CN116269347A - Method, device, terminal and storage medium for determining type of back swing - Google Patents

Abstract

The application discloses a method, a device, a terminal and a storage medium for determining a back swing type, wherein the method comprises the following steps: acquiring movement data of a target object in a running process, and extracting an angle characteristic value and a change trend characteristic value in the movement data; determining a characteristic value frame number of a backswing point based on the angle characteristic value and the change trend characteristic value; and determining the type of the backward swing according to the characteristic value frame number of the backward swing point. According to the invention, the angle characteristic value and the change trend characteristic value of the target object in the running process are extracted, and then the characteristic value frame number of the backswing point is further determined through the angle characteristic value and the change trend characteristic value, so that the backswing type is determined based on the characteristic value frame number of the backswing point, the problem of low efficiency in an image comparison mode is avoided, and the accuracy of the backswing type judgment is improved.

Description

Method, device, terminal and storage medium for determining type of back swing action

technical field

The present application relates to the technical field of data processing, and in particular, to a method, device, terminal and storage medium for determining the type of back swing.

Background technique

Most of the technologies currently used for human motion measurement and analysis are in the fields of time measurement and distance measurement, that is, to measure the results, but cannot obtain the process data of human motion, so it is impossible to analyze the causes of the motion results, and then It is impossible to give specific guidance and suggestions for improvement. Some solutions for the measurement of human motion process use machine vision technology or multi-module acquisition technology to analyze human body movements from images. Machine vision has high requirements on environmental illumination, light and shadow conditions, environmental background color, and clothing color of the person under test. Multi-module acquisition technology requires acquisition modules to be installed on different parts of the human body at the same time.

For running, especially the determination of the type of back swing, the prior art uses a combination of a treadmill and a camera system, that is, the subject is allowed to exercise on the treadmill, and a video is taken to analyze the running movement. Video analysis generally uses a comparative analysis method to compare the running action of the subject with the standard action image, so as to give a similarity to measure the gap between the actual action and the standard action, and then determine whether the action is a backswing action and how to compare it. Types of back swing movements are classified.

However, when using the above method, the personal experience of running on a treadmill is different from that of running on the actual road, so the action itself may be different, so the collected image itself cannot accurately reflect the actual running action of the subject; in addition, video analysis The calculation amount of the method is large, and the image of the running action is difficult to reflect the actual output and force, and there is no so-called standard action in the actual situation. Different groups of people have different exercise purposes (for example, ordinary people are for exercise, athletes are for For the sake of performance), it is difficult to give a standard object, and this comparison result can only be used as an evaluation of running sports, not an analysis. Therefore, judging the type of the back swing action by the above method will increase the accuracy of the judgment result.

Contents of the invention

The main purpose of the present application is to provide a method, device, terminal and storage medium for determining the type of back swing action, so as to solve the problem of low accuracy existing in related technologies.

In order to achieve the above purpose, in the first aspect, the present application provides a method for determining the type of back swing, including:

Acquiring motion data of the target object during running, and extracting angle feature values and change trend feature values in the motion data;

Based on the angle eigenvalue and the trend eigenvalue, determine the eigenvalue frame number of the rear swing point;

The type of the back swing action is determined according to the frame number of the feature value of the back swing point.

In a possible implementation manner, the determining the frame number of the feature value of the rear swing point based on the angle feature value and the change trend feature value includes:

If the angle eigenvalue is not equal to the change trend eigenvalue, the last point of the trend plateau is used as the eigenvalue frame number of the back swing point.

In a possible implementation manner, the determining the type of the back swing action according to the frame number of the feature value of the back swing point includes:

Acquiring the back swing initiative eigenvalue corresponding to the eigenvalue frame number of the back swing point;

The type of the back swing action is determined based on the characteristic value of the back swing initiative, the characteristic judgment value of the x-axis acceleration, and the judgment value of the characteristic characteristic of the z-axis acceleration.

In a possible implementation manner, the determining the type of the back swing action based on the characteristic value of the back swing initiative, the characteristic judgment value of the x-axis acceleration and the judgment value of the characteristic characteristic of the z-axis acceleration includes:

determining an extremum of the z-axis acceleration characteristic judgment value based on the x-axis acceleration characteristic judgment value and the z-axis acceleration characteristic judgment value;

The type of the back swing action is determined based on the extreme value of the z-axis acceleration feature judgment value and the back swing initiative feature value.

In a possible implementation manner, the determining the extreme value of the z-axis acceleration characteristic judgment value based on the x-axis acceleration characteristic judgment value and the z-axis acceleration characteristic judgment value includes:

If the x-axis acceleration feature judgment value is greater than a first preset threshold, read the z-axis acceleration feature judgment value;

If the number of the z-axis acceleration feature judgment values is greater than a second preset threshold, an extremum of the z-axis acceleration feature judgment values is acquired.

In a possible implementation manner, the determination of the back swing action type based on the extreme value of the z-axis acceleration feature judgment value and the back swing initiative feature value includes:

If the extreme value of the characteristic judgment value of the z-axis acceleration is greater than the active characteristic value of the back swing, the type of the back swing action is an active back swing;

If the extreme value of the z-axis acceleration feature judgment value is less than or equal to the back swing active feature value, the back swing action type is passive back swing.

In a possible implementation manner, the determining the type of the back swing action according to the frame number of the feature value of the back swing point includes:

If the angle change eigenvalue within the preset range of the eigenvalue frame number of the back swing point is greater than the swing eigenvalue, the type of back swing action is folding back swing;

If the characteristic value of the angle change within the preset range of the eigenvalue frame number of the back swing point is less than or equal to the swing eigenvalue, the type of the back swing action is a non-folding back swing.

In the second aspect, the embodiment of the present invention provides a device for determining the type of back swing, including:

A feature value extraction module is used to obtain the motion data of the target object during running, and extract the angle feature value and the change trend feature value in the motion data;

A frame number determination module, configured to determine the frame number of the eigenvalue of the rear swing point based on the angle eigenvalue and the trend eigenvalue;

The back swing action type determination module is configured to determine the back swing action type according to the frame number of the characteristic value of the back swing point.

In the third aspect, an embodiment of the present invention provides a terminal, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, any of the above-mentioned back swing types can be realized. steps of the determination method.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the steps of any one of the above methods for determining the type of back swing are implemented.

An embodiment of the present invention provides a method, device, terminal, and storage medium for determining the type of back swing action, including: acquiring motion data of a target object during running, and extracting angle feature values and change trends in the motion data Then, based on the angle eigenvalue and the trend eigenvalue, determine the eigenvalue frame number of the back swing point, and then determine the back swing action type according to the eigenvalue frame number of the back swing point. The present invention extracts the angle feature value and change trend feature value of the target object in the running process, and then further determines the feature value frame number of the back swing point through the angle feature value and the change trend feature value, and then based on the feature value of the back swing point The frame number determines the type of the back swing action, which not only avoids the problem of low efficiency through image comparison, but also improves the accuracy of determining the type of the back swing action.

Description of drawings

The accompanying drawings, which constitute a part of this application, are included to provide a further understanding of the application and make other features, objects and advantages of the application apparent. The drawings and descriptions of the schematic embodiments of the application are used to explain the application, and do not constitute an improper limitation to the application. In the attached picture:

Fig. 1 is a schematic diagram of the action of the midway running stage provided by the embodiment of the present invention;

Fig. 2 is an implementation flow chart of a method for determining the type of back swing action provided by an embodiment of the present invention;

Fig. 3 is a schematic structural diagram of a device for determining the type of back swing provided by an embodiment of the present invention;

Fig. 4 is a schematic diagram of a terminal provided by an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects and not necessarily Describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein.

It should be understood that in various embodiments of the present invention, the sequence numbers of the processes do not mean the order of execution, and the execution order of the processes should be determined by their functions and internal logic, rather than by the implementation order of the embodiments of the present invention. The implementation process constitutes no limitation.

It should be understood that in the present invention, "comprising" and "having" and any variations thereof are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to Those steps or elements are not explicitly listed, but may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

It should be understood that in the present invention, "plurality" means two or more. "And/or" is just an association relationship describing associated objects, which means that there can be three kinds of relationships, for example, and/or B, which can mean: A exists alone, A and B exist at the same time, and B exists alone. . The character "/" generally indicates that the contextual objects are an "or" relationship. "Includes A, B and C", "Includes A, B, C" means that A, B, and C are all included, "includes A, B, or C" means includes one of A, B, and C, "Containing A, B and/or C" means containing any 1 or any 2 or 3 of A, B and C.

It should be understood that in the present invention, "B corresponding to A", "B corresponding to A", "A corresponding to B" or "B corresponding to A" means that B is associated with A, and according to A It is possible to determine B. Determining B from A does not mean determining B from A alone, B can also be determined from A and/or other information. The matching between A and B means that the similarity between A and B is greater than or equal to a preset threshold.

Depending on the context, "if" as used herein may be interpreted as "at" or "when" or "in response to determining" or "in response to detecting".

The technical solution of the present invention will be described in detail below with specific embodiments. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

In order to make the purpose, technical solution and advantages of the present invention clearer, specific embodiments will be described below in conjunction with the accompanying drawings.

When a subject is running, whether it is in contact with the ground or completing actions in the air, a lot of sports technology, human mechanics, and physical mechanics are involved. From the time when the runner touches the ground, it can analyze and study its motion state from the acceleration and angle of the three axes of X (the front and back of the person's running direction), Y (the left and right of the person), and Z (the up and down of the person). It includes the acceleration in the front-back direction, the acceleration in the left-right direction, and the acceleration in the up-down direction. It can analyze the braking force, stability, body performance traits, body change path, etc. when it lands, and draw further conclusions based on actual results and trend analysis.

The scheme of the present invention adopts an acceleration sensor to analyze the running action, and the sensor needs to collect the above-mentioned acceleration and angle. The subject only needs to put the sensor on the ankle of the wearer, so that all the acceleration and angle data from the start to the complete stop can be collected, and no other measuring equipment is required.

This plan breaks down the running movement into 3 stages and 6 actions. The 3 stages specifically refer to the starting stage, the running stage on the way, and the braking stage (the stage of decelerating to a complete stop); the 6 actions in the running stage are Refers to: touching the ground (landing), cushioning, kicking back, swinging back, swinging forward, and pressing down. As shown in Figure 1, these 6 actions form a complete step. Running is to repeat these 6 actions continuously.

This program needs to identify the above three stages based on the collected sensor data, and then further identify the six actions of each step during the running stage, and then further analyze the type of each action.

In one embodiment, as shown in Figure 2, a method for determining the type of back swing action is provided, comprising the following steps:

Step S201: Obtain the motion data of the target object during running, and extract the angle feature value and change trend feature value in the motion data.

Wherein, the target object can be any living body that can realize the above-mentioned running movement, wherein the running movement can be decomposed into 3 stages and 6 actions, and the 3 stages specifically refer to the starting stage, the running stage on the way, and the braking stage (deceleration to The stage of complete stop); the 6 actions of the mid-running stage refer to: touch the ground (landing), buffer, push back, swing back, swing forward, and press down.

Sports data refers to the data collected by the sensor set on the target object during the running process of the target object, such as the data of the starting stage, the data of the running stage in the middle, the data of the braking stage (deceleration to a complete stop stage) or the data of the halfway Touchdown (landing) data, cushioning data, back kick data, back swing data, forward swing data, push down data, etc. in the six actions of the running phase.

After the motion data is acquired by the sensor, the motion data will be analyzed to extract the data corresponding to the back swing motion, such as the speed and acceleration of the back swing motion. In the process of judging the type of the back swing action, the present application only extracts the angle feature value and the change trend feature value to further judge the back swing action type.

Step S202: Based on the angle feature value and the change trend feature value, determine the feature value frame number of the back swing point.

For the determination of the eigenvalue frame number of the back swing point based on the angle eigenvalue and the change trend eigenvalue, it is necessary to judge the angle eigenvalue and the change trend eigenvalue, specifically, if the angle characteristic The value is not equal to the eigenvalue of the change trend, and the last point of the trend plateau is used as the eigenvalue frame number of the back swing point.

Step S203: Determine the type of the back swing action according to the frame number of the feature value of the back swing point.

For the determination of the type of back swing action, the following two methods are mainly adopted:

Case 1: It is necessary to first obtain the back swing initiative feature value corresponding to the feature value frame number of the back swing point, and then judge based on the back swing initiative feature value, x-axis acceleration feature judgment value, and z-axis acceleration feature value that determines the type of backswing action.

Exemplarily, the determination of the back swing action type based on the characteristic value of the back swing initiative, the characteristic judgment value of the x-axis acceleration and the characteristic judgment value of the z-axis acceleration needs to be based on the characteristic judgment value of the x-axis acceleration and the characteristic judgment value of the z-axis acceleration. The z-axis acceleration characteristic judgment value, determine the extremum of the z-axis acceleration characteristic judgment value, and then determine the back swing action based on the extremum of the z-axis acceleration characteristic judgment value and the back-swing initiative characteristic value type.

For determining the extreme value of the z-axis acceleration characteristic judgment value, it needs to be judged by a preset threshold. Specifically, if the x-axis acceleration characteristic judgment value is greater than the first preset threshold, read the z-axis acceleration characteristic judgment value; if the number of the z-axis acceleration characteristic judgment values is greater than a second preset threshold, acquire the extreme value of the z-axis acceleration characteristic judgment value. After obtaining the extreme value of the characteristic judgment value of the z-axis acceleration, the extreme value based on the characteristic judgment value of the z-axis acceleration and the characteristic value of the back swing initiative are required to determine the type of the back swing action, that is, if the The extreme value of the z-axis acceleration characteristic judgment value is greater than the characteristic value of the back swing initiative, and the type of the back swing action is active back swing; if the extreme value of the z-axis acceleration characteristic judgment value is less than or equal to the back swing active Characteristic value, the type of back swing action is passive back swing.

The second case: it is only necessary to compare the angle change eigenvalue within the preset range of the frame number of the eigenvalue of the back swing point with the swing eigenvalue, so as to determine the type of the back swing action. Specifically, if the angle change eigenvalue within the preset range of the eigenvalue frame number of the back swing point is greater than the swing eigenvalue, the type of the back swing action is folding back swing; if the eigenvalue frame of the back swing point The characteristic value of the angle change within the preset range where the sign is located is less than or equal to the characteristic value of the swing, and the type of the back swing action is a non-folding back swing.

An embodiment of the present invention provides a method for determining the type of back swing action, comprising: acquiring motion data of a target object during running, and extracting angle feature values and change trend feature values in the motion data, and then based on the The angle eigenvalue and the change trend eigenvalue determine the eigenvalue frame number of the back swing point, and then determine the back swing action type according to the eigenvalue frame number of the back swing point. The present invention extracts the angle feature value and change trend feature value of the target object in the running process, and then further determines the feature value frame number of the back swing point through the angle feature value and the change trend feature value, and then based on the feature value of the back swing point The frame number determines the type of the back swing action, which not only avoids the problem of low efficiency through image comparison, but also improves the accuracy of determining the type of the back swing action.

It should be understood that the sequence numbers of the steps in the above embodiments do not mean the order of execution, and the execution order of each process should be determined by its functions and internal logic, and should not constitute any limitation to the implementation process of the embodiment of the present invention.

The following are device embodiments of the present invention. For details that are not exhaustively described therein, reference may be made to the corresponding method embodiments above.

Figure 3 shows a schematic structural diagram of a device for determining the type of back swing action provided by an embodiment of the present invention. For ease of illustration, only the parts related to the embodiment of the present invention are shown, a device for determining the type of back swing action Including feature value extraction module 31, frame number determination module 32 and back swing action type determination module 33, specifically as follows:

The feature value extraction module 31 is used to obtain the motion data of the target object during running, and extract the angle feature value and the change trend feature value in the motion data;

Frame number determination module 32, for determining the eigenvalue frame number of the rear swing point based on the angle eigenvalue and the trend eigenvalue;

The back swing action type determination module 33 is configured to determine the back swing action type according to the frame number of the characteristic value of the back swing point.

In a possible implementation, the frame number determination module 32 is further configured to use the last point of the trend plateau as the frame number of the feature value of the back swing point if the angle feature value is not equal to the change trend feature value.

In a possible implementation, the back swing action type determination module 33 is also used to obtain the back swing initiative feature value corresponding to the feature value frame number of the back swing point; based on the back swing initiative feature value, x The axial acceleration characteristic judgment value and the z-axis acceleration characteristic judgment value determine the type of the rear swing action.

In a possible implementation manner, the back swing action type determination module 33 is further configured to determine the extreme value of the z-axis acceleration characteristic judgment value based on the x-axis acceleration characteristic judgment value and the z-axis acceleration characteristic judgment value ; Determine the type of the back swing action based on the extreme value of the z-axis acceleration feature judgment value and the back swing initiative feature value.

In a possible implementation manner, the back swing action type determination module 33 is further configured to read the z-axis acceleration characteristic judgment value if the x-axis acceleration characteristic judgment value is greater than a first preset threshold; The number of the characteristic judgment values of the axis acceleration is greater than the second preset threshold, and the extreme value of the characteristic judgment values of the z-axis acceleration is acquired.

In a possible implementation manner, the back swing action type determination module 33 is further configured to: if the extreme value of the z-axis acceleration feature judgment value is greater than the back swing active feature value, the back swing action type is active back swing action type. swing; if the extreme value of the z-axis acceleration characteristic judgment value is less than or equal to the active characteristic value of the back swing, the type of the back swing action is a passive back swing.

In a possible implementation, the back swing action type determination module 33 is further configured to: if the angle change feature value within the preset range of the frame number of the feature value of the back swing point is greater than the swing feature value, the back swing action The type is folded back swing; if the characteristic value of angle change within the preset range of the frame number of the feature value of the back swing point is less than or equal to the swing feature value, the type of the back swing action is non-folded back swing.

Fig. 4 is a schematic diagram of a terminal provided by an embodiment of the present invention. As shown in FIG. 4 , the terminal 4 of this embodiment includes: a processor 41 , a memory 42 and a computer program 43 stored in the memory 42 and operable on the processor 41 . When the processor 41 executes the computer program 43 , the steps in the embodiments of the methods for determining the types of back swing movements described above are implemented, such as steps 101 to 103 shown in FIG. 1 . Alternatively, when the processor 41 executes the computer program 43, it realizes the functions of the modules/units in the above embodiments of the device for determining the type of back swing, such as the functions of the modules/units 31 to 33 shown in FIG. 3 .

The present invention also provides a readable storage medium, wherein a computer program is stored in the readable storage medium, and when the computer program is executed by a processor, the computer program is used to implement the method for determining the type of back swing provided by the above-mentioned various embodiments.

Wherein, the readable storage medium may be a computer storage medium, or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media can be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium may be located in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC). Additionally, the ASIC may be located in the user equipment. Of course, the processor and the readable storage medium can also exist in the communication device as discrete components. The readable storage medium may be read only memory (ROM), random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage devices, among others.

The present invention also provides a program product, which includes execution instructions, and the execution instructions are stored in a readable storage medium. At least one processor of the device may read the execution instruction from the readable storage medium, and the at least one processor executes the execution instruction so that the device implements the method for determining the type of back swing action provided in the above-mentioned various implementations.

In the embodiment of the above-mentioned device, it should be understood that the processor may be a central processing unit (Central Processing Unit, CPU), and may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC) and so on. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like. The steps of the method disclosed in conjunction with the present invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor.

The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still be described in the foregoing embodiments Modifications to the technical solutions recorded, or equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present invention, and should be included in the scope of the present invention. within the scope of protection.

Claims (10)

1. A method for determining the type of back swing, characterized in that it comprises: Acquiring motion data of the target object during running, and extracting angle feature values and change trend feature values in the motion data; Based on the angle eigenvalue and the trend eigenvalue, determine the eigenvalue frame number of the rear swing point; The type of the back swing action is determined according to the frame number of the feature value of the back swing point. 2. the determination method of back swing action type as claimed in claim 1, is characterized in that, described based on described angle characteristic value and described trend characteristic value, determine the characteristic value frame number of rear swing point, comprising: If the angle eigenvalue is not equal to the change trend eigenvalue, the last point of the trend plateau is used as the eigenvalue frame number of the back swing point. 3. The method for determining the type of back swing action according to claim 1, wherein said according to the eigenvalue frame number of said back swing point, determining said back swing action type comprises: Acquiring the back swing initiative eigenvalue corresponding to the eigenvalue frame number of the back swing point; The type of the back swing action is determined based on the characteristic value of the back swing initiative, the characteristic judgment value of the x-axis acceleration, and the judgment value of the characteristic characteristic of the z-axis acceleration. 4. The method for determining the type of rear swing action as claimed in claim 3, wherein, based on the characteristic value of the rear swing activity, the x-axis acceleration characteristic judgment value and the z-axis acceleration characteristic judgment value, determining the rear Types of swings, including: determining an extremum of the z-axis acceleration characteristic judgment value based on the x-axis acceleration characteristic judgment value and the z-axis acceleration characteristic judgment value; The type of the back swing action is determined based on the extreme value of the z-axis acceleration feature judgment value and the back swing initiative feature value. 5. The method for determining the type of rear swing action as claimed in claim 4, wherein the determination of the z-axis acceleration characteristic judgment value is based on the x-axis acceleration characteristic judgment value and the z-axis acceleration characteristic judgment value extreme values, including: If the x-axis acceleration feature judgment value is greater than a first preset threshold, read the z-axis acceleration feature judgment value; If the number of the z-axis acceleration feature judgment values is greater than a second preset threshold, an extremum of the z-axis acceleration feature judgment values is acquired. 6. The method for determining the type of back swing action as claimed in claim 5, wherein the said back swing action is determined based on the extremum of said z-axis acceleration characteristic judgment value and said back swing initiative feature value types, including: If the extreme value of the characteristic judgment value of the z-axis acceleration is greater than the active characteristic value of the back swing, the type of the back swing action is an active back swing; If the extreme value of the z-axis acceleration feature judgment value is less than or equal to the back swing active feature value, the back swing action type is passive back swing. 7. The method for determining the type of back swing action according to claim 1, wherein said according to the eigenvalue frame number of said back swing point, determining said back swing action type comprises: If the angle change eigenvalue within the preset range of the eigenvalue frame number of the back swing point is greater than the swing eigenvalue, the type of back swing action is folding back swing; If the characteristic value of the angle change within the preset range of the eigenvalue frame number of the back swing point is less than or equal to the swing eigenvalue, the type of the back swing action is a non-folding back swing. 8. A device for determining the type of back swing, characterized in that it comprises: A feature value extraction module is used to obtain the motion data of the target object during running, and extract the angle feature value and the change trend feature value in the motion data; A frame number determination module, configured to determine the frame number of the eigenvalue of the rear swing point based on the angle eigenvalue and the trend eigenvalue; The back swing action type determination module is configured to determine the back swing action type according to the frame number of the characteristic value of the back swing point. 9. A terminal, comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, characterized in that, when the processor executes the computer program, the computer program according to claim 1 is realized. The steps of the method for determining the type of back swing action described in any one of to 7. 10. A computer-readable storage medium, the computer-readable storage medium stores a computer program, characterized in that, when the computer program is executed by a processor, any one of claims 1 to 7 is implemented. Steps in the method for determining the type of back swing.

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