Time-frequency domain pattern analysis of Tai Chi 12 GONG FA based on skeleton key points detection
Yiqun Pang, Qiurui Wang, Changnian Zhang · 2021
The purpose of this study is to develop an intelligent automatic scoring system of Tai Chi 12 GONG FA based on machine learning to assist the teaching, training and promotion of 12 GONG FA. On the basis of obtaining the action videos of the practitioners with different exercise levels, the two-dimensional human skeleton key point recognition technology was used to extract the different behavior patterns of fine and bad actions by analyzing the complex periodic changes of the spatial distance of different key points in the time domain; And the artificial neural network was used to reduce the dimension of features predict whether the actions conform to the norms. The system only uses monocular RGB video as input, and by the proposed algorithm of recognizing fine action and bad action, 12 kinds of action can be well identified. The intelligent scoring system based on key point detection achieves similar results with the experts' score.