Physical exercise quality evaluation method, device and equipment and storage medium

A sports and quality technology, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problem of incomplete video action sampling to be evaluated, and achieve the effect of enriching semantic information, improving accuracy, and improving performance

Pending Publication Date: 2021-04-30
HUAQIAO UNIVERSITY
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The present invention provides a method, device, equipment, and storage medium for evaluating the quality of sports, so as

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  • Physical exercise quality evaluation method, device and equipment and storage medium
  • Physical exercise quality evaluation method, device and equipment and storage medium
  • Physical exercise quality evaluation method, device and equipment and storage medium

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Experimental program
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Embodiment 1

[0080] see Figure 1 to Figure 5 As shown, the first embodiment of the present invention provides a method for evaluating the quality of sports. It can be performed by an evaluation device of sports quality (hereinafter referred to as evaluation device). In particular, it is executed by at least one processor in the evaluation device to realize the following steps:

[0081] S101. Acquire a video containing a movement process of a specific sport, and divide the video into multiple video stages according to the type of sport.

[0082] The evaluation device may be a local computer or a server in the cloud. After receiving the video containing the movement process of sports, the evaluation device analyzes the video and outputs a corresponding score. The machine scoring has a unified standard, which can eliminate the interference of human subjective factors, and the scoring is more objective and accurate. The video obtained by the evaluation device can be a local computer connec...

Embodiment 2

[0123] Such as Figure 6 As shown, the embodiment of the present invention provides a kind of evaluation device of sports quality, and it comprises following module:

[0124] The video acquisition module is used to acquire the video containing the movement process of specific sports, and divide the video into multiple video stages according to the type of sports.

[0125] The feature representation module is configured to input multiple video stages into the backbone network model to obtain multiple feature representations corresponding to the multiple video stages.

[0126] Model building blocks for building regression network models. Among them, the regression network model is trained by using the method based on the total score of the difficulty coefficient as the training label.

[0127] The scoring module is used to input multiple feature representations into the regression network model to obtain the scoring of the motion process in the video.

[0128] Optionally, the...

Embodiment 3

[0147]An embodiment of the present invention provides an evaluation device for sports quality, which includes a processor, a memory, and a computer program stored in the memory. The computer program can be executed by the processor to implement the method for evaluating the quality of sports as in any paragraph in Embodiment 1.

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Abstract

The embodiment of the invention provides a physical exercise quality evaluation method, device and equipment and a storage medium, and relates to the technical field of behavior recognition. The evaluation method comprises the following steps: S101, acquiring a video containing the motion process of a specific physical exercise, and segmenting the video into a plurality of video stages according to the type of the physical exercise; S102, inputting the plurality of video stages into the backbone network model to obtain a plurality of feature representations corresponding to the plurality of video stages; S103, constructing a regression network model, wherein the regression network model is trained by adopting a method of dividing a total demand based on a difficulty coefficient into training labels; and S104, inputting the plurality of feature representations into a regression network model to obtain a score of a motion process in the video. The backbone network model ensures that action features in the scoring process can be complete, and semantic information is rich enough. The regression network model greatly improves the performance of the action quality evaluation method.

Description

technical field [0001] The present invention relates to the technical field of behavior recognition, in particular, to a method, device, equipment, and storage medium for evaluating the quality of sports. Background technique [0002] Most of the scoring of sports is done manually. In some sports where there are subjective factors in scoring, such as diving and gymnastics, it is easy to cause differences in scoring standards due to personal factors of referees, resulting in unfair scoring. [0003] The action quality assessment method is to extract meaningful information from the video data, and then quantify and evaluate the quality of the action (scoring) in different ways, so as to achieve the purpose of measuring the quality of the action. [0004] The action quality evaluation methods in the prior art generally use the feature extraction network in the field of action recognition as the backbone network, such as C3D, I3D, P3D, etc., and then use the features with spati...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/20G06V20/46G06V20/49G06F18/253G06F18/214
Inventor 张洪博董力嘉李明哲雷庆杜吉祥
Owner HUAQIAO UNIVERSITY
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