Sport support system

Abstract

Provided is a system suitable for supporting a professional player.　A sport support system 1 comprises a database that stores condition data 31 relating to the physical and / or mental condition of a player and training data 32 relating to training performed by the player. This system 1 uses data in a database 1 to create a first dashboard that displays the condition state of a team and a second dashboard that displays the condition state of each player. This system 1 provides the first and second dashboards to a user terminal 2 that is used by a staff member, and provides the second dashboard relating to each player to a user terminal 2 that is used by each player.

Description

Sports Support System

[0001] The present invention relates to a computer-based sports support system for supporting sports teams and athletes (hereinafter sometimes simply referred to as "athletes") in terms of their condition, training, and / or performance.

[0002] For example, Patent Documents 1 to 3 disclose techniques relating to support for athletes.

[0003] Patent Literature 1 describes an exercise support device that collects a user's fatigue and sleep state and determines an exercise plan and exercise menu based on the collected data. The device acquires event information related to the user, acquires information about the practice days leading up to the event, and an exercise menu, and generates an exercise plan using the event information, practice day information, and exercise menu. The device determines the user's fatigue level and fatigue recovery state from pulse wave information at the start and end of sleep, and modifies the exercise menu or exercise plan based on the results of this determination.

[0004] Patent Literature 2 discloses a health management device that determines a user's physical condition based on the user's sleep state. This device acquires sleep information obtained by analyzing the pulse waves of a subject while they are sleeping, acquires training information that indicates the subject's training status, and determines the subject's physical condition, such as whether they are overtraining or recovering from overtraining, based on the acquired sleep information and training information.

[0005] Patent Literature 3 discloses a practice guidance providing device that provides practice guidance to a user. The device records practice feedback information indicating feedback from the user regarding practice execution. The device records self-check information entered by the user as information indicating the user's recent poor condition level, and calculates the user's accumulated poor condition level based on the recorded self-check information. The device determines multiple practice guidance information candidates to provide to the user based on the user's current poor condition level and the user's accumulated poor condition level. The device determines practice guidance information to provide to the user from multiple practice guidance information candidates based on recorded past practice feedback information and transmits the determined practice guidance information to a user terminal. The device receives practice feedback information indicating feedback from the user regarding practice execution based on the practice guidance information from the user terminal.

[0006] JP 2018-33566 A JP 2005-111160 A JP 2022-81036 A

[0007] In the case of professional athletes, they are supported by staff such as managers, coaches, medical supporters, and dietary managers. In this case, not only the athletes themselves but also each member of the staff must be well aware of the athletes' conditions, and appropriate communication must be maintained between the staff members and the athletes.

[0008] In sports teams with multiple players, the staff must be able to accurately understand not only the status of each individual player but also the status of the entire team, and manage them appropriately. The more players on a team, the more difficult it becomes to manage the team as a whole.

[0009] Additionally, the following concerns are often heard from both individual players and the team as a whole: "I can't fully demonstrate what I've learned in practice in matches," "There are many injuries and illnesses, but we don't know the cause," "There is a low level of awareness of the players' condition," and "It's difficult to design the optimal training plan."

[0010] Patent Documents 1 to 3 do not disclose sufficient solutions to these problems.

[0011] One object of the present invention is to provide a system suitable for supporting professional athletes.

[0012] Another object of the present invention is to provide a system for assisting a sports team that includes staff supporting multiple players.

[0013] It is yet another object of the present invention to provide a system that assists in better management of athletes' condition, performance and / or training.

[0014] Further objects of the present invention will become apparent from the following disclosure.

[0015] A sports support system according to one embodiment is a sports support system capable of communicating with one or more athlete terminals used by one or more athletes who make up a team playing a sport and one or more staff terminals used by one or more staff members who support the athletes, and is equipped with a database that stores condition data including one or more condition items related to the athletes' physical and / or mental condition and training data including one or more training items related to the training the athletes perform, and a dashboard control unit that uses the data stored in the database to create a first dashboard that displays team condition information related to the team's condition status and team training information related to the team's training status, and a second dashboard that displays player condition information related to the condition status of each player and player training information related to the training status of each player, and provides the first and second dashboards to each staff terminal and the second dashboard corresponding to each user to each athlete terminal.

[0016] According to one embodiment of the sports support system, the dashboard control unit does not provide the second dashboard corresponding to a player who is not a user of the athlete terminal to the athlete terminal.

[0017] According to one embodiment of the sports support system, the dashboard control unit creates a third dashboard that visualizes the status of the one or more athletes at a glance, and provides the third dashboard to the staff terminal.

[0018] In one embodiment of the sports support system, the dashboard control unit does not provide the third dashboard to each of the athlete terminals.

[0019] In one embodiment of the sports support system, the first dashboard displays the time series changes in the team condition information and the time series changes in the team training information in a manner that allows for comparison, and the second dashboard corresponding to each player displays the time series changes in the player condition information and the time series changes in the player training information for each player in a manner that allows for comparison.

[0020] According to one embodiment of the sports support system, the training data includes, as the training items, items related to the exercise load of the training performed by the player, and the first dashboard displays, in a comparative manner, a time series progression of a first indicator related to the exercise load of the team based on the training data of the player, a time series progression of a second indicator related to the physical and / or mental condition of the team based on the condition data of the player, and a time series progression of a third indicator related to the risk of injury occurring according to the exercise load of the team, and the second dashboard corresponding to each of the players displays, in a comparative manner, a time series progression of a fourth indicator related to the exercise load of each of the players, a time series progression of a fifth indicator related to the physical and / or mental condition of each of the players, and a time series progression of a sixth indicator related to the risk of injury occurring according to the exercise load of each of the players.

[0021] According to one embodiment of the sports support system, the training data includes, as the training item, an RPE (Rating of Perceived Exertion) input by the player regarding the training performed, the first indicator has a team RPE value regarding the team's RPE based on the RPE input by the player, the third indicator has a team ACWR (Acute: Chronic Workload Ratio) value regarding the team's ACWR based on the RPE input by the player, the fourth indicator has a player RPE value regarding the RPE input by each player, and the sixth indicator has a player ACWR value regarding each player's ACWR based on the RPE input by each player.

[0022] According to one embodiment of the sports support system, the second index has a team condition value that quantifies the physical and mental condition of the team based on the condition data of the players, and the fifth index has a player condition value that quantifies the physical and mental condition of each player based on the condition data of each player.

[0023] According to one embodiment of the sports support system, when the team includes one or more female players, the condition data includes an item related to the menstruation of the female player as the condition item, and the first dashboard displays physiological information related to the menstruation of the female player based on the condition data of the female player.

[0024] According to one embodiment of the sports support system, an alert determination unit is provided that sets an alert condition for each of one or more specified condition items, and determines whether or not an alert is issued for each of the specified condition items in the condition data of each of the players by referring to the corresponding alert condition, and the first dashboard displays team alert information regarding whether or not the team has been alerted based on the alert determination result, and the second dashboard corresponding to each of the players displays player alert information regarding whether or not the each player has been alerted based on the alert determination result.

[0025] According to one embodiment of the sports support system, the database further stores injury data including one or more injury items related to injuries or illnesses suffered by the player, and the first dashboard further displays team injury information related to injuries or illnesses of the team based on the injury data of the player.

[0026] According to one embodiment of the sports support system, the first dashboard displays the time series changes of the team injury information and the time series changes of both or one of the team condition information and the team training information in a manner that allows for comparison.

[0027] According to one embodiment of the sports support system, the database further stores treatment data including one or more treatment items related to medical treatments received by the player, and the first dashboard further displays team treatment information related to medical treatments of the team based on the treatment data of the player.

[0028] In one embodiment of the sports support system, the database further stores physical data including one or more physical items related to the physical performance of the players, the first dashboard further displays team physical information related to the physical performance of the team based on the physical data of the players, and the second dashboard further displays player physical information related to the physical performance of each of the players based on the physical data of each of the players.

[0029] In one embodiment of the sports support system, the first dashboard displays the time series changes in the team physical information and the time series changes in both or one of the team condition information and the team training information in a comparable manner, and the second dashboard corresponding to each player displays the time series changes in the player physical information and the time series changes in both or one of the player condition information and the player training information for each player in a comparable manner.

[0030] In one embodiment of the sports support system, the database further stores stats data including one or more stats items related to the stats of the team and each of the players, the first dashboard further displays team stats information related to the stats of the team based on the stats data of the team, and the second dashboard further displays player stats information related to the stats of each of the players based on the stats data of each of the players.

[0031] In one embodiment of the sports support system, the first dashboard displays the time series changes in the team stats information and the time series changes in both or one of the team condition information and the team training information in a comparable manner, and the second dashboard corresponding to each player displays the time series changes in the player stats information and the time series changes in both or one of the player condition information and the player training information for each player in a comparable manner.

[0032] According to one embodiment of the sports support system, the database further stores physical data including one or more physical items related to the physical performance of the player and stats data including one or more stats items related to the stats of the team and each of the player, the first dashboard further displays team physical information related to the physical performance of the team based on the physical data of the player and team stats information related to the stats of the team based on the stats data of the team, and the second dashboard further displays player physical information related to the physical performance of each player based on the physical data of each player and player stats information related to the stats of each player based on the stats data of each player.

[0033] According to one embodiment of the sports support system, the first dashboard displays the time series changes in the team physical information and the time series changes in the team stats information in a comparable manner, and the second dashboard corresponding to each player displays the time series changes in the player physical information and the time series changes in the player stats information for each player in a comparable manner.

[0034] The sports support system of one embodiment further includes a training planning unit that enables the staff member to plan a training menu, stores the planned training menu in the database as the training item, and provides the planned training menu to the staff terminal and the player terminal, and a training simulator that inputs the planned training menu and estimates the effects of implementing the planned training menu that may appear in the training data or condition data of the team or each player if the planned training menu is implemented by the team or each player.

[0035] In one embodiment of the sports support system, the implementation effect includes ACWR of the team or each of the players that may result from the implementation of the planned training menu.

[0036] According to one embodiment of the sports support system, the database further stores injury data related to injuries or illnesses suffered by the players, physical data related to the physical performance of the players, statistical data related to the respective statistical data of the team and the players, and / or physical growth data related to the physical growth of the players, and the system further includes a training planning unit that enables the staff members to plan training menus, stores the planned training menus in the database as the training items, and provides the planned training menus to the staff terminals and the player terminals, and a training simulator that inputs the planned training menus and estimates the effects of implementing the planned training menus that may appear in the training data, condition data, injury data, physical data, statistical data, and / or physical growth data of the team or each player if the planned training menus are implemented by the team or each player.

[0037] In one embodiment of the sports support system, the training simulator has a player model that has learned the relationship between the training menu actually implemented by the team or each player and the actual implementation effect, and uses the player model to estimate the implementation effect of the planned training menu.

[0038] In one embodiment, the sports support system further includes a training proposer that sets goals for the condition data or the training data of the team or each player, automatically creates a training menu in accordance with the goals, and proposes it to the staff terminal or the player terminal.

[0039] In one embodiment of the sports support system, the database further stores injury data related to injuries or illnesses suffered by the player, physical data related to the player's physical performance, stats data related to the stats of the team and each of the player, and / or physical growth data related to the player's physical growth, and further includes a training proposer that sets goals for the team or each of the players' condition data, training data, injury data, physical data, stats data, and / or physical growth data, automatically creates a training menu according to the goals, and proposes it to the staff terminal or the player terminal.

[0040] According to one embodiment of the sports support system, the database further stores physical data regarding the physical performance of each of the players, sets ranking criteria for the physical data of each of the players, and further includes a physical evaluation unit that ranks the physical data of each of the players in light of the ranking criteria, and is configured to provide the ranking results of each of the players to the staff terminal or the player terminal.

[0041] According to one embodiment of the sports support system, the database further stores stats data regarding the stats of the team or each player, sets evaluation criteria for the stats data, and further includes a stats evaluation unit that evaluates the stats data in light of the evaluation criteria, and is configured to provide the evaluation results of the stats data to the staff terminal or the player terminal.

[0042] In one embodiment of the sports support system, the database further stores injury data relating to injuries or illnesses sustained by the athlete, and further includes an injury prevention section that presents the injury data to the staff terminal, enabling the staff to create a plan to prevent the occurrence of the injury or illness, and a rehabilitation planning section that presents the injury data to the staff terminal, enabling the staff to create a rehabilitation plan for recovery from the injury or illness.

[0043] According to one embodiment of the sports support system, the database stores treatment data regarding medical procedures performed by the staff members on the athletes, and further includes a treatment analysis unit that analyzes the treatment data to create analytical data indicating the number or amount of medical procedures performed for each staff member, and is configured to provide the analytical data to the staff terminal.

[0044] According to one embodiment of the sports support system, the database further stores physical growth data regarding the physical growth of each of the players, and further includes a physical growth prediction unit that predicts the future physical growth of each of the players based on the physical growth data of each of the players, and is configured to provide the predicted physical growth of each of the players to the staff terminal or the player terminal of each of the players.

[0045] 1 is a block diagram showing the hardware configuration of a sports support system according to one embodiment of the present invention. FIG. 2 is a block diagram showing the software configuration of a sports support system according to one embodiment of the present invention. FIG. 3 is a diagram showing examples of data items of various data input from the user terminal of a staff member or a player. FIG. 4 is a block diagram showing the functional configuration of a dashboard control unit. FIG. 5 is a diagram showing an example of a display of a team dashboard. FIG. 6 is a diagram showing an example of a display of a player list dashboard. FIG. 7 is a diagram showing an example of a display of a player dashboard. FIG. 8 is a diagram showing an example of a display of detailed information on the dashboard. FIG. 9 is a block diagram showing the functional configuration of a condition management unit. FIG. 10 is a block diagram showing the functional configuration of a training management unit. FIG. 11 is a block diagram showing the functional configuration of a physical management unit. FIG. 12 is a block diagram showing the functional configuration of a stats management unit. FIG. 13 is a block diagram showing the functional configuration of an injury management unit. FIG. 14 is a block diagram showing the functional configuration of a treatment management unit. FIG. 15 is a block diagram showing the functional configuration of a physical growth management unit. FIG. 16 is a block diagram showing an example of the functional configuration of a player model. FIG. 17 is a block diagram showing another example of the functional configuration of a player model. FIG. 18 is a block diagram showing an example of the functional configuration of a training proposer.

[0046] Hereinafter, embodiments will be described with reference to the drawings. These embodiments are exemplary for explaining the present invention, and some omissions and simplifications have been made as appropriate for clarity of explanation. Furthermore, the present invention is not limited to these embodiments, and all applications consistent with the concept of the present invention are included within the technical scope of the present invention.

[0047] Figure 1 is a block diagram showing the hardware configuration of a sports support system according to one embodiment of the present invention. Sports support system 1 (hereinafter sometimes abbreviated as system 1) includes storage 13 that stores a program 15 and a database (DB) 16, a central processing unit (CPU) 11 that executes the program 15 and processes the DB 16, memory 12 used by the CPU 11, and a communication interface 10 that communicates with the outside world via a communication network. For convenience, sports support system 1 is shown in Figure 1 as being composed of a single computer, but sports support system 1 may be realized by multiple computers or may be provided as a cloud server.

[0048] The sports support system 1 and one or more user terminals 2 used by one or more users are connected to each other so as to be able to communicate with each other via a communication network (e.g., the Internet or an intranet) 4. The users may include players as well as staff members such as managers, coaches, medical supporters, and diet managers.

[0049] The user terminal 2 is an information processing terminal used by each athlete and each staff member, such as a personal computer, a mobile phone, a tablet terminal, etc. Depending on whether each user is an athlete or a staff member, the GUI (Graphical User Interface) displayed on the screen of the user terminal 2 for communication between the user and the sports support system 1 is selected as either an athlete GUI or a staff GUI.

[0050] Each athlete can use the athlete GUI to input data regarding their own condition, training results, etc. into the sports support system 1, view data regarding their own condition output from the sports support system 1, and view data regarding their training plan, performance, etc.

[0051] Each staff member can use the staff GUI to input data regarding the management of the condition, training, performance, injuries, etc. of the entire team and individual players into the sports support system 1, and can also view data regarding the condition, training, performance, injuries, etc. of the entire team and individual players.

[0052] The measuring devices 3 are various devices that measure the movement and physical condition of athletes. There are many types of measuring devices 3, including, for example, GNSS devices that measure various movement conditions of athletes using a Global Navigation Satellite System (GNSS), wearable measurement devices that measure various physical conditions of athletes, body composition monitors that measure athletes' body composition, Velocity Based Training (VBT) devices that measure athletes' movement speeds, and IoT balls that measure various movement conditions of balls used by athletes in ball games such as baseball and soccer. Data measured by the measuring devices 3 is typically sent to the sports support system 1 via a user terminal 2 (for example, a user terminal for athletes as shown in the figure, but may also be a user terminal for staff), but may also be input to the sports support system 1 via another route (for example, directly from the measuring devices 3 via a network without going through the user terminal 2).

[0053] Fig. 2 is a block diagram showing the software configuration of a sports support system according to an embodiment of the present invention. Fig. 3 is a diagram showing examples of data items of various data input from the user terminals of staff or athletes.

[0054] As shown in FIG. 2, the sports support system 1 includes a DB 16, a dashboard control unit 20, various management units 21 to 27, and a user I / F .

[0055] The user I / F 28 has a function of receiving various data from the user terminal 2 via the network and passing it to the dashboard control unit 20 and the various management units 21 to 27. The user I / F 28 also has a function of transmitting the various data received from the dashboard control unit 20 and the various management units 21 to 27 to the user terminal 2 via the network.

[0056] The DB 16 has various data sections 30 to 37 necessary for implementing one embodiment of the present invention. The analysis data section 30 stores the analysis data that is the result of analyzing the various data managed by the various management sections 21 to 27 and is to be displayed on the dashboard.

[0057] The condition data section 31 stores condition data managed by the condition management section 21. Condition data is data indicating various physical and / or mental conditions of the athlete, and includes subjective data based on the athlete's subjective opinion and objective data observed objectively, as shown in FIG. 3 . Subjective data may include, for example, data on items such as physical pain, feeling of deep sleep, physical fatigue, mental fatigue, and muscle condition. Objective data may include, for example, data on items such as blood oxygen saturation, heart rate variability, sleep duration, diet, and menstruation.

[0058] The training data section 32 stores training data managed by the training management section 22. Training data is data related to the athlete's training, and includes subjective data and objective data as shown in FIG. 3. Subjective data may include, for example, data related to items such as RPE (Rating of Perceived Exertion). Objective data may include, for example, data related to items such as training menu, training time, GNSS data, and pulse rate during exercise.

[0059] The physical data section 33 stores the physical data managed by the physical management section 23. The physical data is data showing the results of testing and measuring the physical performance of the athlete, such as athletic ability and / or muscle strength, and includes objective data such as that shown in Fig. 3. Examples of objective data include data on various items obtained from health checkups, field tests, muscle strength measurements, body composition scales, VBT devices, etc.

[0060] The stats data unit 34 stores the stats data managed by the stats management unit 24. Stats data is stats, that is, data that indicates, for example, the performance, results, or accomplishments achieved in a match, and includes objective data such as that shown in FIG. 3. Taking soccer as an example, objective data can include data on items such as win rate, goals scored and conceded, number of shots taken, number of shots taken, and corner kicks. The stats data includes data on the stats of the entire team and data on the stats of each player.

[0061] The injury data section 35 stores injury data managed by the injury management section 25. Injury data is data related to a player's injuries and illnesses, and includes objective data such as that shown in Figure 3. Examples of objective data include data related to items such as the facts of the injury or illness, the cause of the injury, the location of the injury or illness, an injury prevention plan, and a rehabilitation plan.

[0062] The treatment data section 36 stores treatment data managed by the treatment management section 26. Treatment data is data related to medical treatment for an athlete's injury or illness, and includes objective data such as that shown in Fig. 3. Examples of objective data include data related to items such as treatment content, treatment site, and treatment time.

[0063] The physical growth data section 37 stores the physical growth data managed by the physical growth management section 27. The physical growth data is data relating to the physical growth of a young player who is in the growth stage, and includes objective data such as that shown in Fig. 3. Examples of the objective data include data relating to items such as gender, age, parental physique, and physical measurements.

[0064] In this specification, the various data items included in the condition data, training data, physical data, stats data, injury data, treatment data, and physical growth data, as illustrated in Figure 3, may be referred to as condition items, training items, physical items, stats items, injury items, treatment items, and physical growth items, respectively.

[0065] As shown in Figure 2, the sports support system 1 includes, as processing functions according to one embodiment of the present invention, a dashboard control unit 20, a condition management unit 21, a training management unit 22, a physical management unit 23, a stats management unit 24, an injury management unit 25, a treatment management unit 26, and a physical growth management unit 27.

[0066] The dashboard control unit 20 analyzes data such as condition, training, physical status, stats, injuries, treatments, and physical growth managed by the various management units 21 to 27, and visualizes the overall team and individual player status and the analysis results in easy-to-read graphs and tables in the form of a dashboard, which is displayed to staff and each player. This allows staff to easily grasp the overall team status and the status of each player, and also allows each player to easily grasp their own status.

[0067] The condition management unit 21 accumulates and manages condition data input by the user (for example, daily condition information input by the player, such as fatigue level, sleep time, and physical pain) in the condition data unit 31. Furthermore, the condition management unit 21 analyzes the condition data and creates analytical data that can be displayed on a dashboard (allowing staff to check the player's condition and allowing the player to check their own condition), and stores this data in the analytical data unit 30. Players can know their own condition, and staff members can know the condition of the entire team or players, and this information can be used to adjust the quantity and quality of training and to provide individual support to players.

[0068] The training management unit 22 accumulates and manages training data input by users (e.g., training menus input by staff members, training results input by athletes, RPE for the training, and / or objective GNSS data in Lenin) in the training data unit 32. Furthermore, the training management unit 22 analyzes the training data, creates analytical data that can be displayed on a dashboard (visualizing the athletes' exercise load and injury risk), and stores the analytical data in the analytical data unit 30. The training data and its analysis results can be used by staff members and / or athletes to manage training and condition and support athletes, for example, by adjusting the training load by calculating backward from exercise intensity, adjusting the training load to maintain good condition by considering the relationship between training and the athletes' condition, or adjusting the quality and quantity of training so that the likelihood of injury does not reach a dangerous level.

[0069] The physical management unit 23 accumulates and manages physical data input by the user (e.g., measurement data for test items arbitrarily determined by each team, such as physical examinations (blood, urine specific gravity, etc.), regular athletic ability tests and / or muscle strength tests, and further measurement data for test items specialized for each sport, such as soccer, baseball, or rugby) in the physical data unit 33. Furthermore, the physical management unit 23 analyzes the physical data to create analytical data that can be displayed on a dashboard, and stores the analytical data in the analytical data unit 30. The physical data and its analysis results can be used by staff members and / or players to manage training and condition and support players, for example, by predicting the relationship between the physical data and training data and adjusting the quality and quantity of training to improve the physical data, or by predicting the relationship between the physical data and condition data and managing the players' condition to obtain desired physical data.

[0070] The stats management unit 24 accumulates and manages stats data input by the user (for example, data input by staff regarding the performance and achievements of the team and each player in a game, etc.) in the stats data unit 34. Furthermore, the stats management unit 24 analyzes the stats data to create analytical data that can be displayed on a dashboard, and stores the analytical data in the analytical data unit 30. The stats data and the analysis results can be used by staff members and / or players to manage training and condition and support players, for example, by inferring the relationship between the stats data and training data and adjusting the quality and quantity of training to improve the stats data, or by inferring the relationship between the stats data and condition data and managing the players' condition to obtain desirable stats data.

[0071] The injury management unit 25 accumulates and manages injury data (such as type of injury, cause, location, and rehabilitation plan) input by the user in the injury data unit 35. Furthermore, the injury management unit 25 analyzes the injury data to create analytical data that can be displayed on a dashboard, and stores the analytical data in the analytical data unit 30. The injury data and its analysis results can be used by staff members and / or players to manage training, condition, and injury management, and to support players, for example, by predicting the relationship between injury and training data to adjust the quality and quantity of training so that the likelihood of injury or illness does not reach a dangerous level, by predicting the relationship between injury data and condition data to manage players' condition so that the likelihood of injury or illness does not reach a dangerous level, by referring to injury or illness history to develop injury prevention plans, and by creating rehabilitation plans depending on the type, location, and severity of injury or illness.

[0072] The treatment management unit 26 accumulates and manages treatment data (records of treatments for injuries) input by the user in the treatment data unit 36. Furthermore, the treatment management unit 26 analyzes the treatment data to create analytical data that can be displayed on a dashboard, and stores the analytical data in the analytical data unit 30. The treatment data and its analysis results can be used by staff and / or athletes to manage injury treatment and support athletes, for example, by sharing information about treatments for athletes' injuries among staff members to seamlessly continue appropriate treatment, or by dividing up treatment tasks among staff members.

[0073] The physical growth management unit 27 accumulates and manages the physical growth data input by the user in the physical growth data unit 37. Furthermore, the physical growth management unit 27 analyzes the physical growth data to create analytical data that can be displayed on a dashboard, and stores the analytical data in the analytical data unit 30. The physical growth data and the analysis results can be used by staff and / or players to manage training and support players, for example, by predicting future physical growth curves, estimating the relationship between physical growth and training, athletic ability, muscle strength, and / or stats data, and creating appropriate training plans.

[0074] Fig. 4 is a block diagram showing the functional configuration of the dashboard control unit. Fig. 5 is a diagram showing an example of a team dashboard display. Fig. 6 is a diagram showing an example of a player list dashboard display. Fig. 7 is a diagram showing an example of a player dashboard display.

[0075] As shown in FIG. 4, the dashboard control unit 20 includes a team dashboard control unit 40, a player list dashboard control unit 41, and a player dashboard control unit 42 as processing functions according to one embodiment of the present invention.

[0076] The team dashboard control unit 40 reads out the analytical data analyzed by the various management units 21 to 27 from the analytical data unit 30, and creates a team dashboard (see FIG. 5 ), which is a dashboard for understanding the overall team situation using the read analytical data, and provides it to the staff's user terminal 2. In this way, displaying the overall team situation to the staff can be useful for managing the entire team. In this embodiment, to protect the privacy of players, the team dashboard is not provided to the players' user terminals 2.

[0077] In this embodiment, a team dashboard such as that shown in FIG. 5 is provided to the staff member's user terminal 2, and various status items for the entire team are displayed on one page. This allows the staff member to easily grasp the status of the entire team. Furthermore, even during busy times such as before training, the staff member can grasp the overall team's trends at a glance. In addition, each status item block can be used to transition to a page showing details of that item, making it easy to access all information using the team dashboard as a starting point.

[0078] Here, the following eight items are examples of items that can be checked on the team dashboard shown in Figure 5. Item 1: Today's participation status This displays the number of players who fall into various statuses related to participation in today's training (participating, participating with restrictions, not participating, etc.). These numbers are entered, for example, by staff. Clicking on each status will take you to the player list dashboard, where you can check the status of each player who falls into that status.

[0079] Item 2: Team Workload This displays the total or average exercise load (e.g., sRPE: session RPE), condition index, and ACWR (and Acute and Chronic) of the team's players over time (e.g., daily). The displayed content is created by analyzing condition data, training data, etc. Here, RPE is the player's evaluation of the level of training load (strength) felt by the player on a 10-point scale. sRPE is the value obtained by multiplying the RPE of a training session by the duration (minutes) of that training session. ACWR (Acute: Chronic Workload Ratio) is the ratio of the amount of load a player has performed over the past seven days (Acute load) to the average weekly load performed over the past 28 days (Chronic load). Generally, managing exercise load so that ACWR values ​​fall within the "optimal range" of 0.8 to 1.3 reduces the risk of injury or disability, but exceeding 1.5 (the "dangerous range") increases the risk of injury or disability. A condition index is an index that represents a player's current condition (e.g., a rating scale of 100 ranging from excellent to extremely poor). The condition index can be calculated, for example, by quantifying and integrating condition items related to physical pain and physical and / or mental fatigue using a predetermined statistical calculation method. By comparing the trends in the team's overall sRPE (subjective exercise load), ACWR (an index indicating the likelihood of injury based on exercise load), and condition index (level of physical and / or mental condition) over the same time axis, staff can predict how the team's exercise load is evolving and how it is affecting the players' condition (e.g., pain and fatigue), which can be useful for managing future condition and training.

[0080] Item 3: Injury Status Players who have an injury or illness (including injuries and illnesses) that have not yet recovered are displayed along with the diagnosis of the injury and the expected return date. The display content is created by analyzing injury data. Staff can see who is injured and when they will be able to return, which can be useful for managing future condition and training.

[0081] Item 4: Menstrual Cycle For female players on the team, information related to their menstrual cycle is displayed, such as whether they are menstruating, and if so, how many days since the start of their period, and the average number of days their period lasts. The displayed information is created by analyzing the menstrual data in the condition data. By identifying which players are menstruating and understanding which stage of the menstrual cycle a female player is currently in, staff can use this information to adjust individual training for each female player.

[0082] Item 5: Player Alert Status Displays the number of alerts for the team's players for multiple pre-selected alert items. The number of alerts for each item indicates the number of players who have met the specified alert condition for that item (for example, the alert condition for ACWR is "1.5 or higher," which indicates a danger zone). These display contents are created by analyzing condition data and / or training data. Staff can get a rough idea of ​​the team's condition by understanding the number of alerts for each item. From this block, they can transition to a screen where they can check the detailed status of each item or player.

[0083] Item 6: Treatment status for the previous day This shows the number of treatments (treatments for injuries and illnesses) given to athletes on the previous day. The displayed content is created by analyzing treatment data. Staff can see how many treatments were given on the previous day.

[0084] Item 7: Player data entry status Displays the status of required data entry by players (for example, entry of daily condition data or training data) (for example, how many players have not entered data). By knowing how many players on the team have entered data and how many have not, staff can use this information to interpret the data and to remind players to enter data. Item 8: Overall schedule Displays the schedule for today's team activities.

[0085] 4, the player list dashboard control unit 41 reads out the analytical data analyzed by the various management units 21 to 27 from the analytical data unit 30, and uses the read out analytical data to create a player list dashboard (see FIG. 6), which is a dashboard that lists the statuses and situations of multiple players belonging to a team and makes them visible at a glance, and provides this to the staff's user terminal 2. In this embodiment, in order to protect the privacy of players, the player list dashboard is not provided to the players' user terminals 2.

[0086] In this embodiment, the condition and player status (practice participation status) of all players on a team (or players narrowed down by some criteria) are displayed in a list format using a player list dashboard such as that shown in Figure 6. In the player list dashboard shown in Figure 6, one player box 200 is assigned to each player, and there are multiple player boxes 200 corresponding to multiple players on the team. This allows staff to understand before training who can participate in training, whether any players are in poor condition, and what condition each player is in, and share this information with other staff members to use in managing today's training and condition.

[0087] Examples of items that can be checked on the player list dashboard shown in Figure 6 include, for each player, their status (practice participation status), condition index (an index showing the level of physical and / or mental condition), the numerical values ​​of multiple pre-selected condition items and whether or not there are any alerts, and a comment from the medical staff regarding the player's condition (for example, by displaying the medical staff's impressions of the previous day's treatment, this can be shared with other staff). The arrangement of player boxes may be sorted in order of the condition index numerical value, the number of alerts, player status, etc., and each player's box may be used to transition to a player dashboard showing each player's detailed status.

[0088] 4, the player dashboard control unit 42 reads out the analytical data analyzed by the various management units 21 to 27 from the analytical data unit 30, and uses the read-out analytical data to create a player dashboard (see FIG. 7), which is a dashboard for viewing the status and situation of each player, and provides it to the staff user terminal 2 and the player user terminal 2. In this embodiment, only the player dashboard of each player is displayed on the user terminal 2 of each player, and the three dashboards of the other players are not displayed.

[0089] In this embodiment, a player dashboard such as that shown in FIG. 7 displays detailed time series (e.g., daily) trends of each player's basic information, condition data, exercise load data, physical data, and stat data, as well as a detailed history of injuries, illnesses, and treatments. Regarding condition data, the daily trends of each of a number of specified condition items are visually displayed, for example, in graph form. Although not shown, if the condition data value for each item indicates a problem (satisfies an alert condition) (e.g., ACWR is in the danger zone of 1.5 or higher), an alert mark (e.g., a red or yellow mark) is displayed for that item. This allows staff to grasp the detailed status of all players from the past to the present, and each player can understand their own detailed status from the past to the present and whether or not there are any condition problems. Therefore, staff can utilize this information for detailed management of each player's condition, training, performance, and so on.

[0090] By utilizing dashboards like those described above (Figures 5 to 7), staff can understand the overall team situation and manage the team as a whole, and by understanding the status of each individual player, they can provide support to each individual player. In other words, by making good use of dashboards like those described above, staff can more easily manage teams with a large number of players. Furthermore, by displaying only the status of each player, each player can clearly understand their own situation and use it to improve the effectiveness of their training and match performance, while protecting the privacy of other players.

[0091] 5 to 7 show simplified examples of the display of each dashboard for the sake of explanation, but each dashboard can also display more detailed information. As an example, FIG. 8 shows a detailed example of a team dashboard displaying the daily changes in the training load (session RPE, ACWR) and condition (condition index) of the entire team.

[0092] In this example, the team's overall session RPE is displayed for each type of training (e.g., weight training, skill training, games, etc.), and the team's average ACWR and condition index are displayed overlaid on the same timeline. This detailed comparison of training intensity and condition is useful for staff to appropriately consider, for example, what type of training, at what intensity and volume, should be distributed to maximize the condition index (physical and mental condition) while minimizing injury by controlling ACWR within an appropriate range (1.3-0.8). This detailed information can be displayed for not only the team but also each player, and can also display progress over time, not just days but also months and years.

[0093] Furthermore, training data, condition data, physical data, stats data, injury data, etc. of a team or each player can be understood or displayed using charts, tables, etc., or two or more of the above different types of data can be correlated and displayed (for example, graphs of the time series (e.g., daily) trends of the different types of data can be displayed side by side or overlaid on the same time axis for comparison). For example, when the time series trends of one or more items of physical data, stats data, and / or injury data are displayed in a comparable manner on a common time axis, staff and / or players can infer, for example, how the type and intensity of training affects the athletic ability, game performance, and / or injuries of the team or each player, or how the condition of the team or each player affects their athletic ability, performance, and / or injuries. Furthermore, for example, if the time series transition of physical data and the time series transition of stats data are displayed in a comparative manner, it is possible to infer how the physical performance shown in the physical data affects the performance shown in the stats data, etc. This is useful for considering how to control the condition and plan training in order to improve the ability or performance of the team or each player.

[0094] 9 is a block diagram showing the functional configuration of the condition management unit. As shown in FIG. 9, the condition management unit 21 includes, as processing functions according to one embodiment of the present invention, a condition input unit 43, an alert determination unit 44, a condition analysis unit 45, and a condition support unit 46. Each player periodically, for example, daily, enters their own condition data for a predetermined number of condition items (illustrated in FIG. 3) into the system 1 from the user terminal 2. A staff member can also enter the player's condition data from the staff terminal 2 on behalf of the player.

[0095] The condition input unit 43 receives the input condition data of each player, organizes it by player and by condition item (example shown in FIG. 3), and stores it in the condition data unit 31.

[0096] The alert determination unit 44 determines whether the condition data for each condition item of each player in the condition data unit 31 meets the alert conditions or criteria (e.g., thresholds) set in advance for each condition item, and whether the condition is met (whether there is a problem). If there is a problem, the alert determination unit 44 records the alert data in association with the corresponding condition data in the condition data unit 31. The alert conditions (thresholds) can be set as different types of values, such as fixed values, ratios (e.g., ratios to the previous day's data value), standard deviations, or fluctuation ranges, depending on the nature of the condition item. For example, thresholds can be set as follows: As an example of determining whether a condition is greater than / less than a fixed value, a body temperature of 37.5°C or higher can be set as the alert condition. As an example of determining whether a condition is greater than / less than a certain percentage from the previous day's value, a weight loss of 2% or more can be set as the alert condition. As an example of determining whether a condition is greater than / less than the average value of the most recent three months' data by a threshold value, a fatigue level deviating downward by more than two standard deviations can be set as the alert condition.

[0097] The condition analysis unit 45 analyzes the condition data in the condition data unit 31, and converts the analysis results, such as time series (e.g., daily trends) and the presence or absence of alerts, into analytical data that can be displayed in a visual format such as a graph (e.g., in a format displayed on a dashboard such as those shown in FIGS. 5 to 7), and stores this analytical data in the analytical data unit 30. The analytical data is displayed on the user terminals 2 of the staff and players by the dashboard control unit 20 (FIG. 2).

[0098] The condition support section 46 enables each staff member and each player to communicate, via each user terminal 2, messages such as guidance and assistance from the staff member according to the player's condition and messages such as consultations and questions from the player.

[0099] 10 is a block diagram showing the functional configuration of the training management unit 22. As shown in FIG. 10, the training management unit 22 includes, as processing functions according to an embodiment of the present invention, a training planning unit 47, a training result unit 48, a training analysis unit 49, a training simulator 50, and a training proposer 51.

[0100] The training planning unit 47 enables a user, particularly a staff member (or individual player), to use the user terminal 2 to create a training menu for the entire team or each player, for example, for each day from tomorrow onwards. The training menu includes menu items such as the type of training exercise (various types of running, various types of weight training, various skill practice, etc.), the training load (running distance, weight, number of exercises, etc.), and training time (date, time, duration, etc.). The training planning unit 47 allows the user to plan a training menu by selecting each menu item from predetermined options or by typing it in. The training planning unit 47 stores the planned training menu in the training data unit 32 and displays the stored training menu on the user terminal 2 of each player or staff member.

[0101] The training result section 48 inputs the training menu (whether according to the planned menu or a different menu) that each player performed, for example, every day, and the RPE for that training from each player's terminal 2 as training results, and stores them in the training data section 32.

[0102] The training analysis unit 49 calculates the session RPE, ACWR, etc. for each athlete's training results stored in the training data unit 32, performs analysis such as determining whether the ACWR is in a dangerous range above the alert threshold of 1.5, and edits the analysis results into a format that can be visualized and displayed on a dashboard such as those shown in Figures 5 to 8, and stores the analysis data unit 30. The analysis results are displayed on the user terminal 2 by the dashboard control unit 20 (Figure 2).

[0103] The training simulator 50 inputs an arbitrary training menu (e.g., a training menu created by a staff member using the training planning unit 47) and predicts the results or effects that will be obtained by implementing that training menu. Here, the results or effects may be data indicating the direct results or effects of the training, such as the player's RPE (or session RPE) or ACWR, or data indicating the indirect results or effects of the training, such as the player's condition data, physical data, stats data, or injury data that occur after the training. The training simulator 50 has, for example, a player model, which is a mathematical model that simulates at least one player. The training simulator 50 may have multiple individual player models that simulate multiple players belonging to a team, a national player model that simulates an average or representative player, or several player category models that simulate representative or average players in several player categories (e.g., player groups distinguished by player attributes such as gender, age, physique, experience, ranking, and position). A more detailed description of the player models will be provided below.

[0104] In the configuration example shown in FIG. 10 , the training simulator 50 has multiple player models 50A, 50B, and 50C corresponding to multiple players (player A, player B, and player C) on a team. When a user creates a training menu for the next day or later, the user can input the training menu into the training simulator 50. The training simulator 50 then inputs the input training menu into each of the player models 50A, 50B, and 50C, and simulated training results are output from each of the player models 50A, 50B, and 50C. The training simulator 50 provides feedback to the user on the training results from each of the player models 50A, 50B, and 50C, or the training results for the entire team obtained by integrating these results. Based on this feedback, the user can determine the quality of the created training menu. Using the training simulator 50 in this way helps the user create an appropriate training menu.

[0105] The training proposer 51 automatically creates a training menu that meets the training conditions specified by the user and proposes it to the user. Here, the training conditions are, for example, conditions related to training results. Examples of training conditions that can be specified include an ACWR value or value range (e.g., specifying a value of 1.0 or a range of 0.9 to 1.1), not issuing an alert for one or more specific condition items, the data for one or more specific physical items reaching a specific target value by a specific time, the data for one or more specific stat items reaching a specific target value by a specific time, or a training intensity adjustment percentage for each phase of the menstrual cycle (follicular phase, ovulation phase, luteal phase, menstrual phase). The training proposer 51 may be configured to input an existing training menu, such as a training menu created by the user, and modify it to meet the training conditions. Alternatively, the training proposer 51 may be configured to automatically create a menu that meets the training conditions without inputting an existing training menu. A more detailed description of the training proposer 51 will be provided later.

[0106] 11 is a block diagram showing the functional configuration of the physical management unit. As shown in FIG. 11, the physical management unit 23 includes, as processing functions according to one embodiment of the present invention, a physical input unit 52, a physical evaluation unit 53, a physical analysis unit 54, and a physical support unit 55. When each player or staff member periodically or as needed measures predetermined physical items (e.g., body composition, muscle strength, athletic ability, etc.) (illustrated in FIG. 3), the measurement data (physical data) for those physical items is input to the system 1 from the user terminal 2.

[0107] The physical input unit 52 receives the input physical data of each player, organizes the data by player and by physical item, and stores the data in the physical data unit 33 .

[0108] The physical evaluation unit 53 ranks the physical data for each physical item of each player stored in the physical data unit 33 according to a predetermined ranking standard for each physical item (for example, a standard value for weight or body weight ratio in the case of muscle strength data) (e.g., dividing the data into three or five levels). The physical evaluation unit 53 also compares the data for each physical item of each player with a predetermined target value for each physical item to determine the degree to which the target value has been reached, evaluates the data by comparing it with the average or representative value for the team, or compares the data between players. The evaluation results for each item are associated with the data for each item and stored in the physical data unit 33.

[0109] The physical analysis unit 54 analyzes the data for each item in the physical data unit 33, and compiles the analysis results, such as time series (e.g., daily) trends, comparisons between players, the above-mentioned evaluation results, and the degree of balance in ranking levels between multiple physical items, into analytical data that can be displayed in a visual format such as a line graph, radar chart, or list, and stores the analytical data in the analytical data unit 30. The analytical data is displayed on the user terminals 2 of the staff and players by the dashboard control unit 20 (FIG. 2).

[0110] The physical support unit 55 enables each staff member and each player to communicate, via each user terminal 2, messages such as guidance and assistance from the staff member according to the physical data of the player, and messages such as consultations and questions from the player.

[0111] 12 is a block diagram showing the functional configuration of the stats management unit. As shown in FIG. 12, the stats management unit 24 includes, as processing functions according to one embodiment of the present invention, a stats input unit 56, a stats evaluation unit 57, a stats analysis unit 58, and a stats support unit 59. After each game, staff members acquire data on predetermined stats items (illustrated in FIG. 3 ) for each player and input the data into the system 1 from the user terminal 2.

[0112] The stats input unit 56 receives the input stats data for each player, organizes it by player and by stats item, and stores it in the stats data unit 34 .

[0113] The stats evaluation unit 57 evaluates the stats data for each stats item of each player in the stats data unit 34 in light of evaluation criteria preset for each stats item. The stats evaluation unit 57 also compares the data for each stats item of each player with target values ​​preset for each stats item and determines the degree to which the target values ​​have been reached. The evaluation results for each item are associated with the data for each item and stored in the stats data unit 34.

[0114] The stats analysis unit 58 analyzes the data for each item in the stats data unit 34, and compiles the analysis results, such as time series (e.g., daily) trends, comparisons between players, the above-mentioned evaluation results, and the degree of balance of evaluation results among multiple stats items, into analytical data that can be displayed in a visual format such as a line graph, radar chart, or list, and stores the analytical data in the analytical data unit 30. The analytical data is displayed on the user terminals 2 of the staff and players by the dashboard control unit 20 (FIG. 2).

[0115] The stats support unit 59 enables each staff member and each player to communicate, via their respective user terminals, messages such as guidance and assistance from the staff member according to the player's stats data, and messages such as consultations and questions from the player.

[0116] 13 is a block diagram showing the functional configuration of the injury management unit. As shown in FIG. 13, the injury management unit 25 includes, as processing functions according to one embodiment of the present invention, an injury input unit 60, an injury prevention unit 61, a rehabilitation planning unit 62, an injury analysis unit 63, and an injury support unit 64. When a player or staff member suffers an injury or illness, they input data (injury data) for specified injury items (examples of which are shown in FIG. 3) into the system 1 from the user terminal 2.

[0117] The injury input unit 60 receives the input injury data of each player, organizes it by player and injury item, and stores it in the injury data unit 35 .

[0118] The injury prevention unit 61 presents the injury data accumulated in the injury data unit 35 to the staff terminal 2, allowing the staff to create a plan (injury prevention plan) to prevent the occurrence of one or more injuries or illnesses. The injury prevention unit 61 stores the created injury prevention plan in the injury data unit 35 in association with data on related injuries or illnesses and players, and also displays it on the user terminal 2 of the staff and players.

[0119] The rehabilitation planning unit 62 presents the current injury / illness data of each player accumulated in the injury data unit 35 to the staff member's terminal 2, enabling the staff member to create a rehabilitation activity plan (rehabilitation plan) for recovery from the injury / illness. The rehabilitation planning unit 62 associates the created rehabilitation plan with the related player and injury / illness data, stores it in the injury data unit 35, and also displays it on the staff member's and the user terminal 2 of the relevant player.

[0120] The injury analysis unit 63 analyzes the injury data in the injury data unit 35, generates analysis results such as the injury history, the number of injuries and illnesses within a specified period, the type of injury and the number of injuries and illnesses by body part, and the number of injuries and illnesses by player, and compiles these analysis results into analysis data that can be displayed in a visual format such as a graph, and stores this analysis data in the analysis data unit 30. The analysis data is displayed on the user terminals 2 of the staff and players by the dashboard control unit 20 (FIG. 2).

[0121] The injury support unit 64 enables each staff member and each player to communicate, via their respective user terminals 2, messages such as guidance and assistance from the staff member regarding the player's injury or illness, and messages such as consultations and questions from the player.

[0122] Fig. 14 is a block diagram showing the functional configuration of the treatment management unit. As shown in Fig. 14, the treatment management unit 26 includes, as processing functions according to one embodiment of the present invention, a treatment input unit 65, a treatment analysis unit 66, and a treatment support unit 67. When medical staff performs medical treatment on an injured or ill player, data (treatment data) of predetermined treatment items (examples of which are shown in Fig. 3) are input to the system 1 from the user terminal 2.

[0123] The treatment input unit 65 receives the input treatment data, organizes it by player, staff member, injury, and treatment content, and stores it in the treatment data unit 36 ​​.

[0124] The treatment analysis unit 66 analyzes the treatment data in the treatment data unit 36, generates analysis results such as the number of treatments within a specified period, the number of treatments by treatment site, the number of treatments by player, and the number or amount of treatments performed by each staff member (e.g., the number of treatments), compiles these analysis results into analysis data that can be displayed in a visual format such as a graph, and stores this analysis data in the analysis data unit 30. The analysis data is displayed on the user terminals 2 of the staff and players by the dashboard control unit 20 (FIG. 2).

[0125] The treatment support unit 67 enables each medical staff member and each player to communicate, via their respective user terminals 2, messages such as guidance and assistance from the medical staff member regarding the player's medical treatment, and messages such as consultations and questions from the player.

[0126] 15 is a block diagram showing the functional configuration of the physical growth management unit. As shown in FIG. 15, the physical growth management unit 27 includes, as processing functions according to one embodiment of the present invention, a physical growth input unit 68, a physical growth prediction unit 69, a physical growth analysis unit 70, and a physical growth support unit 71. Each player inputs their own age, sex, and physique data of their parents into the system 1 in advance from the user terminal 2. Furthermore, when each player undergoes physical measurements, they input various types of physical measurement data, such as height, weight, and sitting height, into the system 1 from the user terminal 2.

[0127] The physical growth input unit 68 receives the input data (physical growth data), organizes it by player and measurement date, and stores it in the physical growth data unit 37 .

[0128] The physical growth prediction unit 69 predicts the future physical growth of each player (especially young players in their growth period, such as children or students) based on the physical growth data stored in the physical growth data unit 37. The physical growth prediction unit 69 predicts the peak height velocity age (PHVa) of the growth rate, future height, growth rate, etc., using a prediction method such as the Maturity Offset method based on, for example, the age of each player, changes in height, sitting height, and weight over time, and the physiques of the parents, and stores the prediction results in the physical growth data unit 37.

[0129] The physical growth analysis unit 70 analyzes the PHVa, predicted height, and growth rate in the physical growth data unit 37, generates analysis results such as a physical growth curve and a growth rate curve, compiles these analysis results into analysis data that can be displayed in a visual format such as a graph, and stores this analysis data in the analysis data unit 30. The analysis data is displayed by the dashboard control unit 20 (FIG. 2) on the user terminal 2 of the staff and the relevant player.

[0130] The physical growth support unit 71 enables each staff member and each player to communicate, via their respective user terminals 2, messages such as guidance and assistance from the staff member regarding the player's physical growth, and messages such as consultations and questions from the player.

[0131] 16 is a block diagram showing an example of the functional configuration of a player model included in the training simulator 50 shown in FIG. This player model 77 receives a training menu 72 and predicts what the ACWR of the target player will be if the target player performs the menu 77. The predicted ACWR is also evaluated (e.g., whether it is in the danger zone (alert) of 1.5 or more, the appropriate zone of 0.8 to 1.3, or whether it is too low (less than 0.8)). As mentioned above, the target player may be a specific individual player, an average or representative value of multiple players belonging to a team, or an average or representative value of one or more players belonging to a specific category.

[0132] The training menu 72 includes menu items such as one or more exercise types 73, and load amounts 74 and / or training time 75 for each exercise type 73. The exercise types 73 may include, for example, various types of running, various types of weight training, and various types of skill practice. The load amounts 74 may include, for example, the distance run, number of runs, and total distance run in the case of running, or the weight, number of sets, and number of repetitions per set in the case of weight training. The training time 75 may include, for example, a time period such as a start and end time, a duration such as hours, and the like.

[0133] Many variations can be adopted for the control process of the athlete model 77. An example of the control process shown in FIG. 16 is as follows. The athlete model 77 inputs a training menu and calculates the objective exercise intensity (X) of the input training menu (S1). For example, in the case of running, the objective exercise intensity may be a value obtained by multiplying a coefficient value corresponding to the type of running by the distance run and the number of runs. Alternatively, in the case of a certain type of weight training, the objective exercise intensity may be a value obtained by multiplying a coefficient value corresponding to the type of weight training by the weight of the weights, the number of sets, and the number of repetitions per set.

[0134] The player model 77 inputs the target player's actual ACWR history (e.g., ACWR time series (e.g., daily) trend data) and calculates a representative value (Y) of past ACWR from the history (S2). The representative value may be, for example, a moving average of ACWR for a recent fixed period (e.g., one week or two weeks) or an exponentially weighted moving average of ACWR. The player model 77 calculates a predicted ACWR by substituting the objective exercise intensity (X) of the training menu and the representative value (Y) of past ACWR into a predetermined function F(X, Y) (S3). The player model 77 evaluates the calculated predicted ACWR against predetermined evaluation criteria (e.g., a threshold of 1.5 for determining a danger zone (alert), and thresholds of 0.8 and 1.3 for determining a suitable zone) (S4).

[0135] Here, the function F(X, Y) that predicts ACWR, which is the core part of the player model 77, can take various forms, such as a relatively simple arithmetic formula generated by linear regression, a model created by a random forest method, a model created by a gradient boosting machine, or a trained neural network model created by machine learning using a neural network. Each of these models creates a player model that reflects the individuality of the target player by learning the target player's past training history and ACWR history using a respective method. Each time the target player performs training and inputs the training results and RPE into the support system 1, the player model 77 may learn the player's individuality in substantially real time, using not only the target player's past training history, but also the ACWR calculated from the input training results and RPE, and the player model 77 may be updated.

[0136] 17 is a block diagram showing another example of the functional configuration of a player model 77. This player model 77 inputs a training menu 80 and predicts the target player's future ACWR, condition data, physical data, injury data, and stats data, as well as (if the target player is a young player still developing) physical growth data, if the target player were to implement the menu (i.e., the effect of the training menu on these data). The player model 77 also evaluates the predicted ACWR, condition data, physical data, injury data, stats data, and physical growth data (e.g., determining the level by comparing them with the predetermined reference values ​​or thresholds, as described above). To make these predictions, the player model 77 also inputs the target player's condition data, physical data, injury data, and stats data histories 81-85 (if the target player is a young player still developing, it also inputs physical growth data history 110). As mentioned above, the target player may be a specific individual player, an average or representative of multiple players belonging to a team, or an average or representative of one or more players belonging to a specific category. The training menu 80 includes data on the items shown in the previous figure.

[0137] The player model 77 has, as processing functions related to one embodiment of the present invention, an ACWR prediction & evaluation unit 86, a condition prediction & evaluation unit 87, a physical prediction & evaluation unit 88, an injury prediction & evaluation unit 89, a physical growth prediction & evaluation unit 111, and a stats prediction & evaluation unit 90.

[0138] The ACWR prediction and evaluation unit 86 may be the one described with reference to the previous figure.

[0139] The condition prediction and evaluation unit 87 inputs the training menu 80, the predicted ACWR from the ACWR prediction and evaluation unit 86, and the target player's condition data history 81, and predicts how the target player's condition will change as a result of the target player performing the training menu. The condition data handled here does not need to be data for all condition items, and may only be data for pre-selected condition items. The prediction model used to predict the condition can be, for example, a neural network model that has been machine-learned to determine the relationship between the target player's training results and condition from the target player's training data history (e.g., a history of past training menus and the resulting training results, such as session RPE and ACWR) and condition data history.

[0140] The physical prediction and evaluation unit 88 inputs the training menu 80, the predicted ACWR, and the target athlete's physical data history 83, and predicts how the target athlete's physical data (i.e., athletic abilities such as muscle strength, running ability, and competitive skills) will change as a result of the target athlete performing the training menu. The physical data handled here does not need to be data for all physical items, and may only be data for pre-selected physical items. The prediction model used to predict the physical data can be, for example, a neural network model that uses machine learning to determine the relationship between the target athlete's training results and physical data (athletic ability) based on the target athlete's training data history (e.g., past training results) and physical data (athletic ability) history.

[0141] The injury prediction and evaluation unit 89 inputs the training menu 80, the predicted ACWR, and the target player's injury data history 84, and predicts how the target player's injury data will change after the target player performs the training menu (i.e., for example, the probability of the target player suffering from a certain type of injury or illness). The injury data handled here does not need to be data on all injury items, but may be data on pre-selected injury items only. The prediction model used to predict injury data can be, for example, a neural network model that uses machine learning to determine the relationship between the target player's training results and injury data (injuries or illnesses) from the target player's training data history (e.g., past training results) and injury data (injuries or illnesses suffered).

[0142] The physical growth prediction and evaluation unit 111 inputs the training menu 80, the predicted ACWR, and the target player's physical growth data history 110, and predicts how the target player's physical growth data will change if the target player implements the training menu. The physical growth data handled here does not need to be data on all physical growth items, and may only be data on pre-selected physical growth items (e.g., the target player's height and weight). The prediction model used to predict the physical growth data can be, for example, a neural network model that uses machine learning to determine the relationship between the target player's training results and physical growth data from the target player's training data history (e.g., past training results) and physical growth data history.

[0143] The stats prediction & evaluation unit 90 inputs the training menu 80, the predicted ACWR, predicted condition data from the condition prediction & evaluation unit 87, predicted physical data from the physical prediction & evaluation unit 88, predicted injury data from the injury prediction & evaluation unit 89, predicted physical growth data from the physical growth prediction & evaluation unit 111, and the target player's condition data, physical data, injury data, physical growth data, and stats data history, and predicts how the target player's stats data (performance in a game) will change as a result if the target player performs the training menu, that is, for example, what the probability is of what kind of performance the player will demonstrate in a game scheduled for a specific time in the future. The various data handled here do not need to be data for all items, and only data for pre-selected items will be sufficient. The predictive model used to predict stats data can be, for example, a neural network model that uses machine learning to determine the relationship between the target player's training results, condition, athletic ability, injuries, and physical growth and the stats data, based on the target player's training data history (e.g., past training results), condition data, physical data, injury data, and stats data history.

[0144] Note that the various prediction models described above, which are the core parts of the player model, may use models that learn the above relationships using, for example, linear regression, random forests, gradient boosting machines, etc., instead of or in combination with neural network models. The player model may also have a simpler configuration, including only some of the various prediction and evaluation units shown in the figure and excluding others. Each prediction model within the player model may also have a simpler configuration, inputting only some of the various input data described above and excluding others. The player model may also be more complex than the configuration shown in the figure, or may be configured to input other types of data not shown in the figure and use them for prediction or evaluation.

[0145] Furthermore, each predictive model may be updated substantially in real time using machine learning based on not only the target player's past data history, but also the target player's training results, condition data, physical data, injury data, and / or stats data each time the input data is entered into system 1.

[0146] 18 is a block diagram showing an example of the functional configuration of a training proposer. The training proposer 51 designs and proposes a training plan (training menu) for achieving goals set by a user. The goals may include goals 97-101 for the target player's ACWR, condition data, physical data, injury data, and / or stats data at a specific time in the future. Examples of goals may include a target value for tomorrow's ACWR, a target status for one or more specific condition items on a specific game date, a target value for a specific physical item on a specific athletic ability test date, a target status for a specific injury item for a specific future period, or a target value for one or more specific stats items on a specific game date.

[0147] As shown in FIG. 18, the training proposer 51 has a simulation execution unit 102, a plan evaluation unit 103, a plan recording unit 104, a plan modification unit 105, and a plan proposal unit 106 as processing functions according to one embodiment of the present invention.

[0148] The simulation execution unit 102 inputs a specific training plan 96 (for example, a training menu for one day tomorrow, or a set of daily training menus for the coming week or several weeks) into the player model 77 of the training simulator described above, and receives predicted results of ACWR, condition data, physical data, injury data, and / or stats data for that training plan 80.

[0149] The plan evaluation unit 103 compares the received prediction result with the goal set by the user and evaluates the prediction result. The plan recording unit 104 records the plan 80, the prediction result, and the evaluation result.

[0150] The plan modification unit 105 modifies the contents of the plan 96 (for example, the type and quantity of training in the training menu), provides the modified plan 109 to the simulation execution unit 102, and causes the simulation execution unit 102 to repeat simulation and evaluation of the modified plan 109. While repeating the plan modification, the plan modification unit 105 refers to the evaluation results of various different plans recorded in the plan recording unit 104 and controls whether to further repeat or terminate the plan modification.

[0151] After the plan change is complete, the plan suggestion unit 106 selects one or more plans with relatively good evaluations from the various training plans that have been simulated and evaluated up to that point as a proposed training plan and presents it to the user. The plan suggestion unit 106 also presents the user with the predicted results of the simulation for the proposed training plan and the evaluation results in light of the goal. Such training run suggestions help the user plan the optimal training in line with their intentions.

[0152] The present invention is not limited to the above-described embodiments and includes various modifications. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and are not necessarily limited to those including all of the described configurations. Furthermore, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is possible to add, delete, or replace part of the configuration of each embodiment with other configurations.

[0153] DESCRIPTION OF SYMBOLS 1: Sports support system 2: User terminal 3: Measuring device 10: Communication I / F 11: CPU 12: Memory 13: Storage 15: Program 20: Dashboard control unit 21: Condition management unit 22: Training management unit 23: Physical management unit 24: Stats management unit 25: Injury management unit 26: Treatment management unit 27: Physical growth management unit 28: User I / F 30: Analysis data unit 31: Condition data unit 32: Training data unit 33: Physical data unit 34: Stats data unit 35: Injury data unit 36: Treatment data unit 37: Physical growth data unit 40: Team dashboard control unit 41: Player list dashboard control unit 42: Player dashboard control unit 43: Condition input unit 44: Alert determination unit 45: Condition analysis section 46: Condition support section 47: Training planning section 48: Training result section 49: Training analysis section 50: Training simulator 50A: Player model 50B: Player model 50C: Player model 51: Training proposer 52: Physical input section 53: Physical evaluation section 54: Physical analysis section 55: Physical support section 56: Stats input section 57: Stats evaluation section 58: Stats analysis section 59: Stats support section 60: Injury input section 61: Injury prevention section 62: Rehabilitation planning section 63: Injury analysis section 64: Injury support section 65: Treatment input section 66: Treatment analysis section 67: Treatment support section 68: Physical growth input section 69 : Physical growth prediction section 70: Physical growth analysis section 71: Physical growth support section

Claims

1. A sports support system capable of communicating with one or more athlete terminals used by one or more athletes who make up a team playing a sport, and one or more staff terminals used by one or more staff members supporting the athletes, comprising: a database that stores condition data including one or more condition items related to the athletes' physical and / or mental condition, and training data including one or more training items related to the training the athletes undergo; and a dashboard control unit that uses the data stored in the database to create a first dashboard that displays team condition information related to the team's condition status and team training information related to the team's training status, and a second dashboard that displays player condition information related to each player's condition status and player training information related to the training status of each player, and provides the first and second dashboards to each staff terminal, and provides the second dashboard corresponding to the user of each athlete terminal.

2. A sports support system according to claim 1, wherein the dashboard control unit does not provide the second dashboard corresponding to an athlete who is not a user of the athlete terminal to the athlete terminal.

3. A sports support system according to claim 1, wherein the dashboard control unit creates a third dashboard that visualizes the status of the one or more athletes so that the status can be viewed at a glance, and provides the third dashboard to the staff terminal.

4. A sports support system according to claim 3, wherein the dashboard control unit does not provide the third dashboard to each of the athlete terminals.

5. A sports support system as described in claim 1, wherein the first dashboard displays the time series changes in the team condition information and the time series changes in the team training information in a manner that allows for comparison, and the second dashboard corresponding to each of the players displays the time series changes in the player condition information and the time series changes in the player training information for each of the players in a manner that allows for comparison.

6. A sports support system as defined in claim 1, wherein the training data includes, as the training items, items related to the exercise load of the training performed by the player; the first dashboard displays, in a comparative manner, a time series progression of a first index related to the exercise load of the team based on the training data of the player, a time series progression of a second index related to the physical and / or mental condition of the team based on the condition data of the player, and a time series progression of a third index related to the risk of injury occurring according to the exercise load of the team; and the second dashboard corresponding to each of the players displays, in a comparative manner, a time series progression of a fourth index related to the exercise load of each of the player, a time series progression of a fifth index related to the physical and / or mental condition of each of the player, and a time series progression of a sixth index related to the risk of injury occurring according to the exercise load of each of the player.

7. A sports support system according to claim 6, wherein the training data includes, as the training item, an RPE (Rating of Perceived Exertion) input by the athlete regarding the training performed; the first indicator has a team RPE value regarding the team's RPE based on the RPE input by the athlete; the third indicator has a team ACWR (Acute: Chronic Workload Ratio) value regarding the team's ACWR based on the RPE input by the athlete; the fourth indicator has a player RPE value regarding the RPE input by each athlete; and the sixth indicator has a player ACWR value regarding each athlete's ACWR based on the RPE input by each athlete.

8. A sports support system as described in claim 6, wherein the second index has a team condition value that quantifies the physical and mental condition of the team based on the condition data of the players, and the fifth index has a player condition value that quantifies the physical and mental condition of each player based on the condition data of each player.

9. A sports support system as described in claim 1, wherein, when the team includes one or more female players, the condition data includes an item related to the menstruation of the female player as a condition item, and the first dashboard displays physiological information related to the menstruation of the female player based on the condition data of the female player.

10. A sports support system as described in claim 1, comprising an alert determination unit that sets an alert condition for each of one or more predetermined condition items, and determines whether or not an alert has been issued for each of the predetermined condition items in the condition data of each of the players by referring to the corresponding alert condition, wherein the first dashboard displays team alert information regarding whether or not the team has been alerted based on the alert determination result, and the second dashboard corresponding to each of the players displays player alert information regarding whether or not the player has been alerted based on the alert determination result.

11. A sports support system according to claim 1, wherein the database further stores injury data including one or more injury items related to injuries or illnesses suffered by the athlete, and the first dashboard further displays team injury information related to injuries or illnesses of the team based on the injury data of the athlete.

12. A sports support system according to claim 11, wherein the first dashboard displays the time series transition of the team injury information and the time series transition of either or both of the team condition information and the team training information in a manner that allows comparison.

13. A sports support system according to any one of claims 1 or 11, wherein the database further stores treatment data including one or more treatment items related to medical treatments received by the athlete, and the first dashboard further displays team treatment information related to medical treatments of the team based on the treatment data of the athlete.

14. A sports support system as described in claim 1, wherein the database further stores physical data including one or more physical items related to the physical performance of the players, the first dashboard further displays team physical information related to the physical performance of the team based on the physical data of the players, and the second dashboard further displays player physical information related to the physical performance of each of the players based on the physical data of each of the players.

15. A sports support system as described in claim 14, wherein the first dashboard displays the time series changes in the team physical information and the time series changes in both or one of the team condition information and the team training information in a manner that allows for comparison, and the second dashboard corresponding to each player displays the time series changes in the player physical information and the time series changes in both or one of the player condition information and the player training information for each player in a manner that allows for comparison.

16. A sports support system as described in claim 1, wherein the database further stores stats data including one or more stats items related to the stats of each of the team and the players, the first dashboard further displays team stats information related to the stats of the team based on the stats data of the team, and the second dashboard further displays player stats information related to the stats of each of the players based on the stats data of each of the players.

17. A sports support system as described in claim 16, wherein the first dashboard displays the time series changes in the team stats information and the time series changes in both or one of the team condition information and the team training information in a manner that allows comparison, and the second dashboard corresponding to each player displays the time series changes in the player stats information and the time series changes in both or one of the player condition information and the player training information for each player in a manner that allows comparison.

18. A sports support system as described in claim 1, wherein the database further stores physical data including one or more physical items related to the player's physical performance and stats data including one or more stats items related to the stats of the team and each of the players; the first dashboard further displays team physical information related to the team's physical performance based on the player's physical data and team stats information related to the team's stats based on the team's stats data; and the second dashboard further displays player physical information related to the physical performance of each player based on the physical data of each player and player stats information related to the stats of each player based on the player's stats data.

19. A sports support system as described in claim 18, wherein the first dashboard displays the time series changes in the team physical information and the time series changes in the team stats information in a manner that allows them to be compared, and the second dashboard corresponding to each player displays the time series changes in the player physical information and the time series changes in the player stats information for each player in a manner that allows them to be compared.

20. A sports support system according to claim 1, further comprising: a training planning unit that enables the staff member to plan a training menu, stores the planned training menu in the database as the training item, and provides the planned training menu to the staff terminal and the player terminal; and a training simulator that inputs the planned training menu and estimates the effects of implementing the planned training menu that may appear in the training data or condition data of the team or each player if the planned training menu is implemented by the team or each player.

21. A sports support system according to claim 20, wherein the implementation effect includes ACWR of the team or each of the players that may result from the implementation of the planned training menu.

22. A sports support system as defined in claim 1, wherein the database further stores injury data relating to injuries or illnesses sustained by the players, physical data relating to the physical performance of the players, statistical data relating to the respective stats of the team and the players, and / or physical growth data relating to the physical growth of the players; a training planning unit that enables the staff members to plan training menus, stores the planned training menus in the database as the training items, and provides the planned training menus to the staff terminals and the player terminals; and a training simulator that inputs the planned training menus and estimates the effects of implementing the planned training menus that may appear in the training data, condition data, injury data, physical data, statistical data, and / or physical growth data of the team or each of the players if the planned training menus are implemented by the team or each of the players.

23. A sports support system as claimed in any one of claims 20 or 22, wherein the training simulator has an athlete model that has learned the relationship between the training menu actually carried out by the team or each athlete and the actual effect of that implementation, and the athlete model is used to estimate the effect of implementing the planned training menu.

24. The sports support system according to claim 1, further comprising a training proposer that sets goals for the condition data or training data of the team or each of the players, automatically creates a training menu in accordance with the goals, and proposes it to the staff terminal or the player terminal.

25. A sports support system as claimed in claim 1, wherein the database further stores injury data relating to injuries or illnesses suffered by the athlete, physical data relating to the athlete's physical performance, stats data relating to the respective stats of the team and the athlete, and / or physical growth data relating to the athlete's physical growth; and a training proposer that sets goals for the team or each athlete in relation to the condition data, training data, injury data, physical data, stats data, and / or physical growth data, automatically creates a training menu in accordance with the goals, and proposes it to the staff terminal or the athlete terminal.

26. A sports support system as claimed in claim 1, wherein the database further stores physical data relating to the physical performance of each of the athletes; the system further comprises a physical evaluation unit that sets ranking criteria for the physical data of each of the athletes and ranks the physical data of each of the athletes in light of the ranking criteria; and the sports support system is configured to provide the ranking results of each of the athletes to the staff terminal or the athletes' terminal.

27. A sports support system as claimed in claim 1, wherein the database further stores stats data relating to the stats of the team or each of the players, and further comprises a stats evaluation unit that sets evaluation criteria for the stats data and evaluates the stats data in light of the evaluation criteria, and is configured to provide the evaluation results of the stats data to the staff terminal or the player terminal.

28. A sports support system as claimed in claim 1, wherein the database further stores injury data relating to injuries or illnesses sustained by the athlete; an injury prevention section presenting the injury data to the staff terminal, enabling the staff to create a plan to prevent the occurrence of the injury or illness; and a rehabilitation planning section presenting the injury data to the staff terminal, enabling the staff to create a rehabilitation plan for recovery from the injury or illness.

29. A sports support system as claimed in claim 1, wherein the database stores treatment data relating to medical treatments administered to the athletes by the staff members, and further comprises a treatment analysis unit that analyzes the treatment data to create analytical data indicating the number or amount of medical treatments administered to each staff member, and is configured to provide the analytical data to the staff terminal.

30. A sports support system as claimed in claim 1, wherein the database further stores physical growth data relating to the physical growth of each of the players, and further comprises a physical growth prediction unit that predicts the future physical growth of each of the players based on the physical growth data of each of the players, and is configured to provide the predicted physical growth of each of the players to the staff terminal or the player terminal of each of the players.

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