. 9 and 10. 9 and 10 are flowcharts showing examples of the exercise support method according to the first embodiment. Specifically, each step shown in FIG. 9 is a process executed mainly by the wearable device 200 when the user is exercising, and each step shown in FIG. For example, it is a process executed by the mobile terminal device 300 (in a state where the exercise of one day is completed). FIGS. 11, 12, and 13 are schematic diagrams illustrating examples of images displayed on the notification unit of the exercise support system according to the first embodiment.

  As shown in FIGS. 9 and 10, the exercise support method according to the present embodiment is based on the step (step S03) of acquiring the user's pulse information when the user is exercising, and the user's pulse information. A step of calculating load information representing the exercise load (step S04), a step of acquiring fatigue level information on the user's current fatigue state (step S05 and step S11), and an improvement of the current fatigue state. A step of calculating a recovery period (step S06 and step S12), a step of determining a notification condition for performing notification to the user based on the fatigue level information and the recovery period (step S14), and the user performing exercise A step of notifying the user when the load information satisfies the notification condition during implementation (step S0) ) A.

  In step S01 shown in FIG. 9, the processing unit 250 of the wearable device 200 receives from the processing unit 310 of the portable terminal device 300 at a time point before the user starts exercising (steps S11 and step described later based on past load information). Fatigue degree information and recovery period (calculated in S12) are acquired. In step S02, the notification condition acquisition unit 252 of the wearable device 200 acquires the notification condition determined by the notification condition determination unit 315 of the mobile terminal device 300.

  FIG. 11 shows an example of an image displayed on the display unit 50 of the wearable device 200 based on the information acquired in step S01. The display area 56 displays the user's fatigue state (recovery state) at the time before the user starts exercising. In FIG. 11, “Fair” (appropriate state) is displayed. However, for example, when the user's fatigue is large, “Very Failure” is displayed.

  In the display area 57, the fatigue state (recovery state) is graphically displayed. The right end 57a of the display area 57 corresponds to the upper limit value (or target value) of the exercise load among the notification conditions. The lighting part 58 in the display area 57 indicates the current fatigue level with respect to the upper limit value (or target value) of the exercise load. The display area 59 displays a recovery period (here, time required for recovery, scheduled recovery time, etc.) necessary for improving the current fatigue state. Thereby, since the user can know the present fatigue recovery state before starting exercise, it is possible to appropriately adjust the intensity and duration of the exercise to be performed so as not to overtrain.

  Further, if the user is configured to display the fatigue state and the recovery period before starting the exercise, the current fatigue recovery state can be known before the user starts the exercise. In this case, at least a part of the functions of the processing unit 310 is executed by the processing unit 250 of the wearable device 200. For example, when the processing unit 250 detects that the user has operated the operation unit 230, a fatigue state and a recovery period can be displayed. Examples of user operations to be detected include button operations intended to start, stop, or pause training, and display menu selection operations by the user. With this configuration, the current fatigue recovery state can be known before the user starts exercising.

  Further, the fatigue state and the recovery period may be displayed on time or at a time preset by the user. In this case, for example, the wearable device 200 includes a clock unit and a time storage unit that are electrically connected to the processing unit 250, and the processing unit 250 detects the current time based on a signal from the clock unit. Then, when it is detected that the predetermined notification time stored in the time storage unit or the time set by the user has passed, it is possible to display the fatigue state and the recovery period. By configuring in this way, you can check your fatigue level in daily life other than during exercise, and the user can recognize his / her condition, so prepare the user's condition before starting exercise be able to. For example, if it is set to display the fatigue status and recovery period at every hour, if the fatigue status is high on the day of exercise, take a nap and promote recovery in daily life. Can be encouraged to take positive action.

  In addition, the processing unit 250 analyzes the user's behavior based on a signal from at least one of the body motion sensor unit 170 and the pulse wave sensor unit 40, and the user's behavior is to start exercise, stop exercise, or end exercise. If determined to be applicable, the fatigue state and recovery period may be displayed. With this configuration, the user can know the current fatigue recovery state before starting exercise or immediately after starting exercise without operating the wearable device 200.

  Further, referring to the schedule information in which the exercise date of the user is set, the processing unit 310 or the processing unit 250 determines that today is the exercise execution date, and the user operates the wearable device 200 at the beginning of the day. Sometimes, fatigue state and recovery period may be displayed. Furthermore, when the exercise time is set, the fatigue state and the recovery period may be displayed when the exercise execution time comes or before and after.

  Subsequently, in step S03 shown in FIG. 9, when the user is exercising, the pulse rate sensor unit 40 of the wearable device 200 acquires a heart rate (HR) as the user's pulse information. In step S04, the provisional information calculation unit 251 acquires the pulse information detected by the pulse wave sensor unit 40, and calculates the exercise load (TRIMP) when the user is exercising. In step S05, the provisional fatigue level h (t) when the user is exercising is calculated, and in step S06, the provisional recovery period (the number of rest days d required to improve the provisional fatigue level h (t) is calculated. Or time).

  Subsequently, in step S07 shown in FIG. 9, whether or not the load information (including provisional fatigue level information and provisional recovery period) calculated in steps S04 to S06 satisfies the notification condition determined by the notification condition determination unit 315. Determine whether. If the load information does not satisfy the notification condition (step S07: NO), the process returns to step S03. If the load information satisfies the notification condition (step S07: YES), the process proceeds to step S08 to notify the user that the notification condition is satisfied.

  The notification in step S08 is performed by, for example, displaying an image on the display unit 50, sound, sound, lighting of light, blinking of light, vibration, or the like by the alarm 53. FIG. 12 shows an example of an image displayed on the display unit 50 of the wearable device 200. In the display area 56, the current fatigue state is displayed as “Fatigue”. The lighting portion 58 in the display area 57 extends to the right end 57a (upper limit value) side, indicating that user fatigue has been accumulated. The recovery period (time) of the display area 59 is longer than before the start of exercise due to the accumulation of user fatigue.

  Thereby, the user can confirm the present fatigue level by the exercise | movement currently implemented, and the period required for recovery | restoration of the present fatigue degree during implementation of training. Thereby, the user can adjust the load and duration of the exercise being performed according to the current fatigue level and the period necessary for recovery of the current fatigue level.

  In addition, the display in each display area of the display part 50 is not limited to the display shown in FIG. 11 and FIG. For example, event information such as an event date may be displayed in the display area 56. By configuring in this way, it is possible to recognize the event targeted by the user and the period and the degree of fatigue required for recovery in association with each other, and it is possible to promote the purpose of rest or exercise with a purpose. Further, the current exercise intensity for the target exercise intensity range may be displayed in the display area 57.

  The display area 59 displays the time, time, distance, speed, pace, etc. required until the fatigue level reaches the upper limit (or target value) when the exercise is continued at the current exercise intensity (load). It is good as well. For example, if the exercise performed by the user is running, the movement distance, speed, pace, and the like can be acquired using the body motion sensor unit 170 and the GPS antenna 65. In this way, the user can perform exercise so as not to overtrain. These different displays can be switched by a user operating the operation unit 230.

  In the present embodiment, the user is notified when the load information (including provisional fatigue information and provisional recovery period) satisfies the notification condition in step S07, but the present invention is not limited to this. is not. For example, even when the load information does not satisfy the notification condition, if the user operates the operation unit 230 at an arbitrary timing, the load information of the user at that time may be displayed on the display unit 50. .

  In addition, when it is detected that the user has started exercising and the fatigue level information is greater than or equal to a predetermined value (for example, in a severe fatigue state), the notification unit 240 issues a warning to the user, It is good also as notifying at least any one of degree information, a recovery period, or alerting | reporting conditions. In addition, it can be detected by the operation of the operation unit 230 by the user or the body motion sensor unit 170 that the user has started exercising. Furthermore, when the user is in a recovery state (when the recovery period is completed), the notification unit 240 may notify the user.

  Thus, in this embodiment, when the user is exercising, the notification unit 240 notifies the user when the load information satisfies the notification condition. And the present fatigue degree by the load of the exercise | movement currently implemented and the recovery period with respect to the fatigue degree are displayed on the display part 50. FIG. Therefore, the user can know the current fatigue state and recovery period due to the exercise load being performed without performing any operation or the like during the training.

  Next, in step S11 shown in FIG. 10, exercise while the user was exercising from the pulse information acquired when the user was exercising by the load information calculation unit 312 of the mobile terminal device 300. Calculate the load (TRIMP). Then, the load information calculation unit 312 calculates the fatigue level h (t) while the user is exercising. In step S12, the recovery period calculation unit 314 calculates the recovery period (rest days d or time) necessary to improve the fatigue level h (t).

  Subsequently, in step S13, the event information acquisition unit 316 acquires event information such as the date of the event in which the user participates. The process of step S13 is executed when the user inputs event information, but may be executed when the user inputs event information regardless of the order of steps shown in FIG.

  Subsequently, in step S14, a notification condition for executing notification to the user is determined using the fatigue level information calculated in step S11 and the recovery period calculated in step S12. When the event information is acquired in step S13, the notification condition is determined using the fatigue level information, the recovery period, and the event information. By determining the notification conditions using the event information, the user can determine the load and duration of exercise so that fatigue can be recovered by the day of the event to participate, and according to the competition content and environmental information of the event. It is possible to adjust and perform training.

  The processes in steps S11 to S14 are executed and updated periodically (for example, every day). Then, the acquired or calculated information is stored in the storage unit 350 or the information processing apparatus 400.

  The user's fatigue state (recovery state) may be displayed on the display unit 321 of the mobile terminal device 300. In general, the display unit 321 of the mobile terminal device 300 has a larger display area than the display unit 50 of the wearable device 200, so that it is possible to display, for example, daily changes in fatigue level and recovery state. is there.

  FIG. 13 shows an example of a screen display displayed on the display unit 321 of the mobile terminal device 300. FIG. 13 is a bar graph showing the daily transition of the fatigue state (recovery state). In FIG. 13, the horizontal axis is the day (Day). The vertical axis represents the degree of fatigue, which is divided into four stages according to the degree of fatigue, namely, Very Fatigue (Fatigue Fatigue State), Fatigue (Fatigue State), Fair (Moderate State), and Recovery (Recovery State). According to such a display, the user can recognize the transition of the daily fatigue state (recovery state).

  After the user performs exercise, if the state in which the user does not perform the exercise continues (if the user rests), the fatigue level decreases with the passage of time and a recovery state is obtained. If exercise is performed in the middle of the recovery period, the fatigue level due to the exercise is added to the fatigue level being recovered, and the fatigue level increases. If resting from that state, the degree of fatigue decreases with the elapsed time, and fatigue is recovered. According to the display as shown in FIG. 13, for example, it is determined whether or not the intensity of exercise currently being performed by the user, duration, rest time, etc. are appropriate, and training for an event in which the user participates. Can support planning.

  As described above, according to the exercise support system 100, the exercise support method, and the exercise support apparatus 110 according to the first embodiment, based on the user's pulse information (heart rate HR) when performing exercise. Thus, the fatigue state (recovery state) of the user during exercise can be easily estimated. And it can grasp | ascertain the standard of the user's fatigue state (recovery state) during training. In addition, when the fatigue state (recovery state) of the user during exercise satisfies the notification condition, the user is notified. Therefore, the user can know that the notification condition is satisfied for the recovery period for the current fatigue level due to the exercise load being performed without performing an operation or the like during the training. This makes it possible for the user to adjust the exercise load and execution time in consideration of the recovered state of fatigue during the training. As a result, the user can perform effective training while preventing overtraining and breakdown.

  In addition, the function which supports a user's training by the exercise support system 100, the exercise support method, and the exercise support apparatus 110 which concern on this embodiment is not limited to the above-mentioned function. For example, as fatigue level information, in addition to exercise load (TRIMP) calculated using a mathematical model, user's subjective information such as feeling that exercise is harder than usual and exercise time is different from usual It may be added. Data information such as exercise power (acceleration) and movement speed acquired using the body motion sensor unit 170 and the GPS antenna 65 may be taken into account.

  In addition, if there is a limit on the exercise time when the user exercises, the exercise intensity target so that the fatigue level does not exceed the upper limit within the limit time (or the exercise load reaches the target value) The exercise support system 100 may present the value. If the fatigue level has exceeded the upper limit due to exercise, how much the recovery period required to improve the fatigue state will increase with respect to the recovery period assumed in advance. It is good also as a composition to present.

(Second Embodiment)
Next, an exercise support system, an exercise support method, and an exercise support apparatus according to the second embodiment will be described. In the second embodiment, the configuration of the exercise support system, the exercise support method, and the exercise support apparatus is almost the same as that of the first embodiment, but not only the heart rate (HR) but also the heart rate as the user's pulse information. The difference is that the fluctuation (HRV) is used. Here, differences from the first embodiment will be described, and the same components as those in the first embodiment will be denoted by the same reference numerals and description thereof will be omitted.

  First, HRV, which is one of user's pulse information, will be described with reference to FIGS. 14, 15, 16, 17, and 18. FIG. FIG. 14 is a diagram illustrating HRV. FIG. 15 is a correlation diagram between performance and elapsed time when the performance drops. FIG. 16 is a graph showing HRV in the state of part P in FIG. FIG. 17 is a correlation diagram between performance and elapsed time when the performance increases. FIG. 18 is a graph showing HRV in the state of the Q portion in FIG.

  In addition, the performance here includes a user's physical condition and athletic ability. By performing training appropriately, the user's performance (exercise ability) can be improved. However, if the exercise load due to training becomes excessive, fatigue may not be recovered and the original exercise ability may not be exhibited, or a failure may occur. On the contrary, if the exercise load due to training is insufficient, the exercise ability may not be improved, that is, a sufficient training effect may not be obtained. Also, the user's physical condition can affect the performance.

  HRV (Heart Rate Variability) is an index representing fluctuations in heart rate, and is also called heart rate variability. The HRV is measured when the user is sleeping or in a resting state immediately after getting up (for example, a state of resting for about 3 to 5 minutes). In the present embodiment, the HRV is calculated by the load information calculation unit 312 based on the pulse wave detection signal measured by the pulse wave sensor unit 40.

  As shown in FIG. 14, the time interval for each beat of the heartbeat is usually not constant but fluctuates (always varies). In FIG. 14, the interval between the R wave and the next R wave, for example, the difference between the interval r1 between R1 and R2 and the interval r2 between the next R2 and R3, Let RRI (RR Interval) be the difference between the interval r2 and the next interval R3 and the interval R3, and the difference between the interval R3 between R3 and R4 and the interval r4 between the next R4 and R5. The magnitude of the RRI variation indicating the time interval (interval r1 to r4) for each beat of the heartbeat is regarded as heartbeat fluctuation (HRV).

  Heart rate fluctuation (HRV) increases when fatigue is recovered, and decreases when fatigue is accumulated. Therefore, the fatigue state of the user can be known from the magnitude of heartbeat fluctuation (HRV). Then, by grasping heart rate fluctuation (HRV) over time, it can be used as a measure of whether or not the exercise load due to training is appropriate.

  FIG. 15 shows changes in heart rate fluctuation (HRV) when training Tr1, Tr2, Tr3 are sequentially performed during performance decline (a situation in which fatigue has not recovered or a situation in which physical condition is not expected). In FIG. 15, the performance falls as shown by the arrow f1 by the first training Tr1, and then rises as shown by the arrow f2.

  Here, when the next training Tr2 is performed in a situation where the recovery of fatigue due to the first training Tr1 is not sufficient, the performance decreases and becomes lower than after the first training Tr1. By performing the next training Tr3 in a situation where the fatigue has not been fully recovered, the performance is further lowered. That is, as fatigue due to training accumulates, the performance gradually decreases as schematically shown by the arrow f5 in FIG.

  FIG. 16 shows heart rate fluctuation (HRV) in the state of P part in FIG. When FIG. 16 is compared with FIG. 18 described later, it can be seen that heart rate fluctuation (HRV) is reduced. In this way, under conditions where fatigue is not recovered and performance is decreasing, heart rate fluctuation (HRV) is small.

  On the other hand, FIG. 17 shows the transition of the fatigue level (HRV) when training Tr1, Tr2, Tr3 are sequentially performed when the performance is increased (when the fatigue level is recovered and the physical condition is good). Is shown. As shown in FIG. 17, the performance is lowered as indicated by arrow f1 by the first training Tr1 and then increased as indicated by arrow f2, and is higher than that during the first training Tr1 (fatigue is recovered). Then, the next training Tr2 is performed. As a result, the performance drops again, but at a higher level than in the case shown in FIG. Similarly, if the next training Tr3 is performed when the performance after the training Tr2 is increased (fatigue is recovered), the performance gradually increases as schematically shown by an arrow f10 in FIG.

  FIG. 18 shows heart rate fluctuation (HRV) in the state of the Q portion in FIG. Comparing FIG. 18 with FIG. 16, the heart rate fluctuation (HRV) is larger. In this way, under conditions where fatigue is recovered, physical condition is good, and performance is increasing, heart rate fluctuation (HRV) becomes large.

  Heart rate fluctuation (HRV) is related to exercise load (TRIMP). The relationship between HRV and TRIMP will be described with reference to FIG. 19 and FIG. FIG. 19 is a bar graph showing the daily transition of TRIMP. In FIG. 19, the horizontal axis is the day (Day). The vertical axis in FIG. 19 is TRIMP and corresponds to the degree of fatigue. In FIG. 19, it is shown that the exercise load (TRIMP) increases as it goes upward on the vertical axis, that is, the degree of fatigue increases.

  FIG. 20 is a line graph showing daily changes in HRV. In FIG. 20, the horizontal axis is the day (Day), and corresponds to the horizontal axis of FIG. The vertical axis in FIG. 20 represents the value of HRV, which is divided into three levels: fair (moderate state), underload (low load state), and overload (overload state). Using the deviation value (σ) indicating the variation in the HRV value, centering on the average value of the HRV values, in a predetermined range (in this example, + σ is the upper limit and −σ is the lower limit), To do. Then, an upper side above a predetermined range (upper limit + σ) is underload, and an upper side below a predetermined range (lower limit -σ) is overload.

  As can be seen from FIGS. 19 and 20, HRV decreases as TRIMP increases (when fatigue level increases), and HRV increases as TRIMP decreases (when fatigue level decreases). Here, attention is focused on continuous (continuous) changes rather than daily changes in HRV. That is, if the HRV value is continuously in the overload category (below -σ), it is considered that the user's fatigue has accumulated, and the HRV value continuously decreases within that category. If this is the case, it is considered that the exercise load due to training is excessive and it is recommended to take a rest.

  On the other hand, if the HRV value is continuously in the underload category (above + σ), it is possible that fatigue has been recovered but the exercise load is insufficient, and the HRV value continues within that category. If it increases, it is considered that it is recommended to increase the exercise load in order to obtain the effect of training. Therefore, in order to obtain a sufficient training effect while preventing overtraining, it is preferable to adjust the exercise intensity and exercise time so that the value of HRV is continuously within the range of fair.

  Here, the activity of the autonomic nervous system is reflected in the HRV. Therefore, HRV is an index reflecting not only the load due to exercise but also various loads on the body such as sleep (rest) state, nutritional state, and external environment (for example, altitude and temperature). Therefore, HRV is not uniform for individual users even if the load due to exercise (TRIMP) is the same, and may vary depending on the environment and physical condition of the same user. Therefore, in support of user training, not only the load when the user is exercising (TRIMP) but also HRV should be used to reflect individual differences by the user and the environment in which the user is placed. Is desirable.

  FIG. 21 is a correlation diagram between HRV and TRIMP. In FIG. 21, the horizontal axis represents the TRIMP value, and the vertical axis represents the HRV value. The values of TRIMP and HRV for each day in FIGS. 19 and 20 are plotted, and an approximate line of the plotted correlation diagram is set to D1. In the example shown in FIG. 21, the approximate line D1 is a straight line having an inclination of 1 (an inclination angle of 45 °). On the other hand, in the environment where the user or the same user is placed, the inclination may be different from the approximate line D1 as in the approximate line D2 and the approximate line D3.

  In the first embodiment, since the mathematical model is used and the exercise load (TRIMP) is the same, the calculated recovery period is the same for any user. It will not always be the same depending on the environment in which it is placed. Therefore, in the second embodiment, a provisional recovery period for provisional fatigue when the user is exercising is provided by reflecting not only TRIMP but also HRV as compared to the first embodiment. Furthermore, by providing information such as transition of HRV, information closer to the actual situation is provided to support user training.

  FIG. 22 is a diagram illustrating an example of a relationship between fatigue accumulated by exercise and a recovery period in the second embodiment. FIG. 22 corresponds to FIG. 3 in the first embodiment, and the curves C1 and C2 correspond to the curves C1 and C2 of FIG. In FIG. 22, a curve C2 is a recovery period calculated using a mathematical model in the first embodiment, and a curve C3 is an actual recovery period of the user (t3 <t2). That is, the user's actual recovery period (from t1 to t3) indicated by the curve C3 with respect to the fatigue level indicated by the curve C1 is greater than the recovery period (from t1 to t2) calculated using the mathematical model indicated by the curve C2. Also short.

  Therefore, in the second embodiment, by correcting the HRV of the user, correction is performed so that the curve C2 approaches the curve C3 so that a recovery period closer to the actual situation can be presented. Since the actual recovery period varies depending on individual differences and environments of the users, the actual recovery period of the user indicated by the curve C3 is shorter than the recovery period calculated using the mathematical model indicated by the curve C2 ( In addition to t3 <t2), there are cases where it becomes longer (t3> t2) and cases where it does not change (t3≈t2).

  As a method of reflecting HRV in the second embodiment, for example, in Equation (3) for calculating TRIMP, the degree of fatigue is such that the slope of the approximate line D2 or the approximate line D3 approaches the slope of the approximate line D1. Exp (−d / τ) corresponding to the attenuation factor of is corrected. As a result, the recovery period for recovering the fatigue level h (t) calculated from TRIMP is corrected, reflecting individual differences among users, environmental conditions of the users, and the like.

  Such correction is performed in steps S11 and S12 shown in FIG. 10 based on the user's TRIMP and HRV data acquired in time series (for example, one month or more). The correction result is displayed on the display unit 50 of the wearable device 200 as shown in FIGS. 11 and 12 as in the first embodiment. Note that the coefficient k in the equation (2) may be corrected.

  As described above, the second embodiment has a function of presenting a recovery period necessary for improving the current fatigue state when the user is exercising similarly to the first embodiment. It reflects the individual differences among users based on HRV, the environment in which the users are placed, and the like.

  23, 24, and 25 are schematic diagrams illustrating examples of images displayed on a notification unit of the exercise support system according to the second embodiment. FIG. 23 shows an example of an image displayed on the display unit 50 of the wearable device 200 in addition to FIGS. 11 and 12 in the second embodiment. In FIG. 23, for example, based on the value of HRV, the current user's condition is divided into three stages of “fair”, “underload”, and “overload”, and 61a (fair), 61b (underload), 61c (overload) in the display area 61 It is displayed graphically and displayed in the display area 62 with characters.

  The screen display shown in FIG. 23 can be displayed on the display unit 50 by switching to the screen display shown in FIGS. 11 and 12 when the user operates the operation unit 230 of the wearable device 200, for example.

  In the second embodiment, the bar graph indicating the daily transition of TRIMP shown in FIG. 19 and the line graph showing the daily transition of HRV shown in FIG. 20 are displayed on the display unit 321 of the mobile terminal device 300. Also good. Providing such a display can help to manage the physical condition of the user.

  In addition, as shown in FIGS. 24 and 25, the HRV state may be displayed in more detail on the display unit 321 of the mobile terminal device 300. In FIG. 24, the distribution (variation) of the interval between the R wave and the next R wave in the time series change of the heartbeat is indicated by an ellipse. The large ellipse is the variation of the past average value of RRI, and the small ellipse is the current variation of RRI. The larger the heart rate fluctuation (HRV), the larger the area of the ellipse.

  In general, when the physical condition is good or the degree of fatigue is low, the HRV variation is large and the graph distribution is also large. When the physical condition is poor or the degree of fatigue is high, the HRV variation is small and the graph distribution is also small. In the graph of FIG. 24, it is easy to compare and display the size of the ellipse that the physical condition is relatively good (less fatigue) in the past and the current data is relatively poor (high fatigue). Can grasp. In addition to the diagram shown in FIG. 24, numerical data such as the length of the minor axis and the major axis of the ellipse and the area of the ellipse may be displayed together.

  FIG. 25 is a bar graph showing past average values and current values of autonomic nervous system activity indexes (TP: Total Power, VLF: Very Low Frequency, LF: Low Frequency, HF: High Frequency). . These numerical data may be displayed together. As shown in FIG. 24 and FIG. 25, by comparing and indicating the past average value and the current value for the index related to HRV, more detailed information is provided to users who have deep knowledge about HRV. be able to.

  As described above, in the second embodiment, compared to the first embodiment, information that is closer to the user's actual condition and more accurate is provided, reflecting individual differences among users and the environment in which the user is placed. It becomes possible to do. In the second embodiment, in addition to information such as the degree of fatigue and the recovery period obtained based on the user's heart rate, the fatigue recovery state obtained based on the user's HRV and the fatigue based on the transition of the HRV Information such as a change in state (recovery state) can be provided.

  The above-described embodiments merely show one aspect of the present invention, and can be arbitrarily modified and applied within the scope of the present invention. As modifications, for example, the following can be considered.

(Modification 1)
In the second embodiment, when the fatigue level and the recovery period are calculated based on TRIMP, the attenuation rate in Equation (3) is corrected using HRV. It is not limited. For example, the attenuation rate may be corrected by comparing the best time in training with the past best time. FIG. 26 is a flowchart illustrating a method of correcting the attenuation rate according to the first modification.

  In step S21 shown in FIG. 26, the best time data is acquired from the data of the exercise performed by the user in the past. The best time refers to the highest record of required time, speed, etc. in, for example, 100m running or marathon. In step S22, the best time data is acquired from the data of the exercise performed by the user this time.

  In step S23, it is determined whether or not the best time has been updated, that is, whether or not the current best time is better than the past best time. When the best time is updated (step S23: YES), the attenuation rate is increased (step S24). On the other hand, when the best time is not updated (step S23: NO), the attenuation rate is decreased (step S25).

  Training is aimed at improving user performance (exercise ability). Therefore, as in Modification 1, it is determined whether or not the exercise ability has been improved based on whether or not the best time has been updated, and if the best time can be updated (if the exercise ability has improved), the exercise load is further increased. It is also possible to aim for further performance. Note that the update determination of the best time may be performed every time of exercise, or may be performed after exercise for a certain period.

(Modification 2)
Further, the attenuation rate may be corrected by comparing the maximum oxygen intake (VO ₂ max) in training with the past maximum oxygen intake. The maximum oxygen intake can also be used as an index for improving the user's performance (exercise ability). FIG. 27 is a flowchart illustrating a method of correcting the attenuation rate according to the second modification.

  In step S31 shown in FIG. 27, an initial value of the maximum oxygen intake is set. The initial value may be past data or may be a value measured first when training is started. In step S32, after starting training, data on the maximum oxygen intake measured by the user during the exercise performed this time is acquired. In step S33, it is determined whether the maximum oxygen intake has increased. If the maximum oxygen intake has increased (step S33: YES), the attenuation rate is increased (step S34). On the other hand, when the maximum oxygen uptake has not increased (step S33: NO), the attenuation rate is decreased (step S35).

  In addition, as long as it is an index related to the improvement of the user's performance (exercise ability), the above-mentioned best time and other indices of maximum oxygen intake can be used. For example, a lactic acid value may be used.

  DESCRIPTION OF SYMBOLS 40 ... Pulse wave sensor part (pulse information detection part), 100 ... Exercise support system, 110 ... Exercise support apparatus, 200 ... Wearable apparatus, 240, 320 ... Notification part, 251 ... Temporary information calculation part (Load information calculation part, fatigue) Degree information acquisition unit, recovery period calculation unit), 300 ... portable terminal device, 312 ... load information calculation unit, 313 ... fatigue level information acquisition unit, 314 ... recovery period calculation unit, 315 ... notification condition determination unit, 316 ... event information Acquisition department.

Claims (16)

A fatigue level information acquisition unit for acquiring fatigue level information on the user's fatigue state;
A recovery period calculation unit for calculating a recovery period necessary for improving the fatigue state;
When the user is exercising, a load information calculation unit that calculates load information representing the exercise load based on the user's pulse information;
Based on the load information, the fatigue level information, and the recovery period, an informing unit for informing the user;
An exercise support system comprising: The exercise support system according to claim 1,
Based on the fatigue level information and the recovery period, comprising a notification condition determination unit for determining a notification condition for performing notification to the user,
The said alerting | reporting part alert | reports to the said user, when the said load information satisfy | fills the said alerting | reporting conditions, The exercise | movement assistance system characterized by the above-mentioned. The exercise support system according to claim 2,
The notification condition includes at least one of an upper limit value, a target value, and a predetermined range regarding the load information. The exercise support system according to claim 3,
The said alerting | reporting part alert | reports to the said user the time or distance required to reach | attain the said upper limit when the exercise | movement load continues, The exercise | movement assistance system characterized by the above-mentioned. The exercise support system according to any one of claims 2 to 4,
When the fatigue information is a predetermined value or more when detecting the start of the user's exercise,
The said alerting | reporting part alert | reports at least any one of the said fatigue degree information, the said recovery period, or the said alerting | reporting conditions, The exercise | movement assistance system characterized by the above-mentioned. The exercise support system according to any one of claims 2 to 5,
An event information acquisition unit for acquiring event information of events related to the user;
The said notification condition determination part determines the said notification condition based on the said event information, the said fatigue degree information, and the said recovery period, The exercise | movement assistance system characterized by the above-mentioned. The exercise support system according to any one of claims 1 to 6,
The notification unit is at least one of provisional fatigue information calculated using the load information calculated based on the pulse information of the user during the exercise, or a provisional recovery period calculated from the provisional fatigue information. An exercise support system characterized by notifying the user of the above. The exercise support system according to any one of claims 1 to 7,
The fatigue support information is calculated based on past load information calculated in an exercise performed by the user in the past. The exercise support system according to any one of claims 1 to 8,
The pulse information includes a heart rate,
The exercise support system, wherein the load information is calculated using the heart rate, the maximum heart rate, and a resting heart rate when the exercise is performed. The exercise support system according to claim 8,
The exercise support system, wherein the recovery period is determined based on the past load information and an elapsed time from the exercise performed by the user in the past. Obtaining fatigue information about the user's current fatigue state;
Calculating a recovery period required to improve the current fatigue state;
Determining notification conditions for executing notification to the user based on the fatigue level information and the recovery period;
When the user is exercising, calculating load information representing the exercise load based on the user's pulse information;
A step of notifying the user when the load information satisfies the notification condition;
An exercise support method comprising the steps of: A notification condition determination unit for determining a notification condition for executing notification to the user based on fatigue level information related to the user's current fatigue state and a recovery period necessary to improve the current fatigue state; ,
A pulse information detector for detecting the pulse information of the user;
A load information calculation unit that calculates load information representing a load of the exercise based on the pulse information of the user when the user is exercising;
A notification unit that notifies the user when the load information satisfies the notification condition;
An exercise support apparatus comprising: The exercise support device according to claim 12,
The exercise support apparatus, wherein the notification condition is at least one of an upper limit value, a target value, and a predetermined range related to the load information. The exercise support apparatus according to claim 13,
The said alerting | reporting part alert | reports the time or distance required to reach | attain the said upper limit to the said user, when the said exercise | movement load continues, The exercise | movement assistance apparatus characterized by the above-mentioned. The exercise support apparatus according to any one of claims 12 to 14,
The notification unit is at least a provisional fatigue level information calculated using the load information calculated based on the pulse information of the user during the exercise, or at least a provisional recovery period calculated from the provisional fatigue level information An exercise support apparatus that notifies the user of any of the above. The exercise support device according to any one of claims 12 to 15,
When the fatigue level information is greater than or equal to a predetermined value when the start of the exercise of the user is detected, the notification unit reports at least one of the fatigue level information, the recovery period, or the notification condition An exercise support device characterized by that.

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