JP2020175003A - Exercise support system, exercise support device, exercise support method, and exercise support program - Google Patents

Abstract

To provide an exercise support system, an exercise support device, an exercise support method, and an exercise support program, for enabling efficient sport training.SOLUTION: An exercise support system 1 comprises: a motion sensor device 10 for acquiring motion data on a motion state of a user A during training; a sleep sensor device 20 for acquiring sleep data on a sleep state of the user A at the time of sleeping after the training; an analysis device 40 that analyzes the sleep data acquired by the sleep sensor device 20 to calculate information on a length of REM sleep and, on the basis of the calculated information, sets a level of the next training; and a presentation device 40 for presenting a training content corresponding to the level set by the analysis device 40 to the user A for the next training.SELECTED DRAWING: Figure 1

Description

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

In order to acquire or improve skills in sports such as running, swimming, cycling, and golf, it is usually necessary to gradually increase the training level from the elementary level according to the physical fitness level of the user. Practice is done.
Then, for example, in Patent Document 1, a target value is set from personal information such as the user's age, weight, and height, and the target value is increased based on the cumulative exercise time in the training results based on the training menu presented by the training device. A training device that allows users to train without being overwhelmed by creating a new training menu based on the corrected target value by correcting it to be set to or lower. Technology is disclosed.

Japanese Unexamined Patent Publication No. 8-52244

By the way, in order to acquire or improve skills in sports, as described above, it is necessary for the user to perform training without losing motivation for training, but it is acquired by training. It is also important to steadily acquire (establish) the skills that have been acquired.
Then, for example, when training is conducted under the guidance of a coach or the like, the coach or the like can objectively judge whether or not the trained skill is acquired, but the training is performed independently (that is, the guidance of the coach or the like). In many cases, it is difficult for the person who is training to judge whether or not he / she has acquired the skill.

Therefore, because a certain skill is not acquired, high-level training is performed, and the skill cannot be improved as expected due to the inability to perform high-level training, or high-level training is performed forcibly. It may cause injury or malfunction.
In addition, even though a certain skill has already been acquired, it may be considered that the skill has not been acquired yet, and the skill level may not be improved efficiently.

The present invention has been made in view of the above problems, and an object of the present invention is to provide an exercise support system, an exercise support device, an exercise support method, and an exercise support program capable of efficiently performing sports training. And.

In order to solve the above problems, the exercise support system according to the present invention is
An operation sensor device that acquires operation data related to the operation state of the user during training,
A sleep sensor device that acquires sleep data related to the user's sleep state during sleep after training,
An analysis device that analyzes the sleep data acquired by the sleep sensor device, calculates information on the length of REM sleep, and sets the level of the next training based on the calculated information.
A presentation device that presents the training content to the user according to the level set by the analysis device for the next training, and a presentation device.
It is characterized by having.

The exercise support device according to the present invention
An operation sensor unit that acquires operation data related to the operation state of the user during training,
A sleep sensor unit that acquires sleep data related to the user's sleep state during sleep after training,
An analysis unit that analyzes the sleep data acquired by the sleep sensor unit, calculates information on the length of REM sleep, and sets the level of the next training based on the calculated information.
For the next training, a presentation unit that presents the training content to the user according to the level set by the analysis unit, and a presentation unit.
It is characterized by having.

The exercise support method according to the present invention
Get the operation data about the operation state of the user during training,
Get sleep data about the user's sleep state during sleep after training,
The acquired sleep data is analyzed to calculate information on the length of REM sleep, and the level of the next training is set based on the calculated information.
For the next training, present the training content according to the set level to the user,
It is characterized by that.

The exercise support program according to the present invention
On the computer
Get the operation data about the operation state of the user during training,
Get sleep data about the user's sleep state during sleep after training,
The acquired sleep data is analyzed to calculate information on the length of REM sleep, and the level of the next training is set based on the calculated information.
Have the user present the training content according to the set level for the next training.
It is characterized by that.

According to the present invention, it is possible to efficiently perform sports training.

It is a figure which shows the whole structure of an exercise support system. It is a block diagram which shows the functional structure of a motion sensor device and a sleep sensor device. It is a figure which shows that a server has a plurality of databases. It is a figure which shows the example of the list of the threshold value about the REM sleep time and the threshold value about the REM sleep ratio. It is a flowchart explaining each process executed in a mobile information terminal. It is a figure which shows the example of (A) the training menu, (B) the example of the training level displayed on the mobile information terminal. It is a figure which shows the example of the sleep figure, and is the figure explaining the period of REM sleep and the like. It is a block diagram which shows the structure of an exercise support device. It is a figure which shows the example of the threshold value about sleep time.

Hereinafter, embodiments of an exercise support system, an exercise support device, an exercise support method, and an exercise support program according to the present invention will be described with reference to the drawings.
The present invention is not limited to the illustrated examples. In the following, a case of running training will be described as an example, but the application of the present invention is not limited to the case of running, but as described above, it covers all sports such as swimming, cycling, and golf. It can be applied when training.

FIG. 1 is a diagram showing the overall configuration of the exercise support system according to the present embodiment.
As shown in FIG. 1, the exercise support system 1 includes a motion sensor device 10, a sleep sensor device 20, a server 30, and a mobile information terminal 40. Then, in the present embodiment, the mobile information terminal 40 is configured to function as an analysis device or a presentation device described later.

The motion sensor device 10 is composed of, for example, a wearable sensor that can be worn on the waist or the like of the user A during training.
The motion sensor device 10 has various sensors that can sequentially detect the movement of the user A who wears the device, and the motion data (for example, up / down, left / right, front / back) regarding the motion state of the user A during training. Acceleration in each direction, body orientation, pitch, mileage, etc.) are acquired. Then, the acquired operation data is transmitted to the mobile information terminal 40 (in this case, the mobile information terminal 40 as a presentation device).

The sleep sensor device 20 is composed of a smart wristband that can be worn on the wrist or the like during sleep, an earphone-type hearable terminal that is worn on the ear, or the like. In addition, it may be worn except during sleep.
The sleep sensor device 20 has various sensors that can sequentially detect the movement and pulse of the user A who wears the device, and sleep data regarding the sleep state of the user during sleep after the training is completed. (For example, body movement, pulse, etc.) are acquired. Then, the acquired sleep data is transmitted to the mobile information terminal 40 (in this case, the mobile information terminal 40 as a presentation device).

FIG. 2 is a block diagram showing the functional configurations of the motion sensor device 10 and the sleep sensor device 20.
As shown in FIG. 2, the motion sensor device 10 and the sleep sensor device 20 include control units 11 and 21, storage units 12 and 22, various sensors 13 and 23, communication units 14 and 24, and operation units 15. 25 and power supply units 16 and 26 are provided. In addition to this, other functional units such as a display screen and a speaker may be provided.

The control units 11 and 21 are composed of a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like. The control units 11 and 21 can also be configured by a GPU (Graphics Processing Unit), a GPGPU (General-purpose computing on graphics processing units), or the like.
Then, the control units 11 and 21 read out the system programs and various processing programs stored in the ROM and the storage units 12 and 22 described later, expand them in the RAM, execute various processes according to the expanded programs, and operate the operation sensor. The operation of each part of the device 10 and the sleep sensor device 20 is controlled.

The storage units 12 and 22 are composed of a non-volatile semiconductor memory, a hard disk, or the like.
Then, the storage units 12 and 22 store various programs executed by the control units 11 and 21 and parameters necessary for executing the processing by the programs, and various data measured by the various sensors 13 and 23 (that is, described above). Operation data and sleep data) are temporarily stored.

As the various sensors 13 and 23, the motion sensor device 10 is equipped with an activity amount sensor, a gyro sensor, and the like necessary for acquiring motion data, and the sleep sensor device 20 is required for acquiring sleep data. It is equipped with various pulse sensors and activity sensors.
In addition, other sensors such as an acceleration sensor and a GPS (Global Positioning System) sensor may be mounted.

The communication units 14 and 24 are for transmitting the operation data and sleep data acquired by the operation sensor device 10 and the sleep sensor device 20 to the mobile information terminal 40, and are based on a wireless standard such as Bluetooth (registered trademark). It is designed to communicate.
It is also possible to configure the communication units 14 and 24 so that the communication from the mobile information terminal 40 and the like can be received.

The operation units 15 and 25 are composed of input means such as switches and buttons, and activate or stop the operation sensor device 10 and the sleep sensor device 20, or provide necessary information to the operation sensor device 10 and the operation sensor device 10. It can be input to the sleep sensor device 20. If the display screen is provided with a touch panel, it is also included in the operation units 15 and 25.
The power supply units 16 and 26 supply necessary power to each part of the operation sensor device 10 and the sleep sensor device 20 from an internal power source such as a battery (not shown), and when the internal power source is a rechargeable type, the power supply units 16 and 26 are charged. Is also being done.

The server 30 (see FIG. 1) is composed of, for example, a server on the cloud.
Then, in the present embodiment, as shown in FIG. 3, the server 30 includes a database 31 for a training list, a database 32 for sleep analysis, and a database 33 for running form analysis.

In this embodiment, as will be described later, various menus are prepared for training according to the purpose of training. For example, when the purpose of training is running, for example, jogging, 5 km completion, 10 km completion, half marathon, full marathon (sub 6, sub 5, sub 4) and the like can be set as a menu (FIG. 6 described later). See (A)).
Further, in the present embodiment, different levels of training content are set for each training menu.

For example, when the training menu is "jogging", the training contents are level 1 "kick back", level 2 "run high", level 3 "eliminate left and right blur", level 4 "get in front". , Level 5 "The position where the foot is attached is directly below the center of gravity" and the like (see FIG. 6 (B) described later).
The training content of each level does not have to be the same in each menu, and the training content of each level is set according to the menu. In addition, the number of levels may be the same or different for each menu.

The database 31 for the training list of the server 30 stores video data, audio data, and the like for explaining the training content for each level of training content of each training menu.
Then, when the training menu information and level information are transmitted from the mobile information terminal 40, the server 30 receives video data, audio data, and the like of the training content corresponding to the menu and level from the training list database 31. Is read out and transmitted to the mobile information terminal 40.

Further, the sleep analysis database 32 of the server 30 stores data for sleep analysis, which will be described later, and when the server 30 receives a data transmission request for sleep analysis from the mobile information terminal 40, the sleep analysis is performed. Data for sleep analysis is read from the database 32 for use and transmitted to the mobile information terminal 40.
The sleep analysis database 32 has, for example, a list of the threshold Trem_th regarding the REM sleep time and the threshold Rrem_th regarding the REM sleep ratio as shown in FIG. 4, as data for the sleep analysis, and the server 30 has mobile information. Based on the information on the gender and age of the user A added to the transmission request from the terminal 40, the threshold Trem_th regarding the REM sleep time corresponding to the gender and the age and the threshold Trem_th regarding the REM sleep ratio are read and transmitted. The REM sleep time and the REM sleep ratio will be described later.

In addition, data for running form analysis is stored in the database 33 for running form analysis of the server 30.
Then, when the server 30 receives the data transmission request for the running form analysis from the mobile information terminal 40, the server 30 reads the data for the running form analysis from the database 33 for the running form analysis and transmits the data to the mobile information terminal 40. It has become.

The operation data of the user A acquired by the operation sensor device 10 is transmitted to the server 30, and the evaluation result of the operation state of the user A is transmitted to the server 30 as described later, and the operation of the server 30 being transmitted. It is also possible to configure the server 30 to continuously manage the training status of the user A by storing data, evaluation results, and the like.

The mobile information terminal 40 (see FIG. 1) is an information processing device that can be carried by the user A, and is composed of, for example, a smartphone or the like.
In the present embodiment, as shown in FIG. 6A, which will be described later, the user A can operate the mobile information terminal 40 to select a training menu.

Further, the mobile information terminal 40 is configured to be able to present the training content corresponding to each level of the menu to the user A.
In the present embodiment, the training content is presented (displayed in this case) in the form of displaying an image with audio on the screen, but for example, the presentation device can be configured as an earphone type device or the like. In that case, the training content is presented to the user A by voice (in this case, voice reproduction).

Further, the mobile information terminal 40 analyzes the sleep data acquired by the sleep sensor device 20 to calculate information on the length of REM sleep, and sets the level of the next training based on the calculated information on the length of sleep. It is designed to do.
Then, the mobile information terminal 40 presents the training content according to the set level to the user A for the next training.

As described above, in the present embodiment, the mobile information terminal 40 analyzes the sleep data, calculates the information on the length of REM sleep, sets the level of the next training, and prepares for the next training. , The analysis device functions as a presentation device for presenting the training content according to the set level to the user A.
It is also possible to configure the analysis device and the presentation device as a device separate from the mobile information terminal 40.

Next, each process executed by the mobile information terminal 40 will be described with reference to FIG. FIG. 5 is a flowchart illustrating each process executed by the mobile information terminal 40.

As shown in FIG. 5, when the program is started (step S1), the mobile information terminal 40 adds the gender and age information of the user A registered in advance in the mobile information terminal 40 and sends a transmission request to the server 30. The threshold value Trem_th regarding the REM sleep time and the threshold value Rrem_th (see FIG. 4) regarding the REM sleep ratio corresponding to the gender and age of the transmission and the transmission from the server 30 are obtained and set (step S2).
At this stage, it is also possible to configure the user A to enter the gender, age, etc., or to enter the password to perform personal authentication. Further, instead of obtaining a threshold value related to REM sleep time or the like from the server 30 each time the program is started, for example, the once obtained threshold value is stored in the mobile information terminal 40 until the age of the user A changes, and the user It is also possible to configure the threshold to be obtained from the server A when the age of A changes.

Subsequently, the mobile information terminal 40 sets the training menu and level (step S3).
In the present embodiment, as shown in FIG. 6A, for example, the mobile information terminal 40 displays a list of training menus on the display screen 41 and causes the user A to select the training menu. , When the training menu is selected by the user A, the selected menu is set. That is, the menu number M of the selected menu is stored.

Then, in the following, once the training menu selected by the user A is set, the mobile information terminal 40 automatically updates the menu to a menu that requires a higher level of skill as the training progresses. Although it is configured to go (specifically, it is configured to perform a process of incrementing the menu number M (step S11) as described later), the user A displays the training menu at an arbitrary timing. It can also be configured to be selectable.

Further, in the present embodiment, the mobile information terminal 40 is configured to automatically set the training level in the menu to 1 when the training menu is set (that is, the level value L is automatically set to 1). For example, as shown in FIG. 6 (B), a list of training contents of each level in the training menu is displayed on the display screen 41 so that the user A can select the training content. (That is, it is also possible to configure the user A to select the level value L by himself / herself).

When the mobile information terminal 40 sets the training menu and level in step S3, the mobile information terminal 40 subsequently transmits the set training menu information (menu number M) and level information (level value L) to the server 30. Based on the video data and audio data of the training content corresponding to the menu and level transmitted from the server 30, the video with audio is reproduced on the display screen 41 and the training content is presented to the user A for guidance. (Step S4).
User A trains according to this guidance.

Subsequently, the mobile information terminal 40 grasps the operation state of the user A based on the operation data transmitted from the operation sensor device 10, and determines whether or not the user A has performed the training (step S5).
At that time, the mobile information terminal 40 causes the server 30 to transmit the data for running form analysis stored in the database 33 for running form analysis, and the operating state of the user A is set based on the data. Evaluate the operating condition of user A by judging whether the condition of the operating condition required in is satisfied, or inform user A of the content to be improved (for example, kicking back more strongly). It can also be configured to support user A.

Then, when the mobile information terminal 40 determines that the user A has performed the training (step S5; YES), the mobile information terminal 40 transmits the operation data transmitted from the operation sensor device 10 to the server 30 and stores it.

Subsequently, the mobile information terminal 40 determines whether or not the user A has slept based on the sleep data transmitted from the sleep sensor device 20 (step S6), and determines that the user A has slept. (Step S6; YES), the sleep data acquired by the sleep sensor device 20 is analyzed.
Whether the user A is sleeping or awake is grasped by determining the body movement of the user A (including the presence or absence of the body movement) from the value of the activity amount sensor mounted on the sleep sensor device 20. be able to. Further, in the present embodiment, the mobile information terminal 40 is configured to determine whether or not the user A has slept as described above. For example, after the user A sleeps, he / she sleeps when he / she awakens. It is also possible to configure the sensor device 20 to transmit sleep data to the mobile information terminal 40.

On the other hand, it is possible to determine whether or not the sleep state of the user A is REM sleep from the value of the pulse sensor mounted on the sleep sensor device 20.
That is, a person's heart rate decreases as sleep becomes deeper, and the pulse becomes less regular during non-REM sleep, whereas the pulse increases during REM sleep when sleep becomes lighter and becomes REM sleep. Becomes irregular. Therefore, it is possible to determine whether or not the sleep state of the user A is REM sleep by observing the increase / decrease and regularity (irregularity) of the pulse.

Therefore, the mobile information terminal 40 uses this to analyze the sleep data (activity amount, pulse) acquired by the sleep sensor device 20 and calculate information on the length of REM sleep. In the present embodiment, the REM sleep time and the REM sleep ratio are calculated as information on the length of the REM sleep (function as an analysis device).
Hereinafter, a method of calculating the REM sleep time and the REM sleep ratio will be specifically described by exemplifying.

For example, out of the sleep data transmitted from the sleep sensor device 20, the period during which the user A was sleeping is calculated based on the value of the activity amount sensor, and the length of the period is calculated as the sleep time Ts.
Further, among the sleep data transmitted from the sleep sensor device 20, the sleep depth of the user A is calculated based on the increase / decrease and regularity (irregularity) of the value of the pulse sensor during that period, and the sleep diagram (hypnogram). ) Is created, for example, as shown in FIG. The period when the sleep stage is R corresponds to the period of light REM sleep. The sleep stages N1 to N4 represent the depth of non-REM sleep.

Then, as information on the length of REM sleep, the total period of REM sleep, that is, the total of T1 to T4 in FIG. 7 can be calculated as the REM sleep time Trem.
Trem = T1 + T2 + T3 + T4 ... (1)
The number of times that REM sleep appears during the sleep time Ts is not limited to four, and the period of REM sleep is totaled by the number of times that REM sleep appears.

In addition, the REM sleep ratio Rrem can be calculated as information on the length of REM sleep.
The REM sleep ratio Rrem (%) is calculated as a ratio of the REM sleep time Tre to the sleep time Ts.
Rrem = 100 × Trem / Ts… (2)
That is, the above-mentioned REM sleep time Tre is, so to speak, corresponding to the absolute length of REM sleep, and is a value representing the amount of REM sleep. Further, the above-mentioned REM sleep ratio Rrem corresponds to, so to speak, the relative length of REM sleep, and is a value representing the quality of sleep (that is, the high ratio of REM sleep in sleep).

In the present embodiment, the mobile information terminal 40 analyzes the sleep data acquired by the sleep sensor device 20 to create a sleep diagram as shown in FIG. 7, and uses REM sleep time Trem as information regarding the length of REM sleep. And the REM sleep ratio Rrem are calculated (step S7).
As information on the length of REM sleep, it is also possible to configure so as to calculate only one of the REM sleep time Trem and the REM sleep ratio Rrem. Further, for example, the length of the longest period of each period T1 to T4 of REM sleep can be configured to be information on the length of REM sleep.

Then, the mobile information terminal 40 sets the level of the next training based on the calculated information on the length of REM sleep.
Specifically, in the mobile information terminal 40, the calculated REM sleep time Tre is equal to or greater than the REM sleep time threshold Trem_th obtained from the server 30, and the calculated REM sleep ratio Rrem is the threshold for the REM sleep ratio. If it is Rrem_th or more (step S8; YES), the above-mentioned level value L is incremented (step S9).

During sleep, memory is organized in the brain, and the skills of the trained sport (running in this case) are memorized during REM sleep as procedural memory (also referred to as non-declarative memory).
Therefore, in the present invention, after training, it is determined whether or not the user A has sufficiently taken REM sleep during sleep, and when the user A has sufficiently taken REM sleep, the trained sports skill is acquired by the user A. It has come to be judged that it has arrived.

Then, in the present embodiment, as a criterion for determining whether or not the user A has sufficiently taken REM sleep during sleep after training, as described above, the REM sleep time Trem is equal to or greater than the threshold Trem_th regarding the REM sleep time. , The condition is that the REM sleep ratio Rrem is equal to or higher than the threshold Rrem_th for the REM sleep ratio.
That is, when the total period of REM sleep (REM sleep time) is sufficiently long and the ratio of REM sleep time to the total sleep time is sufficiently large, user A takes sufficient REM sleep during sleep after training. It is configured to judge that it was.

In addition, as a criterion for determining whether or not User A has sufficiently taken REM sleep during sleep after training, the REM sleep time Trem is equal to or higher than the threshold Trem_th for the REM sleep time, and the REM sleep ratio Rrem is related to the REM sleep ratio. It can also be configured to satisfy either one of the threshold Rrem_th and above.
Further, in the present embodiment, as information on the length of REM sleep, the REM sleep time Trem and the REM sleep ratio Rrem are focused on as described above, but in addition to this, for example, each period of REM sleep (in FIG. 7). It is also possible to pay attention to the length of the longest period among T1 to T4) and to determine whether or not the user A has sufficiently REM sleep during sleep after training. ..

Furthermore, it is generally said that a person gets enough sleep by taking four cycles of non-REM sleep (90 minutes) and REM sleep (90 minutes), that is, about 6 hours of sleep, after training. As a judgment as to whether or not User A has sufficiently taken REM sleep during sleep, the number of REM sleeps is 4 times in 6 hours of sleep time, and the timing of REM sleep is a 90-minute cycle. It is also possible to configure it on the condition that both or one of them is satisfied.
The 90-minute cycle described above varies from person to person, and may be appropriately changed according to the individual.

As described above, the mobile information terminal 40 increments the level value L (step S9) when the condition of step S8 is satisfied (step S8; YES).
In this way, the mobile information terminal 40 sets the level of the next training (level 2 in this case) based on the calculated information on the length of REM sleep (function as an analysis device). ..

For example, when the level value L = 1 is set in the process of step S3, the level value L becomes 2 when the level value L is incremented in step S9.
In the example of FIG. 6B when the menu "1. Jogging" is selected, if level 1 "kick back" is set in the process of step S3, the level value L is set in step S9. When incremented, it will shift to level 2 "run high".

In this case, since the menu "1. Jogging" further has levels 3 to 5 (see FIG. 6B), even if the training level shifts from level 1 to level 2 as described above, the training It cannot be said that the menu "1. Jogging" has been completed.
Therefore, in this case, the mobile information terminal 40 determines that the menu (in this case, "1. Jogging") has not been completed (step S10; NO), returns to the process of step S3, and returns to the process of the menu number M ("1. Jogging"). In the above example, M = 1) and the level value L (L = 2 in the above example) are set, and the training menu and level are set for the next training (step S3).

Then, in the subsequent process of step S4, the mobile information terminal 40 presents the training content according to the set level to the user A when the next training is performed (function as a presentation device). ..

On the other hand, if the mobile information terminal 40 determines that the condition is not satisfied in the determination process of step S8 (step S8; NO), the level value L is not incremented. That is, in the present embodiment, when at least one of the REM sleep time Trem and the REM sleep ratio Rrem does not reach the thresholds Trem_th and Rrem_th, the REM sleep is not sufficient and the trained sports skill is acquired by the user A. The level value L is kept unchanged because it is considered not to be attached.
As described above, in the present embodiment, based on the calculated information on the REM sleep length, if the information on the sleep length does not satisfy the predetermined condition, the level value L is not changed, and the next training is performed. Level (level 1 in this case) is set (function as an analyzer).

In this case as well, since it cannot be said that the training menu "1. Jogging" has been completed (step S10; NO), the mobile information terminal 40 returns to the process of step S3, and the menu number M (in the above example, the above example). M = 1) and the level value L (L = 1 in the above example) are set, and the training menu and level are set for the next training (step S3). In this case, the training menu and level will not be changed after all.
Then, in the subsequent process of step S4, the mobile information terminal 40 has the training content according to the set level when the next training is performed (in this case, the same training content as that presented at the previous training). Is presented to user A (function as a presenting device).

Further, when the level value L is incremented in the process of step S9 above, the mobile information terminal 40 determines that the menu is completed when the level value L exceeds the maximum level value in the menu. (Step S10; YES).
Specifically, for example, when the menu "1. Jogging" (maximum level value L is 5 (see FIG. 6B)) is selected, the level value L is incremented in step S9 above. When the level value L becomes 6, since the level value L exceeds the maximum level value of 5 in the menu, the mobile information terminal 40 determines that the menu "1. Jogging" has been completed.

In this case, the mobile information terminal 40 subsequently increments the menu number M (step S11).
In the example of FIG. 6A, the training menu automatically shifts from "1. Jogging" to "2.5km complete". As described above, the user A can be configured to be able to select or change the training menu by himself / herself.

Then, the mobile information terminal 40 returns to the process of step S3 and sets the menu number M (M = 2 in the above example). Further, since the training menu becomes a new menu, the level value L is set to 1 in order to start the training of the new menu from the lowest level.
In this way, the mobile information terminal 40 sets the training menu (menu number M = 2) and level (level value L = 1) for the next training (step S3).
Then, in the subsequent process of step S4, the mobile information terminal 40 presents the training content according to the set menu and level to the user A when the next training is performed.

As described above, according to the present embodiment, the motion sensor device 10 acquires motion data relating to the motion state of the user A during training, and the sleep sensor device 20 relates to the sleep state of the user A during sleep after training. The sleep data (body movement and pulse) is acquired and transmitted to the analyzer (portable information terminal 40). The analyzer (portable information terminal 40) analyzes the sleep data acquired by the sleep sensor device 20 to calculate information on the length of REM sleep (REM sleep time Trem and REM sleep ratio Rrem), and is based on the calculated information. Set the level of the next training (that is, the level value L is incremented or maintained unchanged). Then, the presenting device (portable information terminal 40) presents the training content according to the level set by the analysis device to the user for the next training.

Therefore, when User A gets enough REM sleep during sleep and acquires the skill of the trained sport (running in the above case), the training level is raised and the level is adjusted for the next training. By presenting the training content to the user A, it becomes possible for the user A to perform a higher level of training, and it is possible to surely improve the skill in the training of sports.

In addition, if user A's sleep REM sleep is not sufficient and the trained sports skills are not acquired, the training level is maintained without being raised, and training according to the level is prepared for the next training. By presenting the content to user A (in this case, presenting the same training content as that presented during the previous training), it becomes possible for user A to perform the training at that level again, and sports training. It is possible to surely acquire the skill in.

By the way, it is also possible to configure the exercise support system 1 according to the above embodiment as one device (exercise support device).
In this case, as shown in FIG. 8, the exercise support device 100 has a motion sensor unit 101 (corresponding to the motion sensor device 10 described above) that acquires motion data related to the motion state of the user A during training, and sleep after training. The sleep sensor unit 102 (corresponding to the sleep sensor device 20 described above) that acquires sleep data regarding the sleep state of the user A at the time and the sleep data acquired by the sleep sensor unit 102 are analyzed to obtain information on the length of REM sleep. Analysis unit 103 (corresponding to the above analysis device (portable information terminal 40)) that calculates and sets the level of the next training based on the calculated information on the length of REM sleep, and analyzes for the next training. It is configured to include a presentation unit 104 (corresponding to the above-mentioned presentation device (portable information terminal 40)) that presents the training content according to the level set by the unit 103 to the user A.

The exercise support device 100 can be configured as a wearable terminal such as a smart wristband that can be worn on a wrist or the like, an earphone-type hearable terminal that is worn on the ear, or the like.
In this way, even if the exercise support system 1 according to the above embodiment is configured as one exercise support device 100, the exercise support device 100 can function in exactly the same manner as the above exercise support system 1. Therefore, it is possible to accurately exert the excellent action and effect.

As shown in FIG. 8, the exercise support device 100 can be configured to have a database 105 corresponding to each database 31 to 33 in the exercise support system 1. Further, similarly to the above-mentioned exercise support system 1, for example, a server 30 on the cloud is provided with each database 31 to 33, and communication is performed between the exercise support device 100 and the server 30 to communicate with each database 31 to 33. It is also possible to configure it so that necessary information etc. can be obtained from.

Although the embodiments of the present invention have been described above, it goes without saying that the present invention is not limited to such embodiments and can be variously modified without departing from the gist thereof.

For example, in the exercise support system 1 and the exercise support device 100 according to the above embodiment, when the information on the length of REM sleep calculated by the analysis device and the analysis unit satisfies a predetermined condition, the training level is immediately improved. The case was explained.
That is, as shown in the flowchart of FIG. 5, for example, when the REM sleep time Tre and the REM sleep ratio Rrem satisfy the condition of step S8, the level value L is immediately incremented in the next step S9.

However, instead of configuring in this way, for example, when user A trains and repeats that the information on the length of REM sleep during sleep satisfies a predetermined condition a predetermined number of times, the training level is set. It may be configured to increase (increment the level value L).
With this configuration, it is possible for the user A to surely acquire the skill in sports training, and it is possible to further improve the skill after surely acquiring the skill.

Further, in the exercise support system 1 and the exercise support device 100 according to the above embodiment, when the information on the length of REM sleep calculated by the analysis device or the analysis unit does not satisfy the predetermined condition, the training level is set. The case where it is not improved was explained.
That is, as shown in the flowchart of FIG. 5, for example, if the REM sleep time Tre and the REM sleep ratio Rrem do not satisfy the condition of step S8, the next step S9 is skipped, so that the level value L is not incremented. Therefore, unless the information on the length of REM sleep meets a predetermined condition, the user A will be trained at the same level.

However, this may cause User A to lose interest in and motivation for training and stop training.
Therefore, for example, when the state in which the information regarding the length of REM sleep does not satisfy the predetermined condition is repeated a predetermined number of times, the level value L may be incremented so that the next level of training is performed. ..

In addition, when training a certain menu, the level of training is changed in the menu each time the training is performed. If the information on the length of REM sleep during sleep after a certain level of training meets certain conditions, that level of training is considered to have been mastered and that level is trained in the menu. It may be configured to be excluded from the options for changing the level of.

In this case, when all the levels in the menu are excluded from the options (when all the information on the length of REM sleep during sleep after training each level in the menu meets the predetermined conditions). ), The menu is completed.
With this configuration, the training content changes each time the user A trains, and the same training content is continuously presented, so that the user A loses interest and motivation for the training and does not perform the training. This can be prevented, the user A can be surely trained, and the user A can acquire or improve the skill in the training of sports.

On the other hand, in the exercise support system 1 and the exercise support device 100 according to the above embodiment, the case of determining whether or not the REM sleep time Trem and the REM sleep ratio Rrem are equal to or higher than the threshold values Trem_th and Rrem_th, respectively, has been described. In addition, for example, as shown in FIG. 9, the threshold value Ts_th is also set for the sleep time Ts (see FIG. 7), and it is also configured to determine whether or not the sleep time Ts is equal to or higher than the threshold value Ts_th for the sleep time Ts. You may.
If you do not get enough sleep, you may not be able to acquire sufficient skills even after training due to lack of concentration. Therefore, by configuring as described above, it is possible to check whether or not the user A has trained in a state where he / she has sufficiently slept, and when the training is performed in that state, the training level is raised. As a result, it becomes possible for the user A to surely acquire the skill in the training of sports and further improve the skill.

Although the embodiments of the present invention have been described above, the scope of the present invention is not limited to the above-described embodiments, and the scope of the invention described in the claims includes the equivalent scope thereof.
The inventions described in the claims originally attached to the application of this application are added below. The claims in the appendix are as specified in the claims originally attached to the application for this application.

[Additional Notes]
<Claim 1>
An operation sensor device that acquires operation data related to the operation state of the user during training,
A sleep sensor device that acquires sleep data related to the user's sleep state during sleep after training,
An analysis device that analyzes the sleep data acquired by the sleep sensor device, calculates information on the length of REM sleep, and sets the level of the next training based on the calculated information.
A presentation device that presents the training content to the user according to the level set by the analysis device for the next training, and a presentation device.
An exercise support system characterized by being equipped with.
<Claim 2>
The exercise support system according to claim 1, wherein the presentation device presents the training content to a user before training.
<Claim 3>
The exercise support system according to claim 1 or 2, wherein the information regarding the length of REM sleep is the REM sleep time calculated as the total of the periods of REM sleep.
<Claim 4>
The information regarding the length of REM sleep is described in any one of claims 1 to 3, wherein the information regarding the length of REM sleep is the ratio of REM sleep calculated as a ratio of the total period of REM sleep to the sleep time. Exercise support system.
<Claim 5>
An operation sensor unit that acquires operation data related to the operation state of the user during training,
A sleep sensor unit that acquires sleep data related to the user's sleep state during sleep after training,
An analysis unit that analyzes the sleep data acquired by the sleep sensor unit, calculates information on the length of REM sleep, and sets the level of the next training based on the calculated information.
For the next training, a presentation unit that presents the training content to the user according to the level set by the analysis unit, and a presentation unit.
An exercise support device characterized by being equipped with.
<Claim 6>
Get the operation data about the operation state of the user during training,
Get sleep data about the user's sleep state during sleep after training,
The acquired sleep data is analyzed to calculate information on the length of REM sleep, and the level of the next training is set based on the calculated information.
For the next training, present the training content according to the set level to the user,
An exercise support method characterized by this.
<Claim 7>
On the computer
Get the operation data about the operation state of the user during training,
Get sleep data about the user's sleep state during sleep after training,
The acquired sleep data is analyzed to calculate information on the length of REM sleep, and the level of the next training is set based on the calculated information.
Have the user present the training content according to the set level for the next training.
An exercise support program characterized by this.

1 Exercise support system 10 Motion sensor device 20 Sleep sensor device 40 Mobile information terminal (analysis device, presentation device)
100 Exercise support device 101 Motion sensor unit 102 Sleep sensor unit 103 Analysis unit 104 Presentation unit A User L level value (training level)
M menu number (training level)
Rrem REM sleep rate (information on REM sleep length, REM sleep rate)
T1-T4 REM sleep period Trem REM sleep time (information on REM sleep length, REM sleep time)
Ts sleep time

Claims (7)

An operation sensor device that acquires operation data related to the operation state of the user during training,
A sleep sensor device that acquires sleep data related to the user's sleep state during sleep after training,
An analysis device that analyzes the sleep data acquired by the sleep sensor device, calculates information on the length of REM sleep, and sets the level of the next training based on the calculated information.
A presentation device that presents the training content to the user according to the level set by the analysis device for the next training, and a presentation device.
An exercise support system characterized by being equipped with. The exercise support system according to claim 1, wherein the presentation device presents the training content to a user before training. The exercise support system according to claim 1 or 2, wherein the information regarding the length of REM sleep is the REM sleep time calculated as the total of the periods of REM sleep. The information regarding the length of REM sleep is described in any one of claims 1 to 3, wherein the information regarding the length of REM sleep is the ratio of REM sleep calculated as a ratio of the total period of REM sleep to the sleep time. Exercise support system. An operation sensor unit that acquires operation data related to the operation state of the user during training,
A sleep sensor unit that acquires sleep data related to the user's sleep state during sleep after training,
An analysis unit that analyzes the sleep data acquired by the sleep sensor unit, calculates information on the length of REM sleep, and sets the level of the next training based on the calculated information.
For the next training, a presentation unit that presents the training content to the user according to the level set by the analysis unit, and a presentation unit.
An exercise support device characterized by being equipped with. Get the operation data about the operation state of the user during training,
Get sleep data about the user's sleep state during sleep after training,
The acquired sleep data is analyzed to calculate information on the length of REM sleep, and the level of the next training is set based on the calculated information.
For the next training, present the training content according to the set level to the user,
An exercise support method characterized by this. On the computer
Get the operation data about the operation state of the user during training,
Get sleep data about the user's sleep state during sleep after training,
The acquired sleep data is analyzed to calculate information on the length of REM sleep, and the level of the next training is set based on the calculated information.
Have the user present the training content according to the set level for the next training.
An exercise support program characterized by this.

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