Collective ball game guidance simulation training equipment

Abstract

The invention relates to the field of exercise simulation training, in particular to a collective ball game guidance simulation training device, which is used for finely acquiring speed dynamics and speed change frequency, generating an accurate individual three-dimensional training report and providing objective performance evaluation for each athlete. And then the three-dimensional training report of the individual and the motion matching information are subjected to conjoint analysis, so that surface problems such as station defects and track matching time difference can be identified, and the essence of the problems can be deeply discriminated, thereby providing an accurate direction for tactical optimization, and improving the tactical optimization efficiency. Finally, the analysis result of the tactical optimization direction is visually presented in a three-dimensional superposition mode through terminal output assemblies such as AR glasses or a virtual projection sand table, and structured and immersive scene reproduction of a training analysis report is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of sports simulation training, in particular to a collective ball game guidance simulation training device. BACKGROUND

[0002] In the training of collective ball games, guidance mainly relies on the on-site observation and personal experience of the coach. The coach observes the running position, speed of the players and the cooperation between team members by naked eye, and makes oral guidance or tactical adjustment based on his own experience. The disadvantage of this mode is that the observation of the human eye cannot accurately quantify the instantaneous dynamics of each player, such as small acceleration changes, high-frequency turning ability, and accurate space-time relationship between team members in the full field of view.

[0003] At present, although there are schemes for motion analysis through motion capture or motion sensors, some technical solutions are disclosed in patent applications CN201510393885A and CN2020103819797, but they are mostly focused on single ball action capture, such as golf swing and table tennis trajectory, or use general motion sensors such as heart rate monitors, so there is a lack of a technical solution that can cover collective coordination parameters for analysis and immersive team simulation training scenarios. In the similar field, there are only basic team data collection devices (such as football heat map generators), but they lack real-time guidance function and cannot well solve the problem of relying on coach experience and difficulty in quantifying team cooperation in traditional collective training through digital simulation training scenarios. Therefore, a solution is proposed. SUMMARY

[0004] The present application is to obtain the fine speed dynamics and speed variation frequency through the individual dynamic acquisition module, generate an accurate individual three-dimensional training report, provide data-driven and objective performance evaluation basis for each player, and then jointly analyze the individual three-dimensional training report and the movement coordination information generated by the panoramic three-dimensional acquisition module. Not only can it identify surface problems such as position defects and trajectory coordination time difference, but also can deeply analyze the nature of the problem by introducing individual dynamic information as a weight factor, so as to provide accurate direction for tactical optimization. Finally, the analysis results of the tactical optimization direction are output through terminal output components such as AR glasses or virtual projection sand table, and are visually presented in a three-dimensional superimposed manner to realize the structured and immersive scene reproduction of the training analysis report, and a collective ball game guidance simulation training device is proposed.

[0005] The purpose of the application can be realized by the following technical solutions: a collective ball game guidance simulation training device, comprising a terminal sensing component, a terminal output component and a cloud analysis device, the terminal sensing component is worn on the body of the sports personnel, the motion state of the sports personnel is sensed, the cloud analysis device can analyze the motion state sensing result of the sports personnel, and the analysis result is returned to the terminal output component, and the terminal output component can display the analysis result through an output device

[0006] It also includes an individual dynamic acquisition module, a panoramic three-dimensional acquisition module, a single dynamic analysis module, a set analysis module and a superimposed output module.

[0007] The individual dynamic acquisition module acquires individual dynamic information through the terminal sensing component and sends it to the single dynamic analysis module through wireless transmission.

[0008] The single dynamic analysis module analyzes the motion according to the individual dynamic information, and generates a three-dimensional training report of individual action.

[0009] The panoramic three-dimensional acquisition module acquires collective information of the sports scene to obtain sports coordination information.

[0010] The set analysis module obtains the three-dimensional training report of individual action and sports coordination information, analyzes the coordination degree according to the sports coordination information, and corrects the coordination degree analysis result through the three-dimensional training report of individual action to obtain overall coordination evaluation.

[0011] The superimposed output module obtains the three-dimensional training report of individual action and overall coordination evaluation, and outputs a warning reminder based on the three-dimensional training report and overall coordination evaluation.

[0012] As a preferred embodiment of the application, the individual dynamic information obtained by the individual dynamic acquisition module includes speed dynamics and speed variation frequency.

[0013] The method for the individual dynamic acquisition module to obtain the speed variation frequency is to record the acceleration and speed fed back by the terminal sensing component, and obtain the real-time speed variation of the individual through a motion model, and record it as speed dynamics.

[0014] The method for the individual dynamic acquisition module to obtain the speed variation frequency is to filter the acceleration fed back by the terminal sensing component, select the effective acceleration, divide the effective acceleration into linear acceleration and opposite acceleration, and respectively count the linear acceleration variation frequency and opposite acceleration variation frequency as the speed variation frequency.

[0015] As a preferred embodiment of the present application, the method for filtering acceleration by the individual dynamic acquisition module is: obtaining a preset trigger threshold value through a database, and comparing the obtained acceleration with the trigger threshold value in real time; if the acceleration is greater than the set trigger threshold value, it is recorded as valid acceleration; if the acceleration is not greater than the set trigger threshold value, it is recorded as invalid acceleration.

[0016] The method for dividing valid acceleration by the individual dynamic acquisition module is: obtaining the direction of each acceleration, and comparing the direction of the acceleration with the direction of the previous group of adjacent accelerations by the individual dynamic acquisition module; if the direction angle is greater than a set threshold value, the acceleration is recorded as a different direction acceleration; if the direction angle is less than the set threshold value, the acceleration is recorded as a straight line acceleration.

[0017] As a preferred embodiment of the present application, the steps for the individual dynamic acquisition module to count the frequency of variation of straight line acceleration and the frequency of variation of different direction acceleration are:

[0018] The individual dynamic acquisition module counts the time elapsed between the first group of accelerations and the last group of accelerations as the total time, records the number of occurrences of different direction acceleration and the number of occurrences of straight line acceleration as t, and calculates the frequency of variation of different direction speed and the frequency of variation of straight line speed through a formula.

[0019] As a preferred embodiment of the present application, the three-dimensional training report generated by the individual dynamic analysis module includes: speed peak value, average speed, frequency of variation of different direction speed, and frequency of variation of straight line speed.

[0020] The speed peak value and the average speed are extracted based on speed dynamics.

[0021] As a preferred embodiment of the present application, the motion coordination information generated by the panoramic three-dimensional acquisition module includes real-time station position and personnel movement trajectory.

[0022] The method for the panoramic three-dimensional acquisition module to obtain real-time station position is: capturing coordinate data of each motion personnel in the field through a terminal perception component, combining a preset digital model of the field, mapping the real-time position of each motion personnel into three-dimensional space coordinates, and generating a dynamic station distribution map according to time sequence.

[0023] The method for the panoramic three-dimensional acquisition module to obtain personnel movement trajectory is: based on station data in a continuous time period, reconstructing the movement path of each motion personnel through a trajectory fitting algorithm, marking key movement nodes, and calculating the relative distance change trend between adjacent motion personnel.

[0024] As a preferred embodiment of the present application, the set analysis module carries out embedding analysis through a motion model according to the motion coordination information, records the position defects and the track coordination time difference between different persons existing at each time, and sums the position defects and the track coordination time difference through weight assignment to obtain the coordination degree difference value.

[0025] As a preferred embodiment of the present application, the set analysis module obtains the overall coordination evaluation in the following steps:

[0026] The individual hetero-directional speed variation frequency of each sports person is spatio-temporally matched with the key nodes of sudden stop and direction change in the moving track, and it is evaluated whether the individual high-frequency direction change action is consistent with the demand of team tactical execution;

[0027] For the time point at which the position defect exists, the speed dynamic data of the sports person corresponding to the position is called, if the individual is in a high-speed moving state at the time point, it is determined that the position defect may be caused by reasonable dynamic replacement, if the individual is in a low-speed or static state, the negative evaluation weight of the position defect is enhanced;

[0028] For the track coordination time difference, it is analyzed in association with the speed peak value and the reaction speed of the related sports person, and it is identified whether the cause of the coordination time difference is consciousness lag or individual absolute speed ability deficiency.

[0029] Compared with the prior art, the present application has the following beneficial effects:

[0030] 1. The present application can generate an accurate individual three-dimensional training report through the fine acquisition of speed dynamics and speed variation frequency by the individual dynamic acquisition module, and the summary of speed peak value, average speed, hetero-directional and straight-line speed variation frequency by the single dynamic analysis module, and can overcome the traditional fuzzy evaluation depending on the experience of a coach, and provide a data-driven and objective performance evaluation basis for each athlete.

[0031] 2. The present application jointly analyzes the individual three-dimensional training report and the motion coordination information generated by the panoramic three-dimensional acquisition module, can not only identify surface problems such as position defects and track coordination time difference, but also can deeply analyze the nature of the problem by introducing individual dynamic information as a weight factor, judge whether the position defect is caused by tactical dislocation or reasonable dynamic replacement, and identify whether the coordination time difference is caused by tactical consciousness lag or individual speed ability deficiency, so as to provide an accurate direction for tactical optimization.

[0032] 3、The individual key data, personnel movement trajectory, cooperation time difference warning, station defect area and other complex analysis results are output through AR glasses or virtual projection sand table and other terminal output components in the application, visualized in a three-dimensional superimposed manner, the structured and immersive scene reproduction of the training analysis report is realized, the athlete and the coach can understand the problems in the training in real time and intuitively, effectively guide the adjustment of the technical action and the tactical formation, and the efficiency and the quality of the training are greatly improved. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to facilitate the understanding of those skilled in the art, the application will be further described below in conjunction with the drawings.

[0034] Figure 1 The system block diagram of the application is shown in the figure.

[0035] Figure 2 The system flow chart of the application is shown in the figure. DETAILED DESCRIPTION

[0036] The technical solutions of the application will be described clearly and completely below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor belong to the protection scope of the application.

[0037] Embodiment one: please refer to Figure 1 - Figure 2 As shown in the figure, a collective ball game guidance simulation training device, comprising a terminal perception component, the terminal perception component is worn on the body of the sports personnel, and the accurate movement state of the sports personnel is obtained through the built-in inertial sensor, acceleration sensor and the like, including the speed, acceleration and the like during movement;

[0038] The terminal perception component further comprises a panoramic perception device installed at the edge of the field, the collective information of the sports personnel in the field is obtained through the panoramic perception device, including the real-time position of the personnel;

[0039] The terminal perception component returns the obtained movement state and collective information to the cloud analysis device, the cloud analysis device comprehensively analyzes through the preset program, and gives the movement state evaluation of the sports personnel and the cooperation evaluation of the collective movement information based on the analysis result, and feeds back to the terminal output component again through the network;

[0040] The terminal output component outputs the evaluation result through a display output device, such as sports earphones. All the athletes wear sports earphones, and the coach machine communicates with the sports earphones worn by the athletes, so that the coach can timely correct and guide, such as adjusting the shooting angle and optimizing the defense formation, to solve the problems of difficult real-time communication and difficult quantification of team cooperation in traditional group training. The coach machine and the sports earphones worn by the athletes can perform point-to-point communication or group communication, thereby improving the flexibility of communication.

[0041] Embodiment two: please refer to Figure 1 Figure 2 As shown in FIG. 2, a group ball game guidance simulation training device further comprises an individual dynamic acquisition module, a panoramic three-dimensional acquisition module, a single dynamic analysis module, a set analysis module, and a superimposed output module. The individual dynamic acquisition module and the panoramic three-dimensional acquisition module are connected with the terminal perception component, while the single dynamic analysis module, the set analysis module, and the superimposed output module are deployed in a cloud analysis device, and the superimposed output module is connected with the terminal output component.

[0042] The individual dynamic acquisition module obtains individual dynamic information through the terminal perception component. The individual dynamic information includes speed dynamics and speed variation frequency. Specifically, the method for obtaining speed dynamics by the individual dynamic acquisition module is as follows:

[0043] The individual dynamic acquisition module accumulatively records the acceleration and speed fed back by the terminal perception component, and obtains the real-time variation of the individual speed through a motion model, and records the speed dynamics.

[0044] The method for obtaining speed variation frequency by the individual dynamic acquisition module is as follows: the individual dynamic acquisition module records the acceleration fed back by the terminal perception component, obtains a preset trigger threshold value through a database, and compares the obtained acceleration with the trigger threshold value in real time. If the acceleration is greater than the set trigger threshold value, the acceleration is recorded as effective acceleration. If the acceleration is not greater than the set trigger threshold value, the acceleration is recorded as ineffective acceleration.

[0045] The individual dynamic acquisition module counts the effective acceleration and obtains the direction of each acceleration. The individual dynamic acquisition module compares the direction of the acceleration with the direction of the previous adjacent acceleration. If the included angle between the directions is greater than a set threshold value, the acceleration is recorded as a different direction acceleration. If the included angle between the directions is less than the set threshold value, the acceleration is recorded as a straight line acceleration.

[0046] The individual dynamic acquisition module counts the time elapsed between the first group of accelerations and the last group of accelerations, and records the total time T. The number of occurrences of the different direction acceleration and the number of occurrences of the straight line acceleration are recorded as Ay and At, respectively. The different direction speed variation frequency Fy is calculated through the formula ​The linear velocity variation frequency Ft is calculated by a formula, .

[0047] The individual dynamic analysis module obtains the individual dynamic information collected by the individual dynamic acquisition module, and analyzes based on the speed dynamics to obtain the speed peak value and the average speed. The individual dynamic analysis module further combines the opposite direction speed variation frequency and the linear speed variation frequency in the speed variation frequency to jointly form a three-dimensional training report of individual action.

[0048] The panoramic three-dimensional acquisition module obtains collective information through the terminal perception component, and generates movement coordination information. The movement coordination information includes real-time positions of personnel and movement trajectories of personnel. The panoramic three-dimensional acquisition module obtains the real-time positions in the following manner:

[0049] The terminal perception component captures coordinate data of each movement personnel in the field in real time through the multi-view camera unit and the positioning tag. The panoramic three-dimensional acquisition module obtains the coordinate data in combination with a preset digital model of the field, maps the real-time positions of each movement personnel into three-dimensional space coordinates, and generates a dynamic position distribution map according to a time sequence.

[0050] The panoramic three-dimensional acquisition module obtains the movement trajectories of personnel in the following manner: based on the position data in a continuous time period, the movement path of each movement personnel is reconstructed through a trajectory fitting algorithm, key movement nodes are marked, and the relative distance change trend between adjacent movement personnel is calculated.

[0051] The collective analysis module performs embedded analysis through a movement model according to the movement coordination information, performs position defect analysis through real-time positions of personnel at different time points, records position defects existing at each time point, performs embedded analysis of the movement model through the movement trajectories of personnel, obtains trajectory coordination time differences between different personnel, and sums the position defects and the trajectory coordination time differences through weight assignment to obtain a coordination degree difference value.

[0052] The collective analysis module simultaneously receives the three-dimensional training report output by the individual dynamic analysis module and the movement coordination information generated by the panoramic three-dimensional acquisition module, and performs joint analysis in the following manner:

[0053] The individual three-dimensional training report of each movement personnel, which includes the speed peak value, the average speed, the opposite direction speed variation frequency, and the linear speed variation frequency, is coupled with the real-time role and position of the personnel in the movement coordination information. Specifically, the opposite direction speed variation frequency of the individual is matched with the key nodes of sudden stop and direction change in the movement trajectory in space-time, so as to evaluate whether the high-frequency direction change action of the individual is consistent with the demand of team tactical execution. Meanwhile, the linear speed variation frequency of the individual is compared with the advancing or defending stage of the overall movement of the team formation, so as to analyze the contribution efficiency of the acceleration ability of the individual in the overall rhythm of the team.

[0054] Further, based on the difference in the degree of cooperation including the position defects and the track cooperation time difference, individual dynamic information is further introduced as a weight factor. For the time when there is a position defect, the speed dynamic data of the moving personnel corresponding to the position is called. If the individual is in a high-speed moving state at this time, it is determined that the position defect may be caused by reasonable dynamic compensation or tactical maneuver. If the individual is in a low-speed or stationary state, the negative evaluation weight of the position defect is enhanced.

[0055] For the track cooperation time difference, it is associated with the speed peak value and reaction speed of the related moving personnel for correlation analysis to identify whether the cooperation time difference is caused by tactical consciousness lag or insufficient individual absolute speed ability, and to complete the execution consistency evaluation.

[0056] The superimposed output module is connected with the terminal output component, which receives the joint analysis results output by the set analysis module and performs the following processing and output:

[0057] S1: In the panoramic three-dimensional scene presented by the terminal output component (such as AR glasses, stereoscopic projection equipment), the key data of the individual three-dimensional training report of each moving personnel is superimposed on the model of each moving personnel in real time. At the same time, the moving track of the personnel is visualized using light flow or track lines of different colors, and according to the analysis results of the track cooperation time difference, the cooperation path with significant delay is highlighted and marked with flashing warning.

[0058] S2: The position defect time identified by the set analysis module is backtracked and reproduced in the three-dimensional scene, and the defect area is circled with a virtual marker.

[0059] S3: A structured training analysis report is automatically generated, which integrates the individual three-dimensional training reports of all moving personnel, team motion cooperation information, and the team coordination efficiency index and tactical execution consistency evaluation conclusion obtained by the joint analysis steps.

[0060] The threshold or preset value, preset range, etc. are set for result comparison and analysis to determine whether it is good or bad. The size of the value is determined by combining large model analysis of sample data and artificial experience to set input storage, and can be adjusted appropriately through seasonal or rational influence conditions.

[0061] And the weight proportion coefficient, influence factor, etc. are set according to the influence of each parameter on the result to allocate specific numerical values to finally reflect the influence of the result. It is also set by combining large model analysis of sample data and artificial experience to set input storage, and can be adjusted appropriately through seasonal or rational influence conditions.

[0062] The preferred embodiments of the application disclosed above are only to facilitate the elucidation of the application. The preferred embodiments do not describe all the details of the application and limit the application to the specific embodiments. Obviously, many modifications and variations can be made in light of the teachings above. The description is chosen and described in order to provide the best illustration of the application and its practical application to those skilled in the art and to enable those skilled in the art to best utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. A collective ball game coaching simulation training apparatus, characterized by, The application relates to a terminal sensing component, a terminal output component and a cloud analysis device, wherein the terminal sensing component is worn on the body of a sportsman and senses the sports state of the sportsman, the cloud analysis device can analyze the sports state sensing result of the sportsman and return the analysis result to the terminal output component, and the terminal output component can display the analysis result through an output device. The application further comprises an individual dynamic acquisition module, a panoramic three-dimensional acquisition module, a single-body dynamic analysis module, a set analysis module and a superimposed output module. The individual dynamic acquisition module acquires individual dynamic information through the terminal sensing component and sends the information to the single-body dynamic analysis module through wireless transmission. The single-body dynamic analysis module analyzes the sports according to the individual dynamic information and generates a three-dimensional training report of individual action. The panoramic three-dimensional acquisition module acquires collective information of a sports scene and obtains sports coordination information. The set analysis module obtains the sports coordination information and the three-dimensional training report of individual action, analyzes the coordination degree according to the sports coordination information, corrects the coordination degree analysis result through the three-dimensional training report of individual action and obtains overall coordination evaluation. The superimposed output module obtains the three-dimensional training report of individual action and the overall coordination evaluation and outputs a pre-warning reminder based on the three-dimensional training report and the overall coordination evaluation.

2. The group ball game coaching simulation training device according to claim 1, characterized in that, The individual dynamic information acquired by the individual dynamic acquisition module comprises speed dynamics and speed variation frequency. The individual dynamic acquisition module acquires the speed variation frequency by cumulatively recording the acceleration and speed fed back by the terminal sensing component, obtaining the real-time speed variation of the individual through a sports model and recording the speed dynamics. The individual dynamic acquisition module acquires the speed variation frequency by filtering the acceleration fed back by the terminal sensing component, selecting effective acceleration, dividing the effective acceleration into linear acceleration and opposite acceleration and respectively counting the linear acceleration variation frequency and the opposite acceleration variation frequency as the speed variation frequency.

3. A group ball game coaching simulation training apparatus according to claim 2, characterized in that, The individual dynamic acquisition module filters the acceleration by obtaining a preset trigger threshold value through a database, comparing the acquired acceleration with the trigger threshold value in real time, recording the acceleration as effective acceleration when the acceleration is greater than the set trigger threshold value and recording the acceleration as invalid acceleration when the acceleration is not greater than the set trigger threshold value. The individual dynamic acquisition module divides the effective acceleration by obtaining the direction of each acceleration, comparing the acceleration with the direction of the previous group of adjacent acceleration, recording the acceleration as opposite acceleration when the direction angle is greater than a set threshold value and recording the acceleration as linear acceleration when the direction angle is less than the set threshold value.

4. The group ball game coaching simulation training apparatus according to claim 2, characterized in that, The individual dynamic acquisition module counts the linear acceleration variation frequency and the opposite acceleration variation frequency by counting the time passed between the first group of acceleration and the last group of acceleration as total time, recording the occurrence number of opposite acceleration and the occurrence number of linear acceleration as t and calculating the opposite speed variation frequency and the linear speed variation frequency through a formula. The individual dynamic acquisition module counts the time passed between the first group of acceleration and the last group of acceleration as total time, records the occurrence number of opposite acceleration and the occurrence number of linear acceleration as t and calculates the opposite speed variation frequency and the linear speed variation frequency through a formula.

5. The group ball game coaching simulation training apparatus according to claim 1, characterized in that, The three-dimensional training report generated by the single dynamic analysis module includes a speed peak value, an average speed, a frequency of variable speed in different directions, and a frequency of variable straight-line speed. The speed peak value and the average speed are extracted based on speed dynamics.

6. The group ball game coaching simulation training apparatus according to claim 1, characterized in that, The motion coordination information generated by the panoramic three-dimensional acquisition module includes real-time positions and moving tracks of personnel. The panoramic three-dimensional acquisition module acquires the real-time positions in the following manner: terminal perception components capture coordinate data of each moving personnel in the field, and then, in combination with a preset digital model of the field, map the real-time positions of each moving personnel into three-dimensional space coordinates, and generate a dynamic position distribution map according to a time sequence. The panoramic three-dimensional acquisition module acquires the moving tracks of personnel in the following manner: based on position data in consecutive time periods, the moving paths of each moving personnel are reconstructed by a track fitting algorithm, key moving nodes are marked, and a relative distance change trend between adjacent moving personnel is calculated.

7. The group ball game coaching simulation training apparatus according to claim 1, characterized in that, The set analysis module performs embedded analysis based on the motion coordination information through a motion model, records position defects and track coordination time differences between different personnel at each time, and sums the position defects and the track coordination time differences through weighted assignment to obtain a coordination degree difference value.

8. The group ball game coaching simulation training apparatus according to claim 1, characterized in that, The set analysis module obtains the overall coordination evaluation in the following manner: The frequency of variable speed in different directions of each moving personnel is matched with key nodes of sudden stop and change of direction in the moving track in time and space, and it is evaluated whether the high-frequency change of direction of the individual is consistent with the demand of team tactical execution; For a time point at which a position defect exists, speed dynamic data of a moving personnel corresponding to the position is called, and if the individual is in a high-speed moving state at the time point, it is determined that the position defect may be caused by reasonable dynamic replacement; if the individual is in a low-speed or stationary state, a negative evaluation weight of the position defect is enhanced; For the track coordination time difference, it is analyzed in association with a speed peak value and a reaction speed of the related moving personnel, and it is identified whether the cause of the coordination time difference is consciousness lag or insufficient absolute speed ability of the individual.

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