CN116271766A

CN116271766A - Tennis training simulation method and device, electronic equipment and storage medium

Info

Publication number: CN116271766A
Application number: CN202211089911.7A
Authority: CN
Inventors: 彭峻
Original assignee: Individual
Current assignee: Individual
Priority date: 2022-09-07
Filing date: 2022-09-07
Publication date: 2023-06-23

Abstract

The invention discloses a tennis training simulation method and device, electronic equipment and storage media, and belongs to the technical field of automatic control. Wherein the method comprises the following steps: collecting ball hitting parameters in a real court through a racket, and collecting ball hitting images in the real court; calculating a first track parameter of a first motion track of a target tennis ball in a real court according to the batting parameter and the batting image; calculating a second track parameter of the target tennis ball on the virtual court based on the first track parameter, wherein the court of the target tennis ball comprises a real court and the virtual court; and rendering a second motion track of the target tennis ball when the target tennis ball moves in the virtual court by adopting the second track parameters, wherein the motion track of the target tennis ball comprises the first motion track and the second motion track. According to the invention, the mode of combining the real court with the virtual court is adopted, so that the field limitation is solved, and the technical problem that the sports field cannot be expanded through the virtual court in the related art is solved.

Description

Tennis training simulation method and device, electronic equipment and storage medium

Technical Field

The invention relates to the technical field of automatic control, in particular to a tennis training simulation method and device, electronic equipment and storage medium.

Background

In the related art, tennis is a beautiful and intense sports, and is widely used worldwide and is called world second largest ball game.

However, playing tennis not only requires a certain skill, but also requires a very specialized field, and for beginners, but is limited by field and equipment factors, and requires a large cost to realize network training, but for schools and the like, since students are numerous, planning a plurality of tennis courts is not practical, and tennis cannot be widely popularized by the whole population.

In view of the above problems in the related art, an effective solution has not been found.

Disclosure of Invention

The invention provides a tennis training simulation method and device, electronic equipment and storage medium.

According to an aspect of the embodiments of the present application, there is provided a simulation method for tennis training, including: the tennis training device comprises a tennis training device, a tennis training device and a ball driving device, wherein the tennis training device is used for acquiring ball hitting parameters in a real court through a racket and acquiring ball hitting images in the real court, and the tennis training device comprises: a ball blocking assembly; the ball collecting assembly is arranged adjacent to the ball blocking assembly and is provided with a ball collecting opening; the ball feeding assembly is positioned on one side of the ball receiving assembly, which is far away from the ball blocking assembly, and is used for conveying the collected tennis balls to the ball feeding assembly, and the ball feeding assembly is provided with a ball outlet; calculating a first track parameter of a first motion track of a target tennis ball in the real court according to the batting parameter and the batting image; calculating a second track parameter of the target tennis ball on a virtual court based on the first track parameter, wherein the court of the target tennis ball comprises the real court and the virtual court; and rendering a second motion track of the target tennis ball when the target tennis ball moves in the virtual court by adopting the second track parameters, wherein the motion track of the target tennis ball comprises the first motion track and the second motion track.

According to another aspect of the embodiments of the present application, there is also provided a simulation device for tennis training, including: the acquisition module is used for acquiring ball hitting parameters in a real court through a racket and acquiring ball hitting images in the real court, wherein a tennis training device is deployed in the real court, and the tennis training device comprises: a ball blocking assembly; the ball collecting assembly is arranged adjacent to the ball blocking assembly and is provided with a ball collecting opening; the ball feeding assembly is positioned on one side of the ball receiving assembly, which is far away from the ball blocking assembly, and is used for conveying the collected tennis balls to the ball feeding assembly, and the ball feeding assembly is provided with a ball outlet; the first calculation module is used for calculating first track parameters of a first motion track of the target tennis ball in the real court according to the batting parameters and the batting images; a second calculation module, configured to calculate a second track parameter of the target tennis ball on a virtual court based on the first track parameter, where the court of the target tennis ball includes the real court and the virtual court; and the rendering module is used for rendering a second motion track of the target tennis ball when the target tennis ball moves in the virtual court by adopting the second track parameters, wherein the motion track of the target tennis ball comprises the first motion track and the second motion track.

According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program that performs the steps described above when running.

According to another aspect of the embodiments of the present application, there is also provided an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus; wherein: a memory for storing a computer program; and a processor for executing the steps of the method by running a program stored on the memory.

Embodiments of the present application also provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the steps of the above method.

According to the invention, the ball hitting parameters in the real court are collected through the racket, the ball hitting image in the real court is collected, the first track parameters of the first motion track of the target tennis ball in the real court are calculated according to the ball hitting parameters and the ball hitting image, the second track parameters of the target tennis ball in the virtual court are calculated based on the first track parameters, the court of the target tennis ball comprises the real court and the virtual court, the second motion track of the target tennis ball when the target tennis ball moves in the virtual court is rendered by adopting the second track parameters, the first track parameters of the target tennis ball when the target tennis ball moves in the real court and the second track parameters of the target tennis ball when the target tennis ball moves in the virtual court are calculated, and the motion track of the target tennis ball on the virtual ball is rendered by adopting a mode of combining the real court and the virtual court, so that the technical problem that the sports field cannot be expanded by the virtual court in the related technology is solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:

FIG. 1 is a block diagram of the hardware architecture of a server according to an embodiment of the present invention;

FIG. 2 is a flow chart of a simulation method of tennis training according to an embodiment of the present invention;

FIG. 3 is a block diagram of a system in an embodiment of the invention;

FIG. 4 is a flow chart of the operation of an embodiment of the invention;

fig. 5 is a block diagram of a simulation apparatus for tennis training according to an embodiment of the present invention.

Detailed Description

In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other.

It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

The method embodiment provided in the first embodiment of the present application may be executed in a mobile phone, a controller, a server, a computer, or a similar operation scheduling device. Taking the operation on a server as an example, fig. 1 is a block diagram of a hardware structure of a server according to an embodiment of the present invention. As shown in fig. 1, the server may include one or more (only one is shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA) and a memory 104 for storing data, and optionally, a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative, and is not intended to limit the structure of the server described above. For example, the server may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.

The memory 104 may be used to store a server program, for example, a software program of application software and a module, such as a server program corresponding to a video dynamic and static rate identifying method in an embodiment of the present invention, and the processor 102 executes the server program stored in the memory 104, thereby performing various functional applications and data processing, that is, implementing the method described above. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located with respect to the processor 102, which may be connected to a server via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission device 106 is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of a server. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is configured to communicate with the internet wirelessly.

In this embodiment, a simulation method for tennis training is provided, fig. 2 is a flowchart of a simulation method for tennis training according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:

step S202, acquiring ball hitting parameters in a real court through a racket and acquiring ball hitting images in the real court, wherein a tennis training device is deployed in the real court, and comprises: a ball blocking assembly; the ball collecting assembly is arranged adjacent to the ball blocking assembly and is provided with a ball collecting opening; the ball feeding assembly is positioned at one side of the ball receiving assembly, which is far away from the ball blocking assembly, and the ball receiving assembly conveys the collected tennis balls to the ball feeding assembly which is provided with a ball outlet;

the scheme of the embodiment can be applied to training of ball games such as tennis and the like in the hitting type, and a real training effect can be simulated by using a small field.

Step S204, calculating a first track parameter of a first motion track of a target tennis ball in a real court according to the batting parameter and the batting image;

in one example, the first trajectory parameter includes a trajectory end parameter of the first motion trajectory.

Step S206, calculating second track parameters of the target tennis ball on the virtual court based on the first track parameters, wherein the court of the target tennis ball comprises a real court and the virtual court;

The virtual court of this embodiment is three-dimensional virtual court, shows on the reality court boundary through curtain, display screen etc to realize with the virtual combination between the reality court, become a complete court.

In step S208, a second motion track of the target tennis ball when the target tennis ball moves in the virtual court is rendered by using the second track parameter, wherein the motion track of the target tennis ball comprises the first motion track and the second motion track.

The first motion track and the second motion track form a complete track of target tennis, a user observes the first motion track flying on the real court through naked eyes and observes the second motion track flying on the virtual court on the display end in real time, so that the user experiences a complete batting process and experience.

Through the steps, the ball hitting parameters in the real court are collected through the racket, the ball hitting image in the real court is collected, the first track parameters of the first motion track of the target tennis ball in the real court are calculated according to the ball hitting parameters and the ball hitting image, the second track parameters of the target tennis ball in the virtual court are calculated based on the first track parameters, the court of the target tennis ball comprises the real court and the virtual court, the second motion track of the target tennis ball when the target tennis ball moves in the virtual court is rendered by adopting the second track parameters, the first track parameters of the target tennis ball when moving in the real court and the second track parameters of the target tennis ball when moving in the virtual court are calculated, the motion track of the target tennis ball on the virtual ball is rendered, and the technical problem that the sports field cannot be expanded by the virtual court in the related technology is solved by adopting a mode of combining the real court and the virtual court.

In one implementation of this example, capturing the parameters of a ball hit in a real world course with a racket includes: collecting the ball striking speed in a real court through a speed sensor on a racket; collecting a ball striking angle in a real court through a direction sensor on a racket; collecting the ball striking height in the real court through a height sensor on the racket; wherein the batting parameters include: ball striking speed, ball striking angle, ball striking height. The maximum value of the speed sensor, the direction sensor and the height sensor in the batting process (the contact between the ball and the racket surface) is taken as the output batting speed, the batting angle and the batting height.

The hitting height of the embodiment can be the height of the center of the racket surface of the racket, and optionally, the hitting position of the real court on the racket can be acquired through a position sensor on the racket. Besides the acquisition by the sensor, the image frames can be acquired by the image sensor, the target tennis ball in the image frames is positioned by the target detection algorithm, the position change of the target tennis ball in the batting process is calculated by the image frames acquired in continuous time, and the batting parameters including the batting speed, the batting angle and the batting height are calculated by combining the reference objects in the real court.

In this embodiment, acquiring a ball striking image in a real course includes: the physical action image and the ball motion image in the batting process are acquired through the camera shooting units, wherein the real court is provided with a plurality of camera shooting units which are arranged at different positions, and 360 panoramic image acquisition can be realized.

In one implementation of this example, calculating a first trajectory parameter for a first motion trajectory of a target tennis ball in a real course from a ball striking parameter and a ball striking image includes:

s11, calculating a first initial motion parameter of the target tennis ball by adopting the batting parameters, wherein the first initial motion parameter comprises: starting point movement speed, starting point movement direction and starting point height;

the batting image of this embodiment is used to correct and select batting parameters, for example, by batting image, the sensing data when the ball finally leaves the racket is selected as the first initial motion parameter, the body motion image and the ball motion image are adopted, the motion speed and the motion direction of the ball are calculated based on the image vision algorithm, the motion height is then weighted and summed with the batting parameters collected by the racket, or the maximum value is selected as the first initial motion parameter finally output.

S12, acquiring an environmental resistance coefficient in a real court;

the environmental resistance coefficient may be an empirical value, and is preconfigured in the control device.

S13, calculating a track end point parameter of a first motion track of the target tennis ball in the real court by adopting the first initial motion parameter and the environmental resistance coefficient, wherein the track end point parameter comprises: the end point movement speed, the end point movement direction and the end point height;

s14, correcting the track end point parameter of the first motion track by adopting the batting image.

The track end point parameters of the dynamic track (first motion track) can be obtained by collecting multi-frame batting images, such as key images of tennis balls at the end of flight in the flight process and sampling and calculating based on a visual algorithm.

In one example, calculating the trajectory end parameter of the first motion trajectory of the target tennis ball in the real course using the first initial motion parameter and the environmental resistance coefficient includes: acquiring the length of a first court of a real court and the ball weight of a target tennis ball; setting the length of a first court as the longest horizontal length of a first motion track of a target tennis ball in a real court, and calculating a track end point parameter of the target tennis ball after the first court is operated by adopting a first initial motion parameter, the weight of the ball and an environmental resistance coefficient.

Because the target tennis ball is subject to the horizontal or oblique upper parabolic falling body movement after leaving the racket, under the condition of knowing the parameters of the weight of the ball, the environmental resistance coefficient, the initial speed (speed and direction), the starting point height and the like, the movement distance of the target tennis ball in the horizontal direction can be calculated, and if the longest horizontal length of the horizontal movement is limited, the height of the ball when reaching the longest horizontal length, the end point movement speed, the end point movement direction and the like can be reversely calculated.

On the other hand of this embodiment, an inductor may be further disposed on a display end (such as a projector curtain or a display screen) disposed at a boundary position of the real court, where the boundary is between the real court and the virtual court, and the ball enters the virtual court (visually) through the boundary, where the inductor may sense a drop point motion parameter when the target tennis reaches the boundary, and the drop point motion parameter is used as a track endpoint parameter, and includes: end point movement speed, end point movement direction and end point height.

In one implementation of this embodiment, calculating the second trajectory parameter of the target tennis ball at the virtual court based on the first trajectory parameter includes: determining a track end point parameter of a first motion track of a target tennis ball in a real court in the first track parameter, wherein the track end point parameter comprises: the end point movement speed, the end point movement direction and the end point height; configuring the track endpoint parameter as a second initial motion parameter of the target tennis ball in the virtual court; and calculating the intermediate motion parameter and the termination motion parameter of the simulated motion of the target tennis in the real scene by adopting the second initial motion parameter, and determining the intermediate motion parameter and the termination motion parameter as the second track parameter of the target tennis in the virtual court.

Because the real court and the virtual court are adjacent and are in seamless connection, the boundary is a display end such as a curtain for displaying the virtual court, so that the motion parameters (track endpoint parameters) of the ball at the end point of the real court are initial motion parameters of the virtual court, and the ball continuously flies on the virtual court until the end point and the rest. In the embodiment, the ball is simulated to move in the real scene by adopting the second initial movement parameters, and the movement parameters during the movement process and the movement ending are taken as the second track parameters of the virtual court.

In one example, rendering a second trajectory of motion of the target tennis ball as it moves in the virtual court using the second trajectory parameters includes: fitting a third motion track of the target tennis ball on a world coordinate system by adopting the second track parameters; acquiring a thumbnail coordinate system of the virtual court, and converting a third motion trail from the world coordinate system to the thumbnail coordinate system to obtain a second motion trail; and dynamically displaying a second motion trail on a virtual picture where the virtual court is located.

The second track parameters in this embodiment include the motion rates, directions, (relative to the ground reference) vertical heights and horizontal heights of the multiple time points, and by fitting, the motion tracks can be generated, and since the virtual court is scaled down with the real court, conversion and mapping are required according to the coordinate system of the virtual court, so as to obtain the scaled-down second motion track (the second motion track has the same trend and different coordinate values as the third motion track).

Optionally, after the second track parameter is used to render the second motion track of the target tennis ball when the target tennis ball moves in the virtual court, the method further comprises: calculating a batting action parameter of a batting person according to the batting parameter and the batting image, wherein the batting action parameter is used for representing the action standard degree of the batting person when batting; and calculating the motion quality parameter of the target tennis ball on the virtual court according to the batting parameter and the batting image, wherein the motion quality parameter is used for representing the standard degree of the motion track of the target tennis ball after being batted by batting personnel.

The batting action parameters and the motion quality parameters of the embodiment can be presented to the user through evaluation scores or grades, and displayed on the client, when correcting the tennis gesture, the player recovers the whole body actions of the player by human gesture recognition including tracking data of key points such as hands, elbows, shoulders, waists and walking methods, and the like, so as to compare with the standard actions to obtain an evaluation score, enable the player to understand the mistakes of the batting gesture, pursue a higher expected value more conforming to the standard gesture, and further improve the batting level.

In one example, calculating the batting action parameters of the batting person from the batting parameters and the batting images includes:

S21, analyzing a plurality of motion limb nodes from the batting image;

s22, selecting a plurality of key limb nodes from the plurality of sports limb nodes, wherein the key limb nodes are limb nodes needing to exert force in the tennis training process, and the key limb nodes comprise: hands, elbows, shoulders, waists, feet;

s23, creating a dynamic 3D human body model by adopting the plurality of key limb nodes, and calculating batting action parameters of batting staff according to the motion amplitude of the dynamic 3D human body model;

optionally, calculating the batting action parameters of the batting personnel according to the motion amplitude of the dynamic 3D mannequin includes: the dynamic 3D human body model is fixed in the initial swing time, the middle swing time and the end swing time; adding a coordinate position combination of the key limb nodes after the dynamic 3D human body model is fixed in a preset coordinate system, wherein the coordinate position combination comprises coordinate positions of the corresponding key limb nodes in the initial swing time, the middle swing time and the end swing time; sequentially connecting all coordinate positions in the coordinate position combination according to the stop motion time aiming at each key limb node to generate a limb movement track; calculating the action matching degree of the limb movement track and a preset standard action track; and determining the action matching degree as a batting action parameter of a batting person.

S24, correcting the batting action parameters by adopting the batting parameters.

Besides visual recognition of images, the method can also be used for hardware recognition, a tracker is arranged at the front end of the racket, the tracker provides track data, and a computer can restore the track of the racket and is used for comparing the track with the standard racket track to obtain an evaluation score or grade.

In one example, calculating the quality of motion parameters of the target tennis ball at the virtual court from the shot parameters and the shot image includes: calculating a first track parameter of a first motion track of a target tennis ball in the real court according to the batting parameter and the batting image; calculating a second track parameter of the target tennis ball on the virtual court based on the first track parameter; fitting a second motion track of the target tennis ball when the target tennis ball moves in the virtual court by adopting the second track parameters; calculating the gesture matching degree of the second motion track and a preset standard motion track, wherein the motion gesture of the preset standard motion track comprises: direction, radian, speed, drop point, height; and determining the gesture matching degree as a motion quality parameter of the target tennis ball on the virtual court.

By calculating and identifying the track parameters such as the drop point, the ball speed, the rotation, the radian and the like of the tennis ball, calculating and simulating whether the tennis ball is in the net or not, and after the net is in the flying gesture of the court, the drop point (according to the drop point quality dividing area), the evaluation score corresponding to the drop point area is divided according to the batting force, the drop point difficulty and the like, and giving the player visual evaluation score.

In one implementation of this example, after calculating the striking motion parameters of the striking person from the striking parameters and the striking image, further includes: judging whether the batting action parameter is lower than a first standard threshold value or not; if the batting action parameter is lower than a first standard threshold, selecting a first limb node with the lowest action parameter from a plurality of parameter items of the batting action parameter, wherein the batting action parameter comprises a plurality of parameter items, and each parameter item corresponds to one action parameter; searching a first action deviation correcting resource related to the first limb node in a preset database; and pushing the first action deviation correcting resource to the user terminal.

In another implementation of this example, after calculating the motion quality parameter of the target tennis ball at the virtual court according to the batting parameter and the batting image, the method further includes: judging whether the motion quality parameter is lower than a second standard threshold value or not; if the batting action parameter is lower than a second standard threshold, selecting a motion gesture with the lowest quality parameter from a plurality of parameter items of the motion quality parameter, wherein the motion quality parameter comprises a plurality of parameter items, each parameter item corresponds to one quality parameter, and the motion gesture comprises: direction, radian, speed; searching a second limb node with the highest degree of association with the motion gesture in a preset mapping table; searching a second action deviation correcting resource related to the second limb node in a preset database; and pushing the second action deviation correcting resource to the user terminal.

The action deviation rectifying resource of the embodiment can be teaching videos, pictures and text descriptions of standard actions, teaching courses, purchasing links and the like.

In some examples, prior to collecting the ball striking parameters in the real world course by the racquet, and collecting the ball striking images in the real world course, further comprising: inputting training parameter information in a human-computer interaction interface, wherein the training parameter information comprises: player level, training course, training program; and generating a first standard threshold value of the batting action parameter and a second standard threshold value of the motion quality parameter by using the training parameter information.

According to the embodiment, by calculating the batting action parameters and the motion quality parameters, a trainer or other people can judge whether the action and the ball path of the trainer meet the standards when the trainer performs network training, and then targeted improvement and promotion are performed. The comprehensive parameter indexes are provided for batters, each batting is summarized, the progress of the player is intuitively seen, the interest and the confidence of batting are improved, and the man-machine interaction efficiency is improved.

FIG. 3 is a block diagram of a system in an embodiment of the invention, comprising: the system comprises a camera, an induction measuring element (a speed sensor and the like), a control box, a site server, a manual box, a projector, a cloud server and a mobile phone terminal. Fig. 4 is an operation flowchart of an embodiment of the invention, taking a target tennis ball as an example, and describing herein, a tennis ball basic simulation training method based on AI intelligent evaluation includes:

Recording body actions and motion tracks of multiple points of the athlete by adopting a camera unit;

the induction element is additionally arranged on the special tennis racket to accurately catch the batting, the force and the angle of the racket;

an Artificial Intelligence (AI) algorithm is used for carrying out simulation on limb nodes of ball serving and forward and backward hand swing actions of the athlete, recording action data and comparing, and finishing action deviation correction and correction of the athlete;

recording the flight track of tennis balls by adopting a tennis ball flight track sensing unit, wherein the monitored data comprise ball speed, batting point position, flight direction and the like;

simulating the flight track of the tennis ball by using a 3D algorithm, predicting the height and drop point of the hit tennis ball on a court, and judging the effectiveness of the hit tennis ball; and the imaging function is adopted to realize the playing scene of the virtual real tennis court, so that the player is helped to judge the effectiveness of the batting.

The system of the present embodiment functionally includes the following units:

the sensing unit comprises a data monitoring unit, an infrared sensing unit, an RGB camera and the like are adopted to monitor and collect data such as limb nodes, tennis tracks and the like of athletes;

the data transmission unit is used for converting the monitored and collected data into digital signals and transmitting the digital signals to the server;

The central data control unit of the server has a powerful operation function, performs AI operation and 3D simulation on data, provides database parameter comparison, and feeds back training effects and action correction to athletes;

the data storage and analysis unit of the server is used for accumulating, analyzing and optimizing the training effect of the athlete in a time period and sending a periodic analysis report;

the cloud platform management unit uploads the data of the athlete to the cloud platform through communication protocols such as the Internet, 5G and the like, and carries out background comprehensive management;

the information sharing unit is used for sharing information with athletes in a mobile phone APP mode and comprises the functions of account management, site reservation, sports statistics, coach reservation and the like;

the natural man-machine interaction unit adopts a face, fingerprint or voice recognition function, is convenient for switching various functions and parameters of the system, and improves the motion experience of athletes;

through monitoring the limb node motions of the sportsman and the flying tracks of the tennis, including tennis serving and front and back hand swing, the method realizes the rapid mastering and proficiency of a beginner on the basic motions of the tennis, adapts to the tennis as soon as possible and enjoys the pleasure of the tennis;

the monitoring data also comprises key parameters such as limb node data of athletes, hands, shoulders, waists, footwork and the like; the monitoring data also comprises a motion trail of the tennis racket, and is used for accurately simulating and evaluating the body action accuracy of the athlete; the tennis ball hitting simulation system is provided with a plurality of sets, can be connected with a server, and is used for storing, analyzing and sharing data; all terminal data can be connected with the Internet by adopting a communication protocol such as 5G and the like, so that the terminal data can be synchronously shared on a cloud platform, and the terminal data can interact with a user through a mobile phone APP; the tennis batting simulation system also adopts a face, fingerprint or voice recognition function, is convenient for switching various functions and parameters, and improves the experience of athletes.

The scheme of the embodiment records a simulation training method of basic actions of tennis, trains basic actions of battling and serving by the positive and negative hands of a tennis beginner, rapidly grasps basic skills of tennis, improves interests of tennis fans, and combines with actual combat as soon as possible. In a specific training area, a tennis beginner stands at a set position to swing and beat the tennis ball which is bounced from the ground vertically from a fixed position above, and the tennis ball is beaten on a curtain in front. The camera and the sensing device are arranged in the area, limb node movements of actions such as forward and backward hand swing and ball serving of the athlete can be captured through a plurality of sensing units, data are transmitted to the central computer processor, the hitting accuracy of body actions is truly restored by utilizing an advanced 3D algorithm system, corresponding AI evaluation scores are given through comparison with standard actions of the athlete with different ages and sexes in a database, the athlete is helped to correct the actions, and data statistics and advice of athlete action correction are provided; meanwhile, the sensing elements in the training area can also capture the flight track of the tennis ball, the flight track is input into the control center for analysis and calculation, the flight speed, radian and direction of the tennis ball are calculated, the specific drop point of the tennis ball to the actual tennis court after the tennis ball is knocked out is predicted, the accuracy and effectiveness of the batting are helped for a player to judge, and the batting force, radian and direction are timely adjusted. The basic tennis simulation training method based on the AI intelligent evaluation can help tennis beginners to quickly master basic actions of tennis through in-situ repeated batting training, correct bad habits of the tennis beginners and overcome the tension state of the beginners, thereby achieving the purpose of quickly entering the tennis. By correctly using the simulation training method, according to the standard formulation of American tennis society NTRP (National Tennis Rating Program), tennis beginners can reach the level 3.0-3.5 in a short time, so that the tennis beginners can quickly cross the barrier period in the early learning stage, enjoy the pleasure of tennis, and effectively promote the popularization and popularization of tennis in the sports of the whole people.

From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.

Example 2

In this embodiment, a simulation device for tennis training is further provided, which is used to implement the foregoing embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

Fig. 5 is a block diagram of a simulation apparatus for tennis training according to an embodiment of the present invention, as shown in fig. 5, the apparatus includes: an acquisition module 50, a first calculation module 52, a second calculation module 54, a rendering module 56, wherein,

the acquisition module 50 is used for acquiring ball hitting parameters in a real court through a racket and acquiring ball hitting images in the real court, wherein a tennis training device is deployed in the real court, and the tennis training device comprises: a ball blocking assembly; the ball collecting assembly is arranged adjacent to the ball blocking assembly and is provided with a ball collecting opening; the ball feeding assembly is positioned on one side of the ball receiving assembly, which is far away from the ball blocking assembly, and is used for conveying the collected tennis balls to the ball feeding assembly, and the ball feeding assembly is provided with a ball outlet;

a first calculation module 52, configured to calculate a first track parameter of a first motion track of the target tennis ball in the real court according to the batting parameter and the batting image;

a second calculation module 54, configured to calculate, based on the first trajectory parameter, a second trajectory parameter of the target tennis ball at a virtual court, where the court of the target tennis ball includes the real court and the virtual court;

And a rendering module 56, configured to render a second motion track of the target tennis ball when the target tennis ball moves in the virtual court by using the second track parameter, where the motion track of the target tennis ball includes the first motion track and the second motion track.

Optionally, the acquisition module includes: the first acquisition unit is used for acquiring the ball striking speed in the real court through a speed sensor on the racket; the second acquisition unit is used for acquiring the ball striking angle in the real court through the direction sensor on the racket; the third acquisition unit is used for acquiring the ball striking height in the real court through the height sensor on the racket; a fourth acquisition unit for acquiring the hitting force in the real court through a force sensor on the racket; a fifth acquisition unit for acquiring a racket swing track in a real court through a tracker on the racket; wherein the ball striking parameters include: the ball striking speed, the ball striking angle, the ball striking height, the ball striking force and the racket swing track.

Optionally, the first computing module includes: a first calculation unit, configured to calculate a first initial motion parameter of the target tennis ball using the hitting parameter, where the first initial motion parameter includes: starting point movement speed, starting point movement direction and starting point height; the acquisition unit is used for acquiring the environmental resistance coefficient in the real court; the second calculating unit is configured to calculate a track endpoint parameter of a first motion track of the target tennis ball in the real court by using the first initial motion parameter and the environmental resistance coefficient, where the track endpoint parameter includes: the end point movement speed, the end point movement direction and the end point height; and the correction unit is used for correcting the track endpoint parameter of the first motion track by adopting the batting image.

Optionally, the second computing unit includes: an acquisition subunit, configured to acquire a first course length of the real course and acquire a ball weight of the target tennis ball; and the calculating subunit is used for setting the length of the first court as the longest horizontal length of a first motion track of the target tennis ball in the real court, and calculating a track end point parameter of the target tennis ball after the target tennis ball runs the length of the first court by adopting the first initial motion parameter, the ball weight and the environmental resistance coefficient.

Optionally, the second computing module includes: the determining unit is configured to determine a track endpoint parameter of a first motion track of the target tennis ball in the real court in the first track parameter, where the track endpoint parameter includes: the end point movement speed, the end point movement direction and the end point height; the configuration unit is used for configuring the track endpoint parameters as second initial motion parameters of the target tennis ball in the virtual court; and the calculating unit is used for calculating the intermediate motion parameter and the termination motion parameter of the simulated motion of the target tennis in the real scene by adopting the second initial motion parameter, and determining the intermediate motion parameter and the termination motion parameter as the second track parameter of the target tennis in the virtual court.

Optionally, the rendering module includes: the fitting unit is used for fitting a third motion track of the target tennis ball on a world coordinate system by adopting the second track parameters; the conversion unit is used for obtaining a thumbnail coordinate system of the virtual court, converting the third motion trail from the world coordinate system to the thumbnail coordinate system and obtaining the second motion trail; and the display unit is used for dynamically displaying the second motion trail on a virtual picture where the virtual court is located.

Optionally, the apparatus further includes: a third calculation module, configured to calculate a hitting action parameter of a hitting person according to the hitting parameter and the hitting image after the rendering module renders a second motion track of the target tennis ball when the target tennis ball moves in the virtual court by using the second track parameter, where the hitting action parameter is used to represent a standard degree of action of the hitting person when the hitting person hits the ball; and the fourth calculation module is used for calculating the motion quality parameter of the target tennis ball on the virtual court according to the batting parameter and the batting image, wherein the motion quality parameter is used for representing the standard degree of the motion track of the target tennis ball after being batted by batting personnel.

Optionally, the third computing module includes: the analyzing unit is used for analyzing a plurality of motion limb nodes from the batting image; a selecting unit, configured to select a plurality of key limb nodes from the plurality of sports limb nodes, where the key limb nodes are limb nodes that need to exert a force in a tennis training process, and the key limb nodes include: hands, elbows, shoulders, waists, feet; the calculation unit is used for creating a dynamic 3D human body model by adopting the plurality of key limb nodes and calculating batting action parameters of batting staff according to the motion amplitude of the dynamic 3D human body model; and the correcting unit is used for correcting the batting action parameters by adopting the batting parameters.

Optionally, the computing unit includes: the grid fixing unit is used for fixing the dynamic 3D human body model at the initial swing time, the middle swing time and the end swing time; an adding subunit, configured to add, in a preset coordinate system, a coordinate position combination of the key limb node after the dynamic 3D mannequin is frozen, where the coordinate position combination includes a coordinate position of the corresponding key limb node at a start swing time, an intermediate swing time, and an end swing time; the connecting subunit is used for sequentially connecting all coordinate positions in the coordinate position combination according to the stop-motion time aiming at each key limb node to generate a limb movement track; the calculating subunit is used for calculating the action matching degree of the limb movement track and a preset standard action track; and the determining subunit is used for determining the action matching degree as a batting action parameter of a batting person.

Optionally, the fourth computing module includes: a first calculation unit for calculating a first track parameter of a first motion track of a target tennis ball in the real court according to the batting parameter and the batting image; a second calculation unit, configured to calculate a second track parameter of the target tennis ball on the virtual court based on the first track parameter; the fitting unit is used for fitting a second motion track of the target tennis ball when the target tennis ball moves in the virtual court by adopting the second track parameters; the third calculation unit is configured to calculate a pose matching degree of the second motion track and a preset standard motion track, where a motion pose of the preset standard motion track includes: direction, radian, speed, drop point, height; and the determining unit is used for determining the gesture matching degree as a motion quality parameter of the target tennis ball on the virtual court.

It should be noted that each of the above modules may be implemented by software or hardware, and for the latter, it may be implemented by, but not limited to: the modules are all located in the same processor; alternatively, the above modules may be located in different processors in any combination.

Example 3

An embodiment of the invention also provides a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.

Alternatively, in the present embodiment, the above-described storage medium may be configured to store a computer program for performing the steps of:

s1, acquiring ball hitting parameters in a real court through a racket, and acquiring ball hitting images in the real court, wherein a tennis training device is deployed in the real court, and the tennis training device comprises: a ball blocking assembly; the ball collecting assembly is arranged adjacent to the ball blocking assembly and is provided with a ball collecting opening; the ball feeding assembly is positioned on one side of the ball receiving assembly, which is far away from the ball blocking assembly, and is used for conveying the collected tennis balls to the ball feeding assembly, and the ball feeding assembly is provided with a ball outlet;

s2, calculating a first track parameter of a first motion track of the target tennis ball in the real court according to the batting parameter and the batting image;

s3, calculating second track parameters of the target tennis ball on a virtual court based on the first track parameters, wherein the court of the target tennis ball comprises the real court and the virtual court;

And S4, rendering a second motion track of the target tennis ball when the target tennis ball moves in the virtual court by adopting the second track parameters, wherein the motion track of the target tennis ball comprises the first motion track and the second motion track.

Alternatively, in the present embodiment, the storage medium may include, but is not limited to: a usb disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing a computer program.

An embodiment of the invention also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.

Optionally, the electronic device may further include a transmission device and an input/output device, where the transmission device is connected to the processor, and the input/output device is connected to the processor.

Alternatively, in the present embodiment, the above-described processor may be configured to execute the following steps by a computer program:

Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments and optional implementations, and this embodiment is not described herein.

The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.

In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, such as the division of the units, is merely a logical function division, and may be implemented in another manner, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application and are intended to be comprehended within the scope of the present application.

Claims

1. A method of simulating tennis training, the method comprising:

the tennis training device comprises a tennis training device, a tennis training device and a ball driving device, wherein the tennis training device is used for acquiring ball hitting parameters in a real court through a racket and acquiring ball hitting images in the real court, and the tennis training device comprises: a ball blocking assembly; the ball collecting assembly is arranged adjacent to the ball blocking assembly and is provided with a ball collecting opening; the ball feeding assembly is positioned on one side of the ball receiving assembly, which is far away from the ball blocking assembly, and is used for conveying the collected tennis balls to the ball feeding assembly, and the ball feeding assembly is provided with a ball outlet;

calculating a first track parameter of a first motion track of a target tennis ball in the real court according to the batting parameter and the batting image;

calculating a second track parameter of the target tennis ball on a virtual court based on the first track parameter, wherein the court of the target tennis ball comprises the real court and the virtual court;

And rendering a second motion track of the target tennis ball when the target tennis ball moves in the virtual court by adopting the second track parameters, wherein the motion track of the target tennis ball comprises the first motion track and the second motion track.

2. The method of claim 1, wherein capturing the parameters of the ball striking in the real world course with the racket comprises:

collecting the ball striking speed in a real court through a speed sensor on the racket;

collecting a ball striking angle in a real court through a direction sensor on the racket;

collecting the ball striking height in the real court through a height sensor on the racket;

collecting the ball striking force in a real court through a force sensor on the racket;

acquiring a racket swing track in a real court through a tracker on the racket;

wherein the ball striking parameters include: the ball striking speed, the ball striking angle, the ball striking height, the ball striking force and the racket swing track.

3. The method of claim 1, wherein calculating a first trajectory parameter for a first motion trajectory of a target tennis ball in the real world course from the ball striking parameter and the ball striking image comprises:

Calculating a first initial motion parameter of the target tennis ball by adopting the batting parameter, wherein the first initial motion parameter comprises: starting point movement speed, starting point movement direction and starting point height;

acquiring an environmental resistance coefficient in the real court;

calculating a track endpoint parameter of a first motion track of the target tennis ball in the real court by adopting the first initial motion parameter and the environmental resistance coefficient, wherein the track endpoint parameter comprises: the end point movement speed, the end point movement direction and the end point height;

and correcting the track endpoint parameter of the first motion track by adopting the batting image.

4. A method according to claim 3, wherein calculating a trajectory end parameter of a first motion trajectory of the target tennis ball in the real world course using the first initial motion parameter and the environmental resistance coefficient comprises:

acquiring a first court length of the real court and acquiring a ball weight of the target tennis ball;

setting the length of the first court as the longest horizontal length of a first motion track of a target tennis ball in the real court, and calculating a track end point parameter of the target tennis ball after the target tennis ball runs the length of the first court by adopting the first initial motion parameter, the ball weight and the environmental resistance coefficient.

5. The method of claim 1, wherein calculating a second trajectory parameter of the target tennis ball at a virtual course based on the first trajectory parameter comprises:

determining a track endpoint parameter of a first motion track of the target tennis ball in the real court in the first track parameter, wherein the track endpoint parameter comprises: the end point movement speed, the end point movement direction and the end point height;

configuring a track endpoint parameter as a second initial motion parameter of the target tennis ball at the virtual court;

and calculating intermediate motion parameters and ending motion parameters of the simulated motion of the target tennis in the real scene by adopting the second initial motion parameters, and determining the intermediate motion parameters and ending motion parameters as second track parameters of the target tennis in the virtual court.

6. The method of claim 1, wherein rendering a second motion profile of the target tennis ball as it moves in the virtual court using the second profile parameter comprises:

fitting a third motion track of the target tennis ball on a world coordinate system by adopting the second track parameters;

acquiring a thumbnail coordinate system of the virtual court, and converting the third motion trail from the world coordinate system to the thumbnail coordinate system to obtain the second motion trail;

And dynamically displaying the second motion trail on a virtual picture where the virtual court is located.

7. The method of claim 1, wherein after rendering a second motion profile of the target tennis ball as it moves in the virtual court using the second profile parameter, the method further comprises:

calculating a batting action parameter of a batting person according to the batting parameter and the batting image, wherein the batting action parameter is used for representing the action standard degree of the batting person when batting;

and calculating the motion quality parameter of the target tennis ball on the virtual court according to the batting parameter and the batting image, wherein the motion quality parameter is used for representing the standard degree of the motion track of the target tennis ball after being batted by batting personnel.

8. The method of claim 7, wherein calculating a batting action parameter of a batting person from the batting parameters and the batting image comprises:

resolving a plurality of motion limb nodes from the batting image;

selecting a plurality of key limb nodes from the plurality of sports limb nodes, wherein the key limb nodes are limb nodes needing to exert force in the tennis training process, and the key limb nodes comprise: hands, elbows, shoulders, waists, feet;

Creating a dynamic 3D human body model by adopting the plurality of key limb nodes, and calculating batting action parameters of batting staff according to the motion amplitude of the dynamic 3D human body model;

and correcting the batting action parameters by adopting the batting parameters.

9. The method of claim 8, wherein calculating a striking motion parameter of a striking person from a magnitude of motion of the dynamic 3D mannequin comprises:

the dynamic 3D human body model is fixed in the initial swing time, the middle swing time and the end swing time;

adding a coordinate position combination of the key limb nodes after the dynamic 3D human body model is fixed in a preset coordinate system, wherein the coordinate position combination comprises coordinate positions of the corresponding key limb nodes in the initial swing time, the middle swing time and the end swing time;

sequentially connecting all coordinate positions in the coordinate position combination according to the stop motion time aiming at each key limb node to generate a limb movement track;

calculating the action matching degree of the limb movement track and a preset standard action track;

and determining the action matching degree as a batting action parameter of a batting person.

10. The method of claim 7, wherein calculating a quality of motion parameter of a target tennis ball at the virtual court from the shot parameters and the shot image comprises:

calculating a second track parameter of the target tennis ball on the virtual court based on the first track parameter;

fitting a second motion track of the target tennis ball when the target tennis ball moves in the virtual court by adopting the second track parameters;

calculating the gesture matching degree of the second motion track and a preset standard motion track, wherein the motion gesture of the preset standard motion track comprises: direction, radian, speed, drop point, height;

and determining the gesture matching degree as a motion quality parameter of the target tennis ball on the virtual court.

11. A simulation device for tennis training, comprising:

the acquisition module is used for acquiring ball hitting parameters in a real court through a racket and acquiring ball hitting images in the real court, wherein a tennis training device is deployed in the real court, and the tennis training device comprises: a ball blocking assembly; the ball collecting assembly is arranged adjacent to the ball blocking assembly and is provided with a ball collecting opening; the ball feeding assembly is positioned on one side of the ball receiving assembly, which is far away from the ball blocking assembly, and is used for conveying the collected tennis balls to the ball feeding assembly, and the ball feeding assembly is provided with a ball outlet;

The first calculation module is used for calculating first track parameters of a first motion track of the target tennis ball in the real court according to the batting parameters and the batting images;

a second calculation module, configured to calculate a second track parameter of the target tennis ball on a virtual court based on the first track parameter, where the court of the target tennis ball includes the real court and the virtual court;

and the rendering module is used for rendering a second motion track of the target tennis ball when the target tennis ball moves in the virtual court by adopting the second track parameters, wherein the motion track of the target tennis ball comprises the first motion track and the second motion track.

12. The electronic equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; wherein:

a memory for storing a computer program;

a processor for executing the method steps of any one of claims 1 to 10 by running a program stored on a memory.

13. A storage medium comprising a stored program, wherein the program when run performs the method steps of any of the preceding claims 1 to 10.