A motion quality evaluation method and system

A quality evaluation and motion technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve problems such as unreasonable feedback information, confusion of similar postures, and feedback deviation of joint point positions

Active Publication Date: 2019-02-15
HUAQIAO UNIVERSITY
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Problems solved by technology

[0005] However, the existing motion quality evaluation scheme integrates the feature representation and regression prediction of all motion categories into one evaluation function for optimization, so the verification process only targets one or two categories of motion data, and requires a specific domain when adding motion categories of experts label the data
In addition, when there are large differences in the motion patterns of different categories, using a single evaluation function for evaluation is prone to be affected by the distribution of sample data and cause large approximation errors.
Moreover, similar postures of different behavior categories may be confused, causing large deviations or even unreasonable feedback information on the position feedback of joint points.

Method used

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  • A motion quality evaluation method and system
  • A motion quality evaluation method and system
  • A motion quality evaluation method and system

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[0042] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. In particular, the following examples are only used to illustrate the present invention, but not to limit the scope of the present invention. Likewise, the following embodiments are only some but not all embodiments of the present invention, and all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0043] The present invention provides an exercise quality evaluation method, which can achieve accurate feedback of evaluation information on human exercise quality without manual labeling of human exercise data.

[0044] See figure 1 , figure 1 It is a schematic flow chart of an embodiment of the motion quality evaluation method of the present invention. It should be noted that if there are substantially the same results, the method of the presen...

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Abstract

The invention discloses a motion quality evaluation method and system, wherein the method comprises extracting a local motion pattern of each part of that body from the motion trajectory of a human joint, and establishing the behavior classification to distinguish the movement pattern, and then according to the established behavior classification for judging the motion mode, establishing a model of pose feature representation and quality evaluation based on human joint displacement correlation, and then scoring the quality of human motion in the video captured by the camera according to the pose feature representation and quality evaluation model based on human joint displacement correlation. By using the method, it is possible to accurately feedback the evaluation information of the humanmotion quality without labeling the human motion data manually.

Description

technical field [0001] The invention relates to the technical field of motion quality evaluation, in particular to a motion quality evaluation method and system. Background technique [0002] In terms of the sports industry, sports quality evaluation technology can enable athletes to obtain real-time scores on the quality of their movements while training under cameras, and visualized feedback data can help athletes improve their performance. The sports assistance system based on this technology can detect wrong postures to prevent injuries caused by sports by adding physiological constraints of human sports. Therefore, it has broad application prospects in related fields such as competitive sports training, sports teaching and sports rehabilitation. In the field of content-based video retrieval, search engines can not only return videos related to query conditions based on similarity metrics, but also sort the retrieved videos with the assistance of motion quality evaluatio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/20G06F18/2411
Inventor 雷庆杜吉祥张洪博余思哲
Owner HUAQIAO UNIVERSITY
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