WO2018036016A1 - Method for achieving exercising, client end and service end - Google Patents

Abstract

A method for achieving exercising, client end and service end, used to make it more fun for a user to exercise alone as well as to enhance the user's enthusiasm. The method comprises: a client end obtaining pair exercise request information of a target pair exercise program initiated by a user (101); the client sending the pair exercise request information to a service end (102), so that the service end determines whether the pair exercise request information satisfies a preset pair exercise condition (103); if the preset pair exercise condition is satisfied, the client end receiving pair exercise response information sent by the service end (105); the client end starting a pair exercise function according to the pair exercise response information, and obtaining real-time movement data of a target body part of the user as collected by an intelligent wearable device (106), the intelligent wearable device communicating with the client end; the client end sending the real-time movement data to the service end (107); the client end receiving real-time pair exercise information fed back by the service end according to the real-time movement data (109), and outputting the real-time pair exercise information in a target pair exercise scene (110), so that the user can adjust the real-time movement data according to the real-time pair exercise information.

Description

Exercise implementation method, client and server

This application claims the priority of the Chinese patent application filed on August 26, 2016, the Chinese Patent Office, the application number is 201610740842.X, and the invention name is "an exercise implementation method, client and server". The citations are incorporated herein by reference.

Technical field

The present invention relates to the field of augmented reality technologies, and in particular, to an exercise implementation method, a client, and a server.

Background technique

With the continuous development and maturity of electronic technology, in the increasingly popular mobile terminals, software functions are becoming more and more abundant to meet the increasing personalization needs of users. Among them, the human-computer interaction mode brings a new game experience to users. It has become an important way to maintain the competitiveness of mobile terminal products.

In real life, people are mostly in a sub-health state due to work, life or learning pressure. However, due to environmental or personal reasons, it is often impossible to use the surrounding facilities or actively and effectively exercise through the gym. For the individual, for a long time. The single-player exercise will produce slack and boredom, which greatly affects the effect of exercise. If you can use the machine interactive game to imitate all the actions of the characters in the game, you can make people meet the entertainment needs while exercising.

In the prior art, the human body interaction game is based on the application of a plurality of intelligent sensor information fusion such as a gravity acceleration sensor on a hardware device, an inertial sensor such as a gyroscope, and an electromagnetic sensor such as an electronic compass, so as to achieve the purpose of recognizing the motion track of the hardware device itself. However, in the existing human-computer interaction game, the virtual game-playing practice is not performed on the user's real sports data, so as to enrich the user's exercise mode, improve the user's exercise mood, and bring a more realistic exercise experience to the user. .

Summary of the invention

The embodiment of the invention provides a training implementation method, a client and a server, which are used for changing a traditional exercise method, and the virtual training method is beneficial to increase the user's interest in exercising a single person, and also improves the user's interest. The user's exercise enthusiasm makes the user's exercise effect improved.

In view of this, the first aspect of the present invention provides a training implementation method, which may include:

The client obtains the training request information of the target-to-training project initiated by the user;

The client sends the training request information to the server, so that the server determines whether the preset training condition is met according to the training request information.

If the preset training condition is met, the client receives the training response information sent by the server;

The client starts the pairing function according to the training response information, and obtains real-time motion data of the target body part of the user collected by the smart wearable device, and the smart wearable device communicates with the client;

The client sends real-time motion data to the server;

The client receives the real-time training information fed back by the server according to the real-time motion data, and outputs the real-time training information in the target-pairing scenario, so that the user adjusts the real-time motion data according to the real-time training information.

With reference to the first aspect of the embodiments of the present invention, in a first implementation manner of the first aspect of the embodiments of the present disclosure, before the client obtains the user-initiated training request information, the method further includes:

The client obtains the personal attribute information of the user, and sends the personal attribute information to the server;

The client receives the pairing group information fed back by the server, so that the user initiates the pairing request information according to the training group information;

or,

The client obtains the custom pairing group information established by the user, so that the user initiates the training request information according to the customized group information.

In conjunction with the first aspect of the embodiments of the present invention, or the first implementation manner of the first aspect of the embodiments of the present invention, in the second implementation manner of the first aspect of the embodiment of the present invention, real-time motion is performed on the client. Before the data is sent to the server, the method also includes:

The client sends the training scenario request information to the server;

The client receiving server selects information according to the training scenario sent by the training scenario request information, and outputs the training scenario selection information;

The client obtains the target pairing scenario according to the feedback of the training scene information.

With reference to the first aspect of the embodiments of the present invention, the first embodiment or the second embodiment of the first aspect of the embodiment of the present invention, in the third implementation manner of the first aspect of the embodiment of the present invention, After receiving the real-time training information of the real-time motion data feedback, and receiving the real-time training information in the target-pairing scenario, the method further includes:

The client receives the training result information fed back by the server;

The client outputs the result information of the training; and/or,

The client receives the training point information fed back by the server;

The client outputs the pairing point information.

A second aspect of the present invention provides a workout implementation method, which may include:

The server receives the training request information sent by the client;

The server determines whether the preset training conditions are met according to the training request information;

If the preset training condition is met, the server sends the response information to the client;

The server receives real-time motion data sent by the client;

The server calculates the real-time training information based on the real-time motion data, and feeds the real-time training information to the client.

With reference to the second aspect of the embodiments of the present invention, in a first implementation manner of the second aspect of the embodiment of the present invention, before the server receives the training request information sent by the client, the method further includes:

The server receives the personal attribute information sent by the client;

The server establishes a target pairing group according to the personal attribute information, and feeds back the pairing group information corresponding to the target group to the client.

With reference to the first embodiment of the second aspect of the embodiments of the present invention, in the second implementation manner of the second aspect of the embodiment of the present invention, the server determines, according to the training request information, whether the preset training conditions are met:

The server determines whether the training request information includes a real object restriction condition;

If the real object restriction condition is included, the server broadcasts the training request information in the target pairing group, and determines whether the number of responding pairs is greater than a preset threshold.

With reference to the second aspect of the embodiments of the present invention, the first embodiment or the second embodiment of the second aspect of the embodiment of the present invention, in the third implementation manner of the second aspect of the embodiment of the present invention, Before receiving the real-time motion data sent by the client, the method further includes:

The server receives the request information of the training scenario sent by the client;

The server sends the training scenario selection information to the client according to the training scenario request information.

With reference to the second aspect of the embodiments of the present invention, any one of the first to third embodiments of the second aspect of the embodiment of the present invention, the fourth implementation of the second aspect of the embodiment of the present invention In the method, after the real-time training information is calculated by the server according to the real-time motion data, and the real-time training information is fed back to the client, the method further includes:

The server determines the training result information according to the real-time motion data and the first preset rule, and feeds back the training result information to the client; and/or,

The server determines the training point information according to the training result information and the second preset rule, and feeds back the training point information to the client.

With reference to the second aspect of the embodiments of the present invention, the first to fourth embodiments of the second aspect of the embodiments of the present invention, in the fifth implementation manner of the second aspect of the embodiment of the present invention, the server Calculating real-time training information based on real-time motion data includes:

The server determines the motion speed and motion trajectory of the target body part by analyzing the real-time motion data;

The server quantizes the motion speed and motion trajectory of the target body part according to the third preset rule, and obtains real-time training information.

A third aspect of the present invention provides a client, which may include:

The first obtaining module is configured to receive the training request information of the target-to-training item initiated by the user; the first sending module is configured to send the training request information to the server, so that the server determines whether the training request information is satisfied according to the training request information. Preset the training conditions;

The first receiving module is configured to receive the training response information sent by the server when the preset training condition is met;

The module is opened, and the function of the training is started according to the response information of the training;

a second acquiring module, configured to acquire real-time motion data of a target body part of the user collected by the smart wearable device, where the smart wearable device is in communication connection with the client;

a second sending module, configured to send real-time motion data to the server;

a second receiving module, configured to receive real-time training information fed back by the server according to real-time motion data;

The first output module is configured to output real-time training information in the target pairing practice scene, so that the user adjusts the real-time motion data according to the real-time training information.

With reference to the third aspect of the embodiments of the present invention, in a first implementation manner of the third aspect of the embodiments, the client further includes:

a third obtaining module, configured to obtain personal attribute information of the user;

a third sending module, configured to send personal attribute information to the server;

The third receiving module is configured to receive the training group information fed back by the server, so that the user initiates the training request information according to the training group information;

or,

The fourth obtaining module is configured to obtain the customized pairing group information established by the user, so that the user initiates the training request information according to the customized group information.

With reference to the third aspect of the embodiments of the present invention, or the first implementation manner of the third aspect of the embodiments of the present invention, in the second implementation manner of the third aspect of the embodiment, the client further includes:

a fourth sending module, configured to send the racing scene request information to the server;

a fourth receiving module, configured to receive the training scenario selection information sent by the server according to the racing scene request information;

a second output module, configured to output a pair of training scene selection information;

The fifth obtaining module is configured to acquire a target pairing scenario that the user feeds back according to the training scene information.

With reference to the third aspect of the embodiments of the present invention, the first embodiment or the second implementation manner of the third aspect of the embodiment of the present invention, in the third implementation manner of the third aspect of the embodiment of the present invention, the client Also includes:

The fifth receiving module is configured to receive the training result information fed back by the server;

a third output module, configured to output training result information; and/or,

a sixth receiving module, configured to receive the training point information fed back by the server;

The fourth output module is configured to output the pairing point information.

A fourth aspect of the present invention provides a server, which may include:

The first receiving module is configured to receive the training request information sent by the client;

The determining module is configured to determine, according to the training request information, whether the preset training condition is met;

The first sending module is configured to send the training response information to the client when the preset training condition is met;

a second receiving module, configured to receive real-time motion data sent by the client;

a calculation module, configured to calculate real-time training information according to real-time motion data;

The first feedback module is configured to feed back real-time training information to the client.

With reference to the fourth aspect of the embodiments of the present invention, in a first implementation manner of the fourth aspect of the embodiments, the server further includes:

a third receiving module, configured to receive personal attribute information sent by the client;

Establish a module, which is set to establish a target pairing group according to personal attribute information;

The second feedback module is configured to feed back the pairing group information corresponding to the target pairing group to the client.

With reference to the fourth aspect of the embodiments of the present invention, or the first implementation manner of the fourth aspect of the embodiments of the present invention, in a second implementation manner of the fourth aspect of the embodiments of the present invention, the determining module includes:

a first determining unit, configured to determine whether the training request information includes a real object restriction condition;

a broadcast unit, configured to broadcast the training request information in the target pairing group when the real object restriction condition is included;

The second determining unit is configured to determine whether the number of training participants is greater than a preset threshold.

With reference to the fourth aspect of the embodiments of the present invention, the first implementation manner or the second implementation manner of the fourth aspect of the embodiment of the present invention, in the third implementation manner of the fourth aspect of the embodiment of the present invention, the server Also includes:

The fourth receiving module is configured to receive the request information of the training scenario sent by the client;

The second sending module is configured to send the training scenario selection information to the client according to the training scenario request information.

With reference to the fourth aspect of the embodiments of the present invention, any one of the first to third embodiments of the fourth aspect of the embodiment of the present invention, the fourth implementation of the fourth aspect of the embodiment of the present invention In the mode, the server also includes:

The first determining module is configured to determine the training result information according to the real-time motion data and the first preset rule;

a third feedback module, configured to feed feedback information to the client; and/or,

The second determining module is configured to determine the training point information according to the training result information and the second preset rule;

The fourth feedback module is configured to feed back the training point information to the client.

With reference to the fourth aspect of the embodiments of the present invention, any one of the first to fourth embodiments of the fourth aspect of the embodiment of the present invention, the fifth implementation of the fourth aspect of the embodiment of the present invention In the mode, the calculation module includes:

a determining unit configured to determine a moving speed and a motion trajectory of the target body part by analyzing the real-time motion data;

The quantization unit is configured to quantize the motion speed and the motion trajectory of the target body part according to the third preset rule to obtain real-time training information.

It can be seen from the above technical solutions that the embodiments of the present invention have the following advantages:

In this embodiment, by performing the pairing function on the client, the smart wearable device can be used to collect real-time motion data of the target body part of the user. After the real-time motion data is processed by the server, the real-time pair can be output in the target pairing scene. Practice information, so that users can understand their own training situation in real time through the client, and can adjust their real-time sports data in time to achieve better training effect. At the same time, interactive exercise through the client not only enhances the single-person exercise. The fun of the body, and can enhance the user's challenge of exercising, and thus provide users with a more interesting way of exercising in daily life.

DRAWINGS

1 is a schematic diagram of an embodiment of an exercise implementation method according to an embodiment of the present invention;

2 is a schematic diagram of another embodiment of an exercise implementation method according to an embodiment of the present invention;

3 is a schematic diagram of another embodiment of an exercise implementation method according to an embodiment of the present invention;

4 is a schematic diagram of an embodiment of a client in an embodiment of the present invention;

FIG. 5 is a schematic diagram of another embodiment of a client according to an embodiment of the present invention; FIG.

6 is a schematic diagram of an embodiment of a server in an embodiment of the present invention;

FIG. 7 is a schematic diagram of another embodiment of a server in an embodiment of the present invention;

FIG. 8 is a schematic structural diagram of still another embodiment of a client according to an embodiment of the present disclosure;

FIG. 9 is a schematic structural diagram of still another embodiment of a server according to an embodiment of the present invention.

detailed description

The embodiment of the invention provides a training implementation method, a client and a server, which are used for changing a traditional exercise method, and the virtual training method is beneficial to increase the user's interest in exercising a single person, and also improves the user's interest. The user's exercise enthusiasm makes the user's exercise effect improved.

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is an embodiment of the invention, but not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of the present invention.

The terms "first", "second", "third", "fourth", etc. (if present) in the specification and claims of the present invention and the above figures are used to distinguish similar objects without having to use To describe a specific order or order. It is to be understood that the data so used may be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than what is illustrated or described herein. In addition, the terms "comprises" and "comprises" and "the" and "the" are intended to cover a non-exclusive inclusion, for example, a process, method, system, product, or device that comprises a series of steps or units is not necessarily limited to Those steps or units may include other steps or units not explicitly listed or inherent to such processes, methods, products or devices.

In order to better understand an exercise implementation method disclosed in the embodiment of the present invention, a client to which the embodiment of the present invention is applied is first described. The client described in the embodiment of the present invention may include any device having a display screen and communication and storage functions, such as a smart device such as a tablet computer, a mobile phone, a desktop computer, etc., and the client may be installed with the following operating systems: Android, Linux. , IOS, Windows, etc., the client can further install several applications based on the installed operating system, the application can be a system application pre-installed by the client before the factory, such as a mailbox application, a setting application, a music application, a browser application. The camera application, etc., may also be a third-party application installed by the user, such as a QQ application, a WeChat application, an Alipay application, a Weibo application, and the like. In particular, the client in the embodiment of the present invention may be equipped with a sports competitive application related to a sports item to implement the training in the embodiment of the present invention.

It should be noted that the application scenario of the practice in the embodiment of the present invention may be indoor or outdoor, as long as the single-person space enables the user to perform the exercise, which is not limited herein.

For ease of understanding, the specific process in the embodiment of the present invention is described by the signaling interaction diagram between the client and the server. Referring to FIG. 1 , an embodiment of the method for implementing the exercise in the embodiment of the present invention includes:

101. The client obtains the training request information of the target-to-training project initiated by the user;

In this embodiment, after the client is equipped with the sports competition application related to the sports item, the user can register on the server side through the client to become the registered user of the sports competition application, and when the user wants to exercise, but one person exercises When it is boring, or not challenging, you can log in to the sports application on the client and can initiate a request for training. The client can obtain the request information of the target-to-training project initiated by the user.

Specifically, the sports competitive application in this embodiment may include various sports items, such as running, table tennis, badminton, tennis, boxing, and the like, and the target training item may be all sports items of the user in the sports competitive application. Any of them. In addition, in the sports competition application, registered users can learn from each other, and the registered user can also challenge the virtual object in the sports competition application to achieve the purpose of exercising through training.

It can be understood that the game application in this embodiment may also be installed on the client, such as the online training function through the webpage in the client, which is not limited herein.

102. The client sends the training request information to the server.

In this embodiment, after the client obtains the training request information of the target-to-training project initiated by the user, the client may send the training request information to the server.

103, the server determines whether the preset training condition is met according to the training request information, if not, executing step 104, and if yes, executing step 105;

In this embodiment, after receiving the training request information sent by the client, the server may determine, according to the training request information, whether the preset training condition is met, that is, whether the user can use the sports competitive application to perform training, and the exercise has been achieved. the goal of.

Specifically, in practical applications, specifically, in practical applications, the user can perform training with the real object through the sports competitive application, that is, other registered users in the sports competitive application, or can perform racing with the virtual object to satisfy Different users' training needs. If the user is limited to the real object in the training request information, the request of the respective registered users is inconsistent, and in the case of a conflict, the user may be unable to perform the training, and the server may perform the request according to the training. The information judges whether the preset training condition is satisfied, and the preset training condition can be preset by the user, or the server can satisfy the minimum requirement of the practicing function as the preset training condition. If the user does not restrict the racing with the real object in the racing request information, the default is to satisfy the preset training condition, and the server may output the selection information of the virtual object to the user through the client according to the training request information, so that the user You can do it by selecting a virtual object.

104. End the process;

If the server determines that the preset training conditions are not met according to the training request information, the server may not perform other operations, so that the user cannot perform the training through the client, that is, the process ends.

It can be understood that, in actual application, if the training cannot be performed, the server may send a request failure request information to the client, so that the client can perform corresponding reminding to the user.

105. The server sends the response information to the client.

If the server determines that the preset training conditions are met according to the training request information, the user can perform the training through the client, and the server can send the response information to the client.

106. The client starts the training function according to the training response information, and acquires real-time motion data of the target body part of the user collected by the smart wearable device;

After receiving the response information sent by the server, the client can enable the pairing function and obtain real-time motion data of the target body part of the user collected by the smart wearable device, wherein the smart wearable device is in communication with the client.

Specifically, in practical applications, the smart wearable device may be applied to various body parts of the user, such as an arm, such as a leg. The specific type may include, but is not limited to, a smart wristband, etc., before the user starts to practice the smart wear device. That is, the client communicates with the client before the client opens the training function to facilitate data transmission. When the client opens the training function according to the response information, the user can be prompted to make the user ready for training, and the client can also send corresponding information to the smart wearable device to notify the smart wearable device to start. data collection.

For example, if the target selected by the user is badminton, the user can wear a smart bracelet, and the smart bracelet can be connected with the client through Bluetooth. When the client reminds the user to start the training, the user can proceed as usual. Like the real movement of badminton, waving the arm, the smart bracelet can collect real-time motion data of the user's arm. Further, since the user also performs leg movements during the movement of the badminton, such as jumping, such as running, in order to improve the user's real feeling, the user can also wear a smart wearing device that detects the movement of the foot. The smart wearable device can also be connected to the client via Bluetooth to complete data transmission with the client. It should be noted that the smart wristband and the Bluetooth connection in this embodiment are only examples. In actual applications, data collection and data transmission may be performed in other manners, which is not limited herein.

It can be understood that, in practical applications, after receiving the real-time motion data collected by the smart wearable device, the client may also calculate the energy consumed by the user according to the real-time motion data, and may prompt the user after the training ends. The total energy consumed in the pair exercises to encourage the user to exercise actively and effectively.

It should be noted that, in the embodiment, the function of turning on the training means that the user starts to perform the training. After the description here, the description will not be repeated later.

The real-time motion data in this embodiment may include, but is not limited to, a motion speed and a motion trajectory of the target body part.

107. The client sends real-time motion data to the server;

After the client obtains the real-time motion data of the target body part of the user, the real-time motion data can be sent to the server.

108. The server calculates real-time training information according to real-time motion data;

After receiving the real-time motion data sent by the client, the server can calculate the real-time training information according to the real-time motion data.

Specifically, in practical applications, if the user and the real object are paired, the server can obtain real-time motion data of all the training objects, and the server can not only convert the corresponding real-time motion data into individual pairs of training objects in sports. The motion state of the corresponding virtual character in the competitive application, and the server can analyze and compare all the real-time motion data of the training object to obtain real-time training information. If the user and the virtual object are paired, the server may perform the conversion according to the motion data of the virtual object after acquiring the real-time motion data of the target body part of the user, so as to realize the real-time motion data of the user and the motion data of the virtual object. Compared with, get real-time training information.

For example, suppose that the user performs a one-on-one badminton match with the real object. If the user is the serving object at this time, the real badminton training in the actual badminton training can be determined by the real-time motion data of the target body part of the user received. The trajectory, at the same time, can determine whether the real object can be connected to the virtual badminton through the real-time motion data of the real object, thereby obtaining the real-time training information of the user, and can represent the motion information of the virtual badminton.

Understandably, the server can record real-time racing information to determine the outcome of the car after the car is over.

109. The server will feedback the training information to the client in real time;

In this embodiment, after the server calculates the real-time training information, the real-time training information can be fed back to the client.

110. The client outputs real-time training information in the target-pairing scenario, so that the user adjusts the real-time motion data according to the real-time training information.

After receiving the real-time training information sent by the server, the client may output the real-time training information in the target training scenario, so that the user can adjust the real-time motion data according to the real-time training information.

In the actual application, after the client starts the pairing function, when the user performs a series of pairing exercises, the data transmission between the client and the server should be synchronized, so that the current state of motion of the user meets the target pairing practice. And the client can output the real-time pairing information of the user in the target pairing practice scene. Specifically, the client can output the real-time training information through multimedia or the like in a manner suitable for the sports item, so as to improve the user's visual experience, and the user can not only see the real-time training situation of the user, but also can see the pair of practicing opponents. Practice the situation, so that real-time motion data can be adjusted in time according to the real-time training information. For example, if the user performs a one-on-one badminton match with the real object, then in the target pairing scene corresponding to the badminton game, the user and the real object may have corresponding virtual characters A and B respectively, if the score of A at this time Behind B, then A can tumble B by changing the direction of movement of the arm, speed of movement, etc., in order to increase the score of the player, so that the user can exercise the body during the badminton training and enjoy the badminton. pleasure.

In this embodiment, the user can bind the smart wearable device to the client, and can perform a pair of sports items with the real object or the virtual object when the client opens the training function, and the client is at the target. In the practice scene, the real-time real-time training situation can be feedback, so that even if the user exercises in the single-person space, the user can realize the fun of practicing with the real object or the virtual object, further enhancing the challenge of the user to exercise and enriching. The way the user exercised.

It should be noted that, in this embodiment, a pairing group may be established, so that the user may initiate the training request information in the training group, which is specifically described below:

Referring to FIG. 2, another embodiment of the exercise implementation method in the embodiment of the present invention includes:

201. The client obtains personal attribute information of the user.

In this embodiment, after the client is equipped with the relevant sports competitive application, the user can register on the server through the client, become a registered user of the sports competitive application, and can further improve his personal attribute information, and the client can obtain The user's personal attribute information is used to better implement the pairing function. The personal attribute information may include information such as the sports item that the user is good at, the level of the corresponding sports item, the duration of the corresponding sports item, and the age of the user.

202. The client sends the personal attribute information to the server.

In this embodiment, after the client obtains the personal attribute information of the user, the client may send the personal attribute information to the server.

203. The server establishes a target pairing group according to the personal attribute information.

After receiving the personal attribute information sent by the client, the server may establish a target pairing group according to the personal attribute information.

Specifically, there may be multiple registered users in the corresponding sports competitive application, and the personal attribute information of each registered user may be inconsistent. In order to achieve fairness and consistency in the target pairing practice group, the user may be based on the sports item that the user is good at, the level of the corresponding sports item, the contact time of the corresponding sports item, and the age of the user. The target pairing group, for example, the sports competition application has five registered users A, B, C, D, and E. The personal attribute information of the five registered users is shown in Table 1.

Table 1

	Good at projects	Level	Contact time	age
A	badminton	medium	10 years	30
B	pingpong	higher	15 years	26
C	basketball	Middle and upper	8 years	18
D	badminton	Middle and upper	13 years	28
E	tennis	medium	6 years	25

It can be known from the information in the above table that the sports items that B and D registered users are good at are consistent, and the level, contact time and age are not much different, so that the target pair can be established with B and D.

It can be understood that the embodiment only illustrates the specific manner in which the server establishes a target pairing group according to the personal attribute information. In actual applications, the target pairing group may also be established according to other methods, such as a service. The terminal can combine the two factors of the user's geographical location and the good project to establish a target pairing group. The specific establishment method is not limited here.

Further, in this embodiment, after the target pairing group is established, the server may save the target pairing group, and when the user's personal attribute information is changed, the server may update the target pairing group, Assign users a more appropriate pairing group.

204. The server feeds back the pairing group information corresponding to the training group to the client.

In this embodiment, after the server establishes the target pairing group according to the personal attribute information, the server may feed back the pairing group information corresponding to the target group to the client.

Specifically, the group information may include, but is not limited to, the number of group members, the personal attribute information corresponding to each group member, the online information of each group member, and the pairing information of each group member, and the client receives the pair of training groups. After the group information, the pairing group information can be fed back to the user, so that the user can learn the basic situation of the other group members through the pairing group information, and can initiate a training request to the client according to the pairing group information. information.

Steps 205 to 206 in this embodiment are the same as steps 101 to 102 in the embodiment shown in FIG. 1, and details are not described herein again.

207, the server determines whether the training request information includes a real object restriction condition, if not, then proceeds to step 210, and if so, proceeds to step 208;

In this embodiment, after receiving the training request information sent by the client, the server may parse the training request information, and determine whether the training request information includes a real object restriction condition, that is, whether the user requests to perform a pair with the real object. practice.

208, the server broadcasts the pairing request information in the target pairing group, and determines whether the number of responding pairs is greater than a preset threshold, and if not, executing step 209, and if yes, executing step 210;

If the server determines that the training request information includes a real object restriction condition, the server may broadcast the training request information in the target pairing group, so that other online members other than the user itself in the target pairing group can receive After the pairing request information is received, the other online members can participate in the training request information, and if they are interested in participating in the training, they can respond to the training request information and notify the server, and the server can respond to the number of participants. Statistics are performed and it can be judged whether the number of participants in the response is greater than a preset threshold.

In this embodiment, in order to enable the user to select an appropriate pair of training objects, the preset threshold may be set by the user on the client, and the preset threshold may be carried in the racing request information. If the user does not set the preset threshold, The server may also define the preset threshold by itself, for example, the minimum target number of the pair is a preset threshold. If the target pair is a pair of badminton, the preset threshold may be 2, if the target is paired For the second to second pair of badminton, the preset threshold may be 4, or may be set according to the number of members of the target racing group, which is not limited herein.

209. End the process;

If the number of participants in the server response is not greater than the preset threshold, no other operations may be performed, so that the user cannot perform the training through the client, that is, the process ends. Correspondingly, the server can notify the client that the request for the training fails, the client can feedback to the user, and can suggest that the user adopt other feasible training modes.

Step 210 in this embodiment is the same as step 105 in the embodiment shown in FIG. 1, and details are not described herein again.

It can be understood that, in this embodiment, if the server determines that the training request information does not include the real object restriction condition, the server may perform the pairing exercise by the default user, so that the user can perform the training with the virtual object.

211. The client sends the request information of the training scenario to the server.

In this embodiment, in order to improve the enthusiasm of the user and the enthusiasm of the exercise, the client may send the training scenario request information to the server.

It can be understood that, in this embodiment, the sending of the request information of the training scenario may be triggered by a certain operation of the user, or may be performed by the client spontaneously, which is not limited herein.

212. The server sends the training scenario selection information to the client according to the training scenario request information.

After receiving the request information of the training scenario sent by the client, the server may retrieve the preset training scenario, and package and package all the training scenarios corresponding to the target training project into the pairing scenario selection information, and then send the message to the pairing scenario selection information. Server.

It can be understood that the training scene selection information may only include a part of the pairing practice scene corresponding to the target pairing practice item stored in the server, for example, in the training scene request information, which is limited to the indoor pairing scene, then the server sends the information. The training scene selection information may include only the selection information of the category of the indoor pairing scene corresponding to the target pairing practice item.

213. The client outputs the selection information of the training scene;

After receiving the pairing scenario selection information sent by the server, the client may output the pairing scenario selection information for the user to select.

Specifically, the racing scene selection information may be output through a manner such as multimedia, a picture, etc., such as being arranged from left to right in a picture manner, and the arranged pictures may be slid left and right for convenient operation, and may also be operated by short video. Each pair of training scenarios is introduced, so that users can fully understand each pair of training scenarios.

214. The client obtains a target training scenario according to the feedback of the training scenario information by the user.

After the client outputs the training scene selection information, the user can select the training scene according to the training scene selection information. After selecting a target pair training scene, the target training scene can be fed back to the client. The client can obtain the target pairing scenario.

Steps 215 to 216 in this embodiment are the same as steps 106 to 107 in the embodiment shown in FIG. 1, and details are not described herein again.

It can be understood that steps 211 to 214 in this embodiment may also be performed before step 210, and may also be performed before step 107, as long as it can be executed before the client sends real-time motion data, specifically not here. limited.

217. The server determines the motion speed and the motion trajectory of the target body part by analyzing the real-time motion data.

In this embodiment, after receiving the real-time motion data of the target body part of the user, the server can analyze the real-time motion data of the target body part, and can determine the motion speed and the motion track of the target body part.

For example, if the user has a smart bracelet on his arm and the user is performing a swinging motion from the back to the front, the server can determine that the motion track of the user's arm is backward and forward by analyzing the received real-time motion data. And can determine the speed of this swing arm movement.

It can be understood that, in practical applications, in addition to determining the motion speed and the motion trajectory of the target body part, the server can determine other real-time motion data such as the motion time of the target body part, which is not limited herein.

218. The server quantizes the motion speed and the motion trajectory of the target body part according to the third preset rule, and obtains real-time training information;

After the server determines the motion speed and the motion trajectory of the target body part, the motion speed and the motion trajectory of the target body part can be quantified according to the third preset rule, and real-time training information is obtained.

Specifically, in practical applications, if the user performs training with the real object, on the one hand, the server can directly compare the motion speed and the motion trajectory of the target body part of the user with the data information corresponding to the real object to obtain the target pair. The current state of the project is practiced, so that real-time training information can be obtained. For example, if the user and the real object perform a one-on-one badminton match, the target can be determined by comparing the movement speed and the movement track of the user and the real object's arm. For the sports information of the virtual badminton in the training project, such as the movement track in the air or whether the user receives the badminton and other information, the real-time training information can be obtained. On the other hand, the server can also process the movement speed and the movement trajectory of the target body part of the user, for example, the user performs a one-to-one S-shaped skateboard movement with the real object, and then the server passes the user's foot. The movement speed and the movement track are weakened, that is, when the user passes the virtual S-bend, the user can only complete the small step to the right, but in order to strengthen the user's exercise intensity, the user needs to take a big step to the right to complete. The real motion speed and motion trajectory of the user are weakened by the server, and the user's processing speed and motion trajectory of the opponent's target part are also processed, so that real-time training information can be obtained. In addition, if the user performs the pairing with the virtual object, the server can quantize the virtual virtual motion speed and the virtual motion trajectory of the virtual object after acquiring the motion speed and the motion trajectory of the target part, so as to realize the user's motion speed and virtuality. The virtual motion speed of the object, and the comparison of the user's motion trajectory with the virtual motion trajectory of the virtual object, can obtain real-time training information, and can reflect the real-time racing information in the target pairing scene.

It can be understood that, in this embodiment, the server adjusts the motion speed and the motion trajectory according to the third preset rule, and obtains the real-time training information. In addition to the content described above, in actual applications, other methods may also be used. The real-time training information can be obtained according to the motion speed and the motion trajectory of the target body part of the user, which is not limited herein.

It should be noted that, in this embodiment, the avatar corresponding to the user in the target scenario and the avatar of the avatar may be the same as the prior art, and details are not described herein again.

Steps 219 to 220 in this embodiment are the same as steps 109 to 110 in the embodiment shown in FIG. 1, and details are not described herein again.

221. The server determines the training result information according to the real-time motion data and the first preset rule.

In this embodiment, the server can send the real-time training information to the client in real time. After the training is completed, the training result information can be determined according to the real-time training information and the first preset rule.

Specifically, in practical applications, in actual applications, different sports items may have different training rules. For example, if the target is a running item, the running mileage may be used as a pairing practice rule, if the target pairing practice item is badminton. , the badminton score can be used as a pairing rule, then the user's training result under the pairing rules can be obtained from the real-time racing information, and the user's pairing result information can be determined, and the pairing result information can include but is not limited to Corresponding sports time, training level, and training scores.

For example, if the user performs a one-on-one badminton match with the real object, then in the target pairing scene corresponding to the badminton game, the user and the real object may have corresponding virtual characters A and B, respectively, through all the real-time pairs recorded. The training information can determine the pairing scores and the training time of A and B respectively, and can determine the pairing rankings of A and B based on the training scores.

It can be understood that, in this embodiment, the specific manner in which the server determines the racing result information according to the real-time racing information and the first preset rule. In addition to the content described above, in practical applications, other methods may be adopted as long as the user is determined. The final result of the training results can be, which is not limited here.

222. The server feeds back the training result information to the client.

In this embodiment, after the server determines the training result information, the training result information may be fed back to the client.

223. The client outputs the racing result information.

After the client receives the training result information sent by the server, the client can output the training result information.

Specifically, in practical applications, the client can output the training result information in various ways to increase the interest of the sports competitive application, such as displaying the training result information to the user through a more intuitive manner such as multimedia or pictures.

Further, in this embodiment, in order to improve the competitiveness of the sports competitive application, strengthen the enthusiasm of the user, and enhance the user's feelings of training, the server may also be determined according to the training result information and the second preset rule. For the training points information, for example, suppose that the current training includes the user owning three pairs of training personnel A, B, C, and the target training program is running, then in the corresponding training, the longest running mileage can be obtained 100. Integral, secondly, you can get 95 points, and you can get 80 points again. If you follow the training result information, the training person A, that is, the user's own running mileage is the second, you can determine that the user's own training points are 95, then the pair of training points information can be fed back to the client, after receiving the user's pairing point information, the client can output the pairing point information, so that the user knows the points in the training, and the client The score can be recorded, and the paired points of the target pair of training items previously participated can be accumulated, and the accumulated total points are output.

It can be understood that, in this embodiment, the output of the training integral information may be outputted after the output of the training result information, or may be outputted at the same time, which is not limited herein.

Further, in practical applications, the network operator of the server can establish a cooperative relationship with the brand corresponding to each sports item. For example, the user can obtain preferential services through the brand or the specialty store of the brand corresponding to the target and the training item. If you enjoy the member discount price to buy sports products, the higher the score, the greater the discount the user gets.

It can be understood that, in practical applications, in addition to improving the enthusiasm of the user to exercise by practicing the points, other methods may be used alone or in combination, for example, according to the ranking of the training, the lucky draw opportunity is given, which is not limited herein.

Referring to FIG. 3, another embodiment of a method for implementing a racing car in an embodiment of the present invention includes:

301. The client obtains the customized pairing group information established by the user.

In the embodiment of the present invention, different from the method shown in FIG. 2, the server establishes a target pairing group according to the user's personal attribute information. In an actual application, the user increases the difficulty of exercising and increases the challenge of training. The user can establish a custom pairing group on the client, that is, the client can obtain the customized pairing group information established by the user, and enable the user to initiate the racing request information to the client according to the customized racing group information. For example, if the user is not very good at tennis, but wants to touch some tennis knowledge during the exercise, then you can establish a target pair with the real object that also wants to play tennis. It is understandable that the custom pair The specific grouping manner of the group information can be determined by the user, and is not limited herein.

Steps 302 to 320 in this embodiment are the same as steps 205 to 223 in the embodiment shown in FIG. 2, and details are not described herein again.

On the basis of the embodiment shown in FIG. 1 , the embodiment shown in FIG. 2 and the embodiment shown in FIG. 3 respectively describe the implementation method of the training group based on two different targets, which is beneficial to the user. The choice of exercise difficulty is self-selected, which increases the user's exercise experience and enthusiasm, so that the exercise effect can be improved.

The method for implementing the exercise in the embodiment of the present invention is described above. The following describes the client and the server in the embodiment of the present invention. Referring to FIG. 4, an embodiment of the client in the embodiment of the present invention includes:

The first receiving module 401 is configured to receive the training request information of the target training item initiated by the user;

The first sending module 401 is configured to send the training request information to the server, so that the server determines, according to the training request information, whether the preset training condition is met;

The second receiving module 403 is configured to receive the training response information sent by the server when the preset training condition is met;

The opening module 404 is configured to enable the training function according to the training response information;

The first obtaining module 405 is configured to acquire real-time motion data of a target body part of the user collected by the smart wearable device, and the smart wearable device is communicatively connected with the client;

The second sending module 406 is configured to send real-time motion data to the server;

The third receiving module 407 is configured to receive real-time training information fed back by the server according to real-time motion data;

The first output module 408 is configured to output real-time training information in the target pairing scenario, so that the user adjusts the real-time motion data according to the real-time training information.

Referring to FIG. 5, another embodiment of the client in the embodiment of the present invention includes:

The third obtaining module 501 is configured to acquire personal attribute information of the user;

The third sending module 502 is configured to send the personal attribute information to the server;

The third receiving module 503 is configured to receive the training group information fed back by the server, so that the user initiates the training request information according to the training group information;

The module 504 in this embodiment is the same as the module 401 in the embodiment shown in FIG. 4, the module 505 is the same as the module 402 in the embodiment shown in FIG. 4, and the module 506 is the same as the module 403 in the embodiment shown in FIG. I will not repeat them here.

The fourth sending module 507 is configured to send the racing scene request information to the server;

The fourth receiving module 508 is configured to receive the training scenario selection information sent by the server according to the racing scene request information;

The second output module 509 is configured to output pairing scene selection information;

The fifth obtaining module 510 is configured to acquire a target pairing scenario that the user feeds back according to the training scene information.

The module 507 in this embodiment is the same as the module 404 in the embodiment shown in FIG. 4, the module 508 is the same as the module 405 in the embodiment shown in FIG. 4, and the module 509 is the same as the module 406 in the embodiment shown in FIG. The module 510 is the same as the module 407 in the embodiment shown in FIG. 4, and the module 511 is the same as the module 408 in the embodiment shown in FIG. 4, and details are not described herein again.

The fifth receiving module 512 is configured to receive the training result information fed back by the server;

The third output module 513 is configured to output training result information;

The sixth receiving module 514 is configured to receive the training point information fed back by the server;

The fourth output module 515 is configured to output the pairing integration information.

It should be noted that, in another embodiment of the client in the embodiment of the present invention, the module 501, the module 502, and the module 503 may be replaced with a fourth acquiring module, where the fourth acquiring module is configured to acquire a customized pair established by the user. The group information is practiced, so that the user initiates the training request information according to the customized group information. Since the other modules are the same, they are not described here.

Referring to FIG. 6, an embodiment of the server in the embodiment of the present invention includes:

The first receiving module 601 is configured to receive the training request information sent by the client;

The determining module 602 is configured to determine, according to the training request information, whether the preset training condition is met;

The first sending module 603 is configured to send the training response information to the client when the preset training condition is met;

The second receiving module 604 is configured to receive real-time motion data sent by the client;

The calculating module 605 is configured to calculate real-time training information according to the real-time motion data;

The first feedback module 606 is configured to feed back real-time training information to the client.

Referring to FIG. 7, another embodiment of the server in the embodiment of the present invention includes:

The third receiving module 701 is configured to receive personal attribute information sent by the client.

The establishing module 702 is configured to establish a target pairing group according to the personal attribute information;

The second feedback module 703 is configured to feed back the pairing group information corresponding to the target pairing group to the client.

The module 704 in this embodiment is the same as the module 601 in the embodiment shown in FIG. 6. The module 705 is the same as the module 602 in the embodiment shown in FIG. 6. The module 706 is the same as the module 603 in the embodiment shown in FIG. I will not repeat them here.

The fourth receiving module 707 is configured to receive the training scenario request information sent by the client.

The second sending module 708 is configured to send the training scenario selection information to the client according to the training scenario request information.

The module 709 in this embodiment is the same as the module 604 in the embodiment shown in FIG. 6. The module 710 is the same as the module 605 in the embodiment shown in FIG. 6. The module 711 is the same as the module 606 in the embodiment shown in FIG. I will not repeat them here.

The first determining module 712 is configured to determine the training result information according to the real-time motion data and the first preset rule;

The third feedback module 713 is configured to feed back the training result information to the client;

The second determining module 714 is configured to determine the training point information according to the training result information and the second preset rule;

The fourth feedback module 715 is configured to feed back the training point information to the client.

In this embodiment, the determining module 705 may further include:

The first determining unit 7051 is configured to determine whether the training request information includes a real object restriction condition;

The broadcasting unit 7052 is configured to, when the real object restriction condition is included, broadcast the training request information in the target pairing group;

The second determining unit 7053 is configured to determine whether the number of pairs of responses is greater than a preset threshold.

In this embodiment, the calculating module 710 may further include:

a determining unit 7101, configured to determine a motion speed and a motion trajectory of the target body part by parsing the real-time motion data;

The quantization unit 7102 is configured to quantize the motion speed and the motion trajectory of the target body part according to the third preset rule to obtain real-time training information.

FIG. 8 is a schematic structural diagram of still another embodiment of a client in an embodiment of the present invention.

FIG. 8 is a schematic structural diagram of another embodiment of a client in an embodiment of the present invention. In the embodiment of the present invention, the client 8 includes a processor 801, a memory 802, and a transceiver 803. The transceiver 803 is configured to transmit and receive data with and from an external device. The number of processors 801 in the client 8 may be one or more. In some embodiments of the invention, the processor 801, the memory 802, and the transceiver 803 may be connected by a bus system or other means. The client 8 can be used to perform the method illustrated in Figures 1-3.

Wherein, the program code is stored in the memory 802, and the processor 801 can call the program code stored in the memory 802 through the bus system to perform related functions. For example, the respective modules described in FIG. 4 and FIG. 5 (for example, the first obtaining module 401, the first sending module 402, the first receiving module 403, the first opening module 404, the The first output module 408, etc.) is program code stored in the memory 802 and executed by the processor 801 to implement the functions of the various units to perform a method of exercise implementation.

Specifically, the processor 801: acquires the training request information of the target training item initiated by the user, and sends the training request information to the server, so that the server determines the information according to the training request information. Whether the preset training condition is met; if the preset training condition is met, receiving the training response information sent by the server; and performing the training function according to the training response information, and acquiring the smart wearable device Real-time motion data of the target body part of the user, the smart wearable device is in communication with the client; transmitting the real-time motion data to the server; and receiving the feedback from the server according to the real-time motion data Real-time pairing information, and outputting the real-time training information in the target-pairing scenario, so that the user adjusts the real-time motion data according to the real-time training information.

In a further embodiment, before acquiring the user-initiated training request information, the processor 801:

Obtaining the personal attribute information of the user, and sending the personal attribute information to the server; receiving the training group information fed back by the server, so that the user initiates according to the pairing group information The pairing request information;

or,

The processor 801 acquires the customized pairing group information established by the user, so that the user initiates the pairing request information according to the customized pairing group information.

In a further embodiment, before the real-time motion data is sent to the server, the processor 801: the client sends the scenario request information to the server;

The client receives the pairing scenario selection information sent by the server according to the pairing scenario request information, and outputs the pairing scenario selection information;

The client acquires the target pairing scenario that the user feeds back according to the pairing scenario information.

In a further embodiment, after the client receives the real-time training information fed back by the server according to the real-time motion data, and outputs the real-time training information in the target pairing scenario, the processor 801:

Receiving feedback result information fed back by the server;

Outputting the training result information; and/or,

Receiving the training point information fed back by the server;

The pairing point information is output.

FIG. 9 is a schematic structural diagram of still another embodiment of a server in the embodiment of the present invention.

FIG. 9 is a schematic structural diagram of another embodiment of a server in an embodiment of the present invention. In the embodiment of the present invention, the server 9 includes a processor 901, a memory 902, and a transceiver 903. The transceiver 903 is configured to transmit and receive data with and from an external device. The number of processors 901 in the server 9 may be one or more. In some embodiments of the invention, the processor 901, the memory 902, and the transceiver 903 may be connected by a bus system or other means. The server 9 can be used to perform the method shown in Figures 1 to 3.

The program code is stored in the memory 902, and the processor 901 can call the program code stored in the memory 902 to perform related functions through a bus system. For example, the various modules described in FIG. 6 and FIG. 7 (eg, the first receiving module 601, the determining module 602, the first sending module 603, the second receiving module 604, and the computing module) 605. The second feedback module 606, etc.) is program code stored in the memory 902 and executed by the processor 901 to implement the functions of the various units to perform a method of exercise implementation.

Specifically, the processor 901: receiving the training request information sent by the client;

Determining, according to the training request information, whether the preset training condition is satisfied;

If the preset pairing condition is met, the processor 901 sends the training response information to the client;

Receiving real-time motion data sent by the client;

Calculating real-time training information according to the real-time motion data, and feeding back the real-time training information to the client.

In a further embodiment, before receiving the training request information sent by the client, the processor 901: receiving personal attribute information sent by the client;

Establishing a target pairing group according to the personal attribute information, and feeding back the pairing group information corresponding to the target pairing group to the client.

In a further embodiment, the determining, by the processor 901, whether the preset training conditions are met according to the training request information includes:

Determining whether the training request information includes a real object restriction condition;

If the real object restriction condition is included, the training request information is broadcasted in the target training group, and it is determined whether the number of responding pairs is greater than a preset threshold.

In a further embodiment, before the processor 901 receives the real-time motion data sent by the client, the processor 901:

Receiving the training scenario request information sent by the client;

Sending the scenario selection information to the client according to the pairing scenario request information.

In a further embodiment, after the processor 901 calculates the real-time training information according to the real-time motion data, and feeds back the real-time training information to the client, the processor 901:

Determining the training result information according to the real-time motion data and the first preset rule, and feeding back the training result information to the client; and/or,

Determining the training point information according to the pairing result information and the second preset rule, and feeding back the pairing point information to the client.

In a further embodiment, the calculating, by the processor 901, the real-time training information according to the real-time motion data includes:

Determining a motion speed and a motion trajectory of the target body part by parsing the real-time motion data;

The moving speed of the target body part and the motion trajectory are quantized according to a third preset rule, and real-time training information is obtained.

A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium. A number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to be limiting; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that The technical solutions described in the embodiments are modified, or the equivalents of the technical features are replaced by the equivalents of the technical solutions of the embodiments of the present invention.

Claims (20)

1. An exercise implementation method, comprising:

   The client obtains the training request information of the target-to-training project initiated by the user;

   Sending, by the client, the training request information to the server, so that the server determines, according to the training request information, whether the preset training condition is met;

   If the preset training condition is met, the client receives the training response information sent by the server;

   The client starts the training function according to the training response information, and acquires real-time motion data of the target body part of the user collected by the smart wearable device, where the smart wearable device is communicatively connected with the client;

   The client sends the real-time motion data to the server;

   The client receives the real-time training information fed back by the server according to the real-time motion data, and outputs the real-time training information in the target training scenario, so that the user adjusts according to the real-time training information. The real-time motion data.
2. The method for implementing the exercise according to claim 1, wherein before the obtaining the user-initiated training request information, the method further comprises:

   The client obtains personal attribute information of the user, and sends the personal attribute information to the server;

   The client receives the pairing group information fed back by the server, so that the user initiates the pairing request information according to the pairing group information;

   or,

   The client obtains the customized pairing group information established by the user, so that the user initiates the pairing request information according to the customized pairing group information.
3. The exercise implementation method according to claim 1 or 2, wherein before the client sends the real-time motion data to the server, the method further includes:

   The client sends the training scenario request information to the server;

   The client receives the pairing scenario selection information sent by the server according to the pairing scenario request information, and outputs the pairing scenario selection information;

   The client acquires the target pairing scenario that the user feeds back according to the pairing scenario information.
4. The exercise implementation method according to claim 1 or 2, wherein the client receives the real-time training information fed back by the server according to the real-time motion data, and outputs the After the real-time pairing information, the method further includes:

   The client receives the training result information fed back by the server;

   The client outputs the pairing result information; and/or,

   The client receives the training point information fed back by the server;

   The client outputs the pairing point information.
5. An exercise implementation method, comprising:

   The server receives the training request information sent by the client;

   Determining, by the server, whether the preset training condition is met according to the training request information;

   If the preset pairing condition is met, the server sends the training response information to the client;

   The server receives real-time motion data sent by the client;

   The server calculates real-time training information according to the real-time motion data, and feeds the real-time training information to the client.
6. The method for implementing the exercise according to claim 5, wherein before the server receives the training request information sent by the client, the method further includes:

   The server receives personal attribute information sent by the client;

   And the server establishes a target pairing group according to the personal attribute information, and feeds back the pairing group information corresponding to the target pairing group to the client.
7. The exercise implementation method according to claim 6, wherein the determining, by the server, whether the preset training conditions are met according to the training request information comprises:

   Determining, by the server, whether the training request information includes a real object restriction condition;

   If the real object restriction condition is included, the server broadcasts the training request information in the target pairing group, and determines whether the number of responding pairs is greater than a preset threshold.
8. The exercise implementation method according to any one of claims 5 to 7, wherein before the server receives the real-time motion data sent by the client, the method further includes:

   Receiving, by the server, the training scenario request information sent by the client;

   The server sends the training scenario selection information to the client according to the pairing scenario request information.
9. The exercise implementation method according to any one of claims 5 to 7, wherein the server calculates real-time training information according to the real-time motion data, and feeds back the real-time training information to the After the client, the method further includes:

   The server determines the training result information according to the real-time motion data and the first preset rule, and feeds back the training result information to the client; and/or,

   The server determines the training point information according to the training result information and the second preset rule, and feeds back the training point information to the client.
10. The exercise implementation method according to any one of claims 5 to 7, wherein the server calculates the real-time training information according to the real-time motion data, including:

    The server determines the motion speed and the motion trajectory of the target body part by parsing the real-time motion data;

    The server quantizes the moving speed of the target body part and the motion trajectory according to a third preset rule, and obtains real-time training information.
11. A client, comprising:

    The first obtaining module is configured to receive the training request information of the target-to-training project initiated by the user;

    The first sending module is configured to send the training request information to the server, so that the server determines, according to the training request information, whether the preset training condition is met;

    The first receiving module is configured to receive the training response information sent by the server when the preset training condition is met;

    Opening a module, configured to enable a training function according to the training response information;

    a second acquiring module, configured to acquire real-time motion data of a target body part of the user collected by the smart wearable device, where the smart wearable device is communicatively connected to the client;

    a second sending module, configured to send the real-time motion data to the server;

    a second receiving module, configured to receive real-time training information fed back by the server according to the real-time motion data;

    The first output module is configured to output the real-time training information in the target pairing scenario, so that the user adjusts the real-time motion data according to the real-time training information.
12. The client according to claim 11, wherein the client further comprises:

    a third obtaining module, configured to obtain personal attribute information of the user;

    a third sending module, configured to send the personal attribute information to the server;

    The third receiving module is configured to receive the training group information that is fed back by the server, so that the user initiates the training request information according to the pairing group information;

    or,

    The fourth obtaining module is configured to obtain the customized pairing group information that is created by the user, so that the user initiates the pairing request information according to the customized pairing group information.
13. The client according to claim 11 or 12, wherein the client further comprises:

    a fourth sending module, configured to send the racing scene request information to the server;

    a fourth receiving module, configured to receive the training scenario selection information sent by the server according to the racing scene request information;

    a second output module, configured to output the pairing scene selection information;

    The fifth obtaining module is configured to acquire the target pairing scenario that is fed back by the user according to the pairing scenario information.
14. The client according to claim 11 or 12, wherein the client further comprises:

    The fifth receiving module is configured to receive the training result information fed back by the server;

    a third output module, configured to output the pairing result information; and/or,

    a sixth receiving module, configured to receive the training point information fed back by the server;

    The fourth output module is configured to output the pairing integration information.
15. A server, characterized in that it comprises:

    The first receiving module is configured to receive the training request information sent by the client;

    The determining module is configured to determine, according to the training request information, whether the preset training condition is met;

    The first sending module is configured to send the training response information to the client when the preset pairing condition is met;

    a second receiving module, configured to receive real-time motion data sent by the client;

    a calculation module, configured to calculate real-time training information according to the real-time motion data;

    The first feedback module is configured to feed back the real-time training information to the client.
16. The server according to claim 15, wherein the server further comprises:

    a third receiving module, configured to receive personal attribute information sent by the client;

    Establishing a module, configured to establish a target pairing group according to the personal attribute information;

    The second feedback module is configured to feed back the pairing group information corresponding to the target pairing group to the client.
17. The server according to claim 16, wherein the determining module comprises:

    a first determining unit, configured to determine whether the training request information includes a real object restriction condition;

    a broadcast unit, configured to broadcast the training request information in the target pairing group when the real object restriction condition is included;

    The second determining unit is configured to determine whether the number of training participants is greater than a preset threshold.
18. The server according to any one of claims 15 to 17, wherein the server further comprises:

    The fourth receiving module is configured to receive the training scenario request information sent by the client;

    The second sending module is configured to send the training scenario selection information to the client according to the pairing scenario request information.
19. The server according to any one of claims 15 to 17, wherein the server further comprises:

    The first determining module is configured to determine the training result information according to the real-time motion data and the first preset rule;

    a third feedback module, configured to feed back the training result information to the client; and/or,

    The second determining module is configured to determine the training point information according to the pairing result information and the second preset rule;

    The fourth feedback module is configured to feed back the pairing point information to the client.
20. The server according to any one of claims 15 to 17, wherein the calculation module comprises:

    a determining unit configured to determine a motion speed and a motion trajectory of the target body part by parsing the real-time motion data;

    And a quantization unit configured to quantize the motion speed of the target body part and the motion trajectory according to a third preset rule to obtain real-time training information.

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