JP7748670B2 - Training support system and training support method - Google Patents

Description

This disclosure relates to a training support system and training support method that provide training support to users.

Traditionally, there have been training menu suggestion systems that are configured to suggest training menus suited to a user by taking into consideration data on the user's physical characteristics and athletic ability stored in a database, as well as the user's exercise history (see, for example, Patent Document 1).

The training menu suggestion system described in Patent Document 1 stores the type, duration, and number of times that a user performs exercise at a training facility in a database as an exercise history.

JP 2011-189014 A

However, the training menu suggestion system in Patent Document 1 does not disclose how, when a user changes training facilities, the various data stored in the database about training facilities the user has previously used is used at the training facility the user is currently using.

One aspect of the present disclosure aims to provide a training support system and training support method that can provide appropriate training support to a user even if the user changes training facilities.

To solve the above problem, a training support system according to one aspect of the present disclosure includes a management server having a management database and a facility database. The management database stores user information extracted from usage information of multiple users who use multiple training facilities. When a user transfers from one of the multiple training facilities to another, the management server continues to use the user information stored in the management database when the user used the previous training facility when the user uses the new training facility.

A training support method according to one aspect of the present disclosure includes a saving step, a creating step, and a transmitting step. In the saving step, user information for each user is saved in a management database of a management server from usage information for multiple users who use multiple training facilities. In the creating step, the user information saved in the management database in the saving step is analyzed using a predetermined algorithm to create suggested training information suitable for the specific user. In the transmitting step, the suggested information created in the creating step is sent from the management server to a communication device via a network.

According to one aspect of the present disclosure, it is possible to provide appropriate training support to a user even if the user changes training facilities.

1 is a diagram illustrating an overall configuration of a training support system according to a first embodiment of the present disclosure. FIG. 2 is a block diagram showing the electrical configuration of a control device of a management server according to the first embodiment. 10 is a flowchart showing a flow of saving user information of a user in the training support system according to the first embodiment. (a) is a table showing an example of body shape information of a user using a facility in embodiment 1, (b) is a table showing an example of training information of the user, and (c) is a table showing an example of dietary information of the user. 1 is a flowchart showing a flow of providing suggested information to a user by the training support system according to the first embodiment. 1A is a diagram showing an example of a training menu displayed on a display unit of a communication device according to a first embodiment, and FIG. 1B is a diagram showing an example of a meal menu. 10 is a flowchart showing a flow of saving user information of a user by the training support system according to the second embodiment. FIG. 11 is a layout diagram of each machine within a facility of a training support system according to a third embodiment.

[Embodiment 1]
An example of the operation of the training support system 1 according to the first embodiment of the present disclosure will be described below with reference to FIGS.

[General configuration of training support system]
Fig. 1 is a diagram showing the overall configuration of a training support system 1 according to embodiment 1. As shown in Fig. 1, the training support system 1 includes a management server 2 and communication devices 4-1 to 4-5. Hereinafter, the communication devices 4-1 to 4-5 will be collectively referred to as communication device 4.

The management server 2 is located in the management center X and has a control device 10, a management database 20, and a facility database 30. The control device 10 is connected to the management database 20 and the facility database 30. An administrator is stationed at the management center X and manages the operation of the training support system 1.

User information is stored in the management database 20. This user information is information on users U1 and U2 who use training facility A, user U3 who uses training facility B, and users U4 and U5 who use training facility C, with personal information regarding each user U1 to U5's use of training facilities A, B, and C removed. Hereinafter, training facilities A, B, and C will be referred to simply as facilities A, B, and C, respectively. Note that the number of facilities A, B, and C can be changed as appropriate.

"User information," which will be described in more detail below, includes a user ID, which is identification information for identifying each user U1-U5, body type information for each user U1-U5, training information for each user U1-U5, and diet information for each user U1-U5. This user information is stored in the management database 20 of the management server 2 in association with the user ID.

Furthermore, "personal information" includes, for example, reservation information, contract information, payment information, and information regarding trainer comments for each user U1 to U5.

The management database 20 also stores recommendation logic. The recommendation logic is a predetermined algorithm that uses parameters such as each user's gender, body type, and training goals to create suggested information such as optimal training and meal menus for each user.

The control device 10, which will be described in more detail below, is, for example, a CPU (Central Processing Unit). The control device 10 uses the user information stored in the management database 20 to provide appropriate support for training and other activities to each of users U1 to U5.

The training support system 1 of embodiment 1 assumes that users U1 to U5 may change facilities A, B, and C that they use. For example, as shown in FIG. 1, if user U2 moves from facility A to facility B, user U2's user information remains stored in the management database 20. Therefore, even if user U2 moves from facility A to facility B, the control device 10 of the management server 2 can continue to use the user information stored in the management database 20 when user U2 used facility A before the move when user U2 uses facility B after the move.

The facility database 30 has a first storage device 30A, a second storage device 30B, and a third storage device 30C. The first storage device 30A is for storing information related to facility A. The second storage device 30B is for storing information related to facility B. The third storage device 30C is for storing information related to facility C. Information related to the facilities includes personal information of users who use the facilities and facility equipment information.

The first storage device 30A, the second storage device 30B, and the third storage device 30C may be a single device. In this case, the single device only needs to have an area capable of separately storing information related to facility A, facility B, and facility C.

The facility database 30 stores the personal information of each user U1 to U5 for each facility A, B, and C. That is, the first storage device 30A stores the personal information of user U1 who uses facility A. The second storage device 30B stores the personal information of users U2 and U3 who use facility B. The third storage device 30C stores the personal information of users U4 and U5 who use facility C.

Various sensors 6A, 6B, 6C are installed in each of facilities A, B, C. Sensors 6A, 6B, 6C include, for example, cameras installed in each of facilities A, B, C, sensors installed on machines or equipment to count the number of times the user performs each exercise, sensors attached directly to the user to measure the user's steps, and acceleration sensors and angular velocity sensors to detect the user's body movements.

The network 50 may be constructed, for example, using the Internet or a LAN (Local Area Network). The management server 2 may provide services provided via a Web API (Application Programming Interface) or the like, such as functions for settling facility usage fees for each user, managing user entry and exit to each facility, and managing each user's meals.

Communication devices 4-1 to 4-5 are carried by users U1 to U5, and may be smartphones, mobile phones, wearable devices, etc. User U1, who uses facility A, can communicate with management server 2 via communication device 4-1. Users U2 and U3, who use facility B, can communicate with management server 2 via communication devices 4-2 and 4-3. Users U4 and U5, who use facility C, can communicate with management server 2 via communication devices 4-4 and 4-5.

A dedicated application (hereinafter referred to as the "app") for using the training support system 1 is pre-downloaded onto each of the communication devices 4-1 to 4-5 of each of users U1 to U5. By launching the app, each user U1 to U5 can send various information to the management server 2.

In addition, each user U1 to U5 receives the proposed information sent from the management server 2 using their own communication devices 4-1 to 4-5, and can check the content of the proposed information from the management server 2 by visually checking their respective displays 41 to 45.

[Configuration of the control device of the management server]
Fig. 2 is a block diagram showing the electrical configuration of the control device 10 of the management server 2. As shown in Fig. 2, the control device 10 has a processing unit 11, an acquisition unit 12, a proposal information output unit 13, a memory 14, and a communication unit 15, which are electrically connected via a bus.

The processing unit 11 controls each component of the control device 10 by using the programs and setting data stored in the memory 14. The acquisition unit 12 acquires user information for each user U1 to U5 stored in the management database 20.

The suggested information output unit 13 creates suggested training information for each user U1 to U5 based on the recommendation logic. The suggested information output unit 13 creates training menus and meal menus that are optimal for each user. The suggested information output unit 13 transmits the created suggested information to the communication device 4 via the communication unit 15.

The memory 14 stores various programs and setting data for controlling the control device 10. The memory 14 also temporarily stores proposal information created by the proposal information output unit 13. The communication unit 15 communicates with the facility database 30 and the communication device 4 via the network 50.

[User usage information storage process]
Next, a method for extracting user usage information by the training support system 1 of embodiment 1 will be described with reference to FIGS. 3 and 4. FIG. 3 is a flowchart showing the flow of saving user information of a user in the training support system 1 of embodiment 1. FIG. 4(a) is a table showing an example of body type information of a user who uses a facility. FIG. 4(b) is a table showing an example of user training information. FIG. 4(c) is a table showing an example of user diet information.

In embodiment 1, a method for extracting usage information for user U1 who is currently using facility A will be described. As shown in FIG. 3, first, user U1 transmits their user ID and information about the communication device 4 they are using to the management server 2 via their communication device 4 (S1).

The user ID can be an email address, account name, etc. A dedicated application (hereinafter referred to as the "app") for using the training support system 1 is assumed to have been downloaded in advance to the communication device 4-1 owned by user U1. Examples of information related to the communication device 4 include a telephone number.

When user U1 launches the app on communication device 4-1 and then enters their user ID, an input screen is displayed on display unit 41. Note that a setting may be made in which a predetermined password is entered after entering the user ID.

Next, user U1 enters personal information into the input screen of the display unit 41. The communication device 4-1 transmits the entered personal information to the facility database 30 of the management server 2 (S2). Examples of "personal information" include user U1's contract information, training plan information, reservation information, and payment information.

Then, the control device 10 stores user U1's personal information for each facility in the facility database 30 (S3). Specifically, the management server 2 stores user U1's personal information, such as contract information, plan information, reservation information, and payment information related to facility A, in the first storage device 30A of the facility database 30. In this way, the facility database 30 can store and manage the personal information of each user U1 to U5 for each facility A, B, and C.

After S3, user U1 inputs their own body type information into the input screen displayed on the display unit 41 of communication device 4-1 (S4). Examples of "body type information" include gender, age, height, weight, body fat percentage, BMI, etc., as shown in Figure 4(a).

Next, user U1 inputs training information into the input screen of communication device 4-1 (S5). Examples of "training information" include training level, purpose of use, target weight, time, calories burned, body part, and muscle name, as shown in Figure 4(b). The example shown in Figure 4(b) shows a case where intermediate-level user U1 aims to burn 600 kcal and improve abdominal and arm muscle strength through 90 minutes of training.

Exercises include crunches, squats, dumbbell presses, leg extensions, hip lifts, thigh raises, chest presses, leg presses, leg curls, standing on one leg, shoulder presses, arm curls, and walking.

In S5, various data detected by sensors 6A, 6B, and 6C installed in each of facilities A, B, and C may be automatically transmitted to management server 2. Sensors 6A, 6B, and 6C may include, for example, sensors installed on machines or equipment installed in each of facilities A, B, and C that count the number of times a user performs a predetermined training session, sensors attached directly to the user that measure the user's steps, and acceleration sensors and angular velocity sensors that detect the user's body movements.

Furthermore, sensors 6A, 6B, and 6C may be cameras installed in each facility A, B, and C. In this case, the control device 10 of the management server 2 can recognize the user's physical movements and count the number of changes in the user's posture by analyzing the images of the user captured by the cameras. This makes it possible to count the number of times the user performs a predetermined training menu.

Next, user U1 inputs meal information into the input screen of communication device 4-1 (S6). Examples of "meal information" include the date of the meal, calories ingested, and amounts of protein, fat, carbohydrates, and water intake, as shown in FIG. 4(c). Note that input of meal information may be omitted. Furthermore, the input screens for the user's body type information, training information, and meal information may be different or may be the same screen.

Then, user U1 transmits the user information for user U1 entered in steps S4 to S6 to the management server 2 via communication device 4-1 (S7). The control device 10 stores the received user information for user U1 in the management database 20 (S8: storage step).

User information includes information about the user, such as user ID, gender, birthday, height, weight, body fat percentage, BMI, basal metabolic rate, muscle mass, muscle percentage, skeletal muscle percentage, calories burned, training level, target weight, weight loss period, and number of steps.

In this way, in the training support system 1 of embodiment 1, user information extracted from the usage information of an unspecified number of users is stored in the management database 20, and is used to provide suggested information such as training menus and meal menus that are suitable for each user.

[Procedure for providing suggested information to users]
Next, a flow of providing suggested information to the user U1 by the training support system 1 in embodiment 1 will be described with reference to Fig. 5 and Fig. 6. Fig. 5 is a flowchart showing a flow of providing suggested information to the user by the training support system 1. Fig. 6 is a diagram showing an example of a display on the display unit 41 of the communication device 4.

As shown in FIG. 5, first, user U1 requests the management server 2 to provide suggested information via communication device 4-1 (S11). After S11, the control device 10 of the management server 2 obtains user information about user U1 and recommendation logic suitable for user U1 from the management database 20 (S12). It is assumed that multiple recommendation logics are provided according to each user's body type information, training information, diet information, etc.

For example, as shown in Figure 4(a), if a 33-year-old man with a height of 176 cm and a weight of 66 kg sets a target weight of 60 kg and trains to increase abdominal and arm strength, the control device 10 obtains recommendation logic appropriate for these conditions from the management database 20.

Then, the suggested information output unit 13 creates suggested information based on the recommendation logic (S13: creation step). Specifically, the suggested information output unit 13 uses a predetermined algorithm to analyze the user information of user U1, thereby creating suggested information regarding training suitable for user U1.

In addition, in S13, the proposed information output unit 13 may create proposed information by referring to services such as meal menu creation and nutritional calculations provided via API, in addition to the recommendation logic stored in the management database 20.

After S13, the management server 2 transmits the proposed information created in S13 to the communication device 4-1 (S14: transmission step). The proposed information includes a training menu that user U1 should preferably perform, a meal menu that user U1 should eat, and the like. This proposed information will differ depending on each user's gender, body type, training level, training purpose, etc.

Then, the communication device 4-1 receives the proposal information from the management server 2 (S15) and displays the received proposal information on the display unit 41 (S16).

Figure 6 shows an example of the display on the display unit 41 of the communication device 4-1. Figure 6(a) shows an example of a training menu R1 suitable for user U1. In the example shown in Figure 6(a), the recommended machine name, body part to be trained, number of sets, training time, training effect, training level, and training location are displayed.

(b) in Figure 6 also shows an example of a meal menu R2 suitable for user U1. The example shown in (b) in Figure 6 displays the date of the meal, calorie intake, meal menu, and intake amount for each meal. The meal menu includes rice, chicken, rolled omelet, miso soup, vegetables, and milk.

By checking the content of the suggested information displayed on the display unit 41 of the communication device 4-1 and utilizing that content in their own training, user U1 can effectively perform training that is optimal for them and continuously consume meals that suit their individual goals. This allows user U1 to effortlessly achieve their training goals.

Furthermore, once user U1 has completed the proposed training menu, he or she can manage the training by recording the details of the training in the management database 20 via communication device 4-1. In this way, managing each user's information in the management database 20 rather than on paper enables detailed data analysis.

According to the training support system 1 of embodiment 1 described above, user information including training information and dietary information for each user U1 to U5 is stored in the management database 20, and the user information stored in the management database 20 can be used even if each user U1 to U5 changes facilities A, B, C that they use. This allows appropriate training support to be provided to each user U1 to U5 even if they change facilities A, B, C that they use.

Furthermore, the control device 10 can provide suggested information such as optimal training and meal menus for each user U1-U5 by analyzing the body type information, training information, dietary information, etc. of each user U1-U5 based on the recommendation logic. This allows appropriate training support to be provided to each user U1-U5.

[Embodiment 2]
Next, a training support system 1 according to a second embodiment will be described with reference to FIG. 7. FIG. 7 is a flowchart showing the flow of saving user information of a user by the training support system 1 according to the second embodiment. For ease of explanation, components having the same functions as those described in the first embodiment are denoted by the same reference numerals, and their description will not be repeated. In the second embodiment, only the parts that are different from the first embodiment will be described.

In the training support system 1 of embodiment 2, as shown by the arrow in Figure 1, a case will be described in which user U2 moves from facility A to facility B. As shown in Figure 7, user U2 first enters into a service contract with facility A via communication device 4-2 (S21). Note that user U2 may also go directly to facility A and enter into the service contract within facility A.

Next, the control device 10 of the management server 2 stores the user information of user U2 in the management database 20 (S22). The user information includes the user's physique information, training information, dietary information, etc. This user information is associated with the user's user ID.

After that, user U2 cancels his/her membership with facility A via communication device 4-2 and enters into a service contract with facility B (S23). Note that the personal information of user U2 stored in the first storage device 30A of facility database 30 is deleted when user U2 enters into a service contract with facility B.

After S23, when user U2 uses facility B after the transfer, he or she can use the user information stored in the management database 20 via communication device 4-2 (S24). This user information includes the user information stored in the management database 20 when user U2 used facility A before the transfer.

Then, user U2 logs in as a contract holder for facility B using communication device 4-2 (S25) and can continue to use the same user ID (S26).

According to the training support system 1 of embodiment 2 described above, even if user U2 moves from facility A to facility B, as shown in FIG. 1, the control device 10 of the management server 2 can acquire the user information of user U2 stored in the management database 20. This makes it possible to provide appropriate training information to user U2, taking into account the user information stored in the management database 20 when user U2 used facility A.

Furthermore, even if user U2 moves from facility A to facility B, he or she can obtain user information related to facility A, which he or she previously used, via communication device 4-2. Therefore, when training at facility B, he or she can continue to use the user information stored in management database 20 when user U2 used facility A before the transfer.

[Embodiment 3]
Next, a training support system 1 according to a third embodiment of the present disclosure will be described with reference to Figs. 5 and 8. For ease of explanation, components having the same functions as those described in the first embodiment are denoted by the same reference numerals, and their description will not be repeated. In the third embodiment, only the parts that are different from the first embodiment will be described.

In the management server 2 of embodiment 3, it is assumed that a setting is made to limit the number of users at facilities A, B, and C in order to prevent a large number of users from training in the same facilities A, B, and C in a crowded state. The following explanation assumes that user U1 is using facility A.

In the flowchart shown in FIG. 5, user U1 first requests the management server 2 to provide proposed information via communication device 4-1 (S11). Specifically, user U1 launches the app on communication device 4-1, inputs desired conditions such as a desired training schedule and training information into the input screen of display unit 41, and then requests proposed information. Communication device 4-1 transmits the entered desired conditions and a message that a request for proposed information has been made to the management server 2.

Here, the proposed information requested by user U1 includes, in addition to the training menu and meal menu, information indicating whether user U1 will be able to use facility A under normal conditions that avoid overcrowding within facility A on the date reserved by user U1.

After S11, the control device 10 of the management server 2 obtains user information for user U1 and recommendation logic corresponding to user U1 from the management database 20 (S12), and confirms user U1's desired conditions.

Then, in the management server 2, the proposed information output unit 13 of the control device 10 creates proposed information based on the recommendation logic (S13). In S13, the proposed information output unit 13 determines whether user U1 can use facility A under normal conditions by determining whether the number of users of facility A on the date reserved by user U1 is equal to or greater than the upper limit of the number of users of facility A. Note that the upper limit of the number of users is set in advance for each facility, taking into account the size of each facility, etc.

If the proposed information output unit 13 determines that user U1 can use facility A under normal conditions, it transmits a message to the communication device 4-1, such as "It is normally available." On the other hand, if the proposed information output unit 13 determines that user U1 cannot use facility A under normal conditions, it transmits a message to the communication device 4-1 via the communication unit 15, such as "It is currently crowded, so please select another date."

Furthermore, in S13, the proposal information output unit 13 may generate proposal information for user U1 so that user U1 can use facility A in a normal state, taking into account the layout of each machine in facility A shown in FIG. 8. In the example shown in FIG. 8, within facility A, a total of 16 machines, four each of machines M1 to M4, are arranged in room 101, which is partitioned by wall W.

In Figure 8, for example, if machine M1-1 has been reserved and user U1 wishes to use machine M2, the proposal information output unit 13 creates proposal information suggesting the use of machine M2-4, which is located away from machine M1-1. Similarly, if machine M4-2 has been reserved and user U1 wishes to use machine M3, the proposal information output unit 13 creates proposal information suggesting the use of machine M3-4, which is located away from machine M4-2.

The proposed information output unit 13 may determine whether user U1 can use facility A while avoiding crowded conditions based on detecting the number of people in each room in facility A and the locations of machines in use using sensors 6A, such as cameras and human body sensors, installed in facility A.

After S13, the management server 2 transmits the proposed information created in S13 to the communication device 4-1 (S14). The communication device 4-1 then receives the proposed information from the management server 2 (S15) and displays the received proposed information on the display unit 41 (S16). As described above, the proposed information includes information indicating whether user U1 can use the device in a normal state, an optimal training menu, and the like.

This allows user U1 to confirm whether facility A is available under normal conditions, avoiding overcrowding. If facility A is available under normal conditions, user U1 can train with the optimal training menu at facility A on the desired date. On the other hand, if the reserved date is crowded, user U1 can redo S11 via communication device 4-1 and make a reservation for facility A on a different date.

The training support system 1 of embodiment 3 described above prevents users from being crowded together and allows them to train with an optimal training menu.

Other Embodiments
In the above-described first to third embodiments, each of the users U1 to U5 carries a communication device 4-1 to 4-5, but this is not limiting. For example, a trainer stationed at each of the facilities A, B, and C may carry a communication device 4. In this case, the trainer can use the communication device 4 on behalf of each of the users U1 to U5 to perform tasks such as updating training menus and making reservations using a dedicated app.

When updating a training menu, the trainer records, for example, the type and number of training sessions performed by the user under the trainer's guidance. When reserving a training menu, the trainer can listen to the user's requests and adjust the next training date. Furthermore, by using the app, trainers can exchange comments with users about training and diet, thereby promoting communication with the user.

In the training support system 1 of the first embodiment described above, the management server 2 creates suggested information based on recommendation logic, but this is not limited to this. For example, the management server 2 may create suggested information by using a trained model. The trained model learns the relationship between usage information at a certain point in the past for an unspecified number of users and usage information in the future relative to that certain point in the past as learning data, and is thereby able to predict optimal training menus, meal menus, etc. for a specific user based on their current usage information.

[Software implementation example]
The functions of the control device 10 (hereinafter referred to as the "device") of the management server 2 are realized by a program for causing a computer to function as the device, and by a program for causing a computer to function as each control block of the device.

In this case, the device includes a computer having at least one control device (e.g., a processor) and at least one storage device (e.g., a memory) as hardware for executing the program. The functions described in each of the above embodiments are realized by executing the program using this control device and storage device. The program may be stored non-transitory on one or more computer-readable storage media. The device may or may not include these storage media. In the latter case, the program may be supplied to the device via any wired or wireless transmission medium.

Furthermore, some or all of the functions of each of the above control blocks can be realized by logic circuits. For example, integrated circuits incorporating logic circuits that function as each of the above control blocks are also included in the scope of this disclosure. Additionally, the functions of each of the above control blocks can also be realized by, for example, a quantum computer.

Furthermore, each process described in each of the above embodiments may be executed by AI (Artificial Intelligence). In this case, the AI may run on the control device, or on another device (such as an edge computer or cloud server).

This disclosure is not limited to the above-described embodiments, and various modifications are possible within the scope of the claims. Embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included within the technical scope of this disclosure.

REFERENCE SIGNS LIST 1 Training support system 2 Management server 4, 4-1 to 4-5 Communication devices 41 to 45 Display unit 10 Control device 20 Management database 30 Facility database A, B, C Training facilities U1 to U5 Users

Claims (5)

a management server having a facility database and a management database;
The facility database stores personal information, which is information about the individual user who has signed a usage contract with each training facility and can be used to identify the individual, transmitted from the user to the management server when the user enters into a usage contract with the training facility and uses the training facility, for each training facility with which the user has signed a usage contract;
The management database stores user information of an unspecified number of users, which is information transmitted from the user to the management server when the user uses a training facility, and which includes identification information for identifying and distinguishing the user from other users and is associated with the identification information, from which the personal information of the user has been removed;
Two different training facilities are referred to as a first training facility and a second training facility, and a first training facility user who has entered into a usage contract with the first training facility moves from the first training facility to the second training facility and uses the second training facility.
The management server
A training support system characterized in that, when the first training facility user uses the second training facility, based on the identification information of the first training facility user transmitted from the first training facility user to the management server, user information stored in the management database when the first training facility user used the first training facility, which is associated with the identification information, is obtained from the management database . a communication device owned by the user and capable of communicating with the management server via a network;
The communication device
The training support system described in claim 1, characterized in that when the user changes the training facility they use , a request is sent to the management server to obtain the user information related to the training facility that the user has previously used from the management database, and the user information is received . The management server
The training support system according to claim 2, characterized in that the user information about the plurality of users stored in the management database is analyzed using a predetermined algorithm based on parameters including the gender, body type, and training purpose of the user , thereby creating suggested information about training suitable for a specific user, and transmitting the suggested information to the communication device. the user information includes at least body type information of the user, training information of the user, and diet information of the user, which are associated with identification information that identifies the user;
The training support system according to claim 3 , wherein the suggested information includes a training menu suited to the specific user. a first storage step in which a management server stores personal information, which is information about an individual user who has entered into a usage contract with each training facility and can identify the individual, transmitted from the user to the management server when the user enters into a usage contract with the training facility and uses the training facility, in a facility database of the management server for each training facility with which the user has entered into a usage contract;
a second storage step in which the management server stores in a management database of the management server user information of an unspecified number of users, the user information being information transmitted from the user to the management server when the user uses a training facility, the user information including identification information for identifying and distinguishing the user from other users and associated with the identification information, from which the personal information of the user has been removed ;
a creation step in which the management server analyzes the user information stored in the management database in the second storage step, which is associated with the identification information of the specific user, using a predetermined algorithm based on parameters including the gender, body type, and training purpose of the specific user , to create suggested training information suitable for the specific user;
a transmission step in which the management server transmits the proposal information created in the creation step from the management server via a network to a communication device that is possessed by the specific user and that is capable of communicating with the management server via the network ;
A training support method comprising: