Automatic evaluation method of human body action and dance scoring system

Abstract

The invention discloses an automatic evaluation method of human body action and a dance scoring system. The method comprises the following steps: on the basis of depth data, selecting human body bone nodes and human body outline nodes; on the basis of the human body bone nodes, constructing human body limb vectors, calculating a space included angle between each human body limb vector and a corresponding template limb vector, weighting and normalizing the space included angles, and calculating an accumulation error which is taken as a diversity degree based on the human body bone node analysis; on the basis of the human body outline nodes, constructing human body outline vectors, calculating a space included angle between two adjacent human body outline vectors, constructing an energy function by a diversity value between the space included angle and space included angle of template outlet vectors, solving a minimum value of the energy function by a graph cut method, and taking the minimum value as the diversity degree based on human body outline node analysis; and carrying out weighting and summation on the diversity degree based on the human body bone node analysis and the diversity degree based on the human body outline node analysis, and taking the obtained value to serve as an evaluation parameter used for balancing a matching degree of the human body action and template action so as to realize the automatic evaluation of the human body action.

Description

technical field [0001] The invention relates to motion analysis technology in the field of image processing and computer vision, in particular to an automatic evaluation method of human body movements and a dance scoring system based on depth data. Background technique [0002] In the application fields of intelligent dance teaching, sports video analysis and rehabilitation training, the automatic evaluation method of human movement has a broad application prospect. Compared with the traditional human motion evaluation method based on human judgment, the automatic evaluation method of human motion will not be affected by human subjective factors, and can intelligently evaluate the captured human motion and the prescribed template motion based on the computer and the preset analysis method the degree of difference between. In the prior art, most automatic evaluation methods of human body motions are based on two-dimensional graphic sequences to calculate the human skeleton a...

AI Technical Summary

Problems solved by technology

This method estimates the human skeleton nodes based on the depth data, and often uses fitting and other methods to estimate the human skeleton nodes twice. Due to the noise in the depth data, there will be some errors in the estimation results, especially for the end nodes of human limbs that describe subtle movements. The estimation results

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