A Method for Evaluating Human Movement Coordination

Abstract

The invention discloses a method for evaluating sports coordination of a human body. The method comprises the steps that phase-space reconstruction is performed according to timing sequences of acceleration signals of different human body parts, denoising processing is completed, then other phase spaces are respectively predicted according to local manifold feature structure of any one phase space, and mutual coordination indexes of the human body parts are obtained; finally, a human body sports coordination matrix is established, and a trace of the human body sports coordination matrix servesas a sports coordination index of the human body; the sports coordination index result of the human body is compared and matched with results of different human bodies in a database, and the sports coordination levels and overall sports coordination levels of different parts of the human body are output. By adopting the method, the problem is solved that the coordination degrees of different parts of the human body in the sports process of the human body cannot be objectively quantified, and thus the blank of current objective coordination quantification of the human body is filled.

Description

technical field [0001] The invention relates to a method for evaluating human body movement coordination. Background technique [0002] With the popularization of digital health strategies, people pay more and more attention to daily exercise data, which can allow people to understand their own exercise status during exercise. Among them, the evaluation of human coordination is of great significance. On the one hand, this evaluation can reflect the adaptive ability of human body movement from a system perspective, and on the other hand, it can also provide targeted targets for the daily exercise of the public. [0003] Coordination in the process of human movement refers to the degree of coordination of different regions obtained by analyzing the movement states of different regions of the human body during a specific movement. However, since human body coordination is a brand-new concept, there is no clear objective quantitative standard for human body movement evaluation ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that it is impossible to objectively quantify the coordination degree of different regions of the human body in the process of exercise, and to make up for the current gap in the objective quantification of human coordination

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