Intelligent Teaching of Tennis Based on Human Skeleton Node Model

Autor: Daibin Peng, Yonghong Liu
Rok vydání: 2022
Předmět:
Zdroj: Wireless Communications and Mobile Computing. 2022:1-14
ISSN: 1530-8677
1530-8669
DOI: 10.1155/2022/8227307
Popis: In order to improve the effect of tennis intelligent teaching, this paper combines the human skeleton node model to construct a tennis intelligent teaching model. Aiming at the fact that there are errors in model identification and positional disturbances such as friction which cannot be avoided in actual tennis teaching, an effective sliding mode control strategy based on disturbance observer is presented. Moreover, this paper builds a simulation model through MATLAB/Simulink to verify the influence of the three parameters of inertia, damping, and stiffness in the admittance model on the control performance. Then, this paper combines the admittance control theory to analyze the difference between the active mode and the passive mode and the main functions of the two control modes and constructs an intelligent simulation system. The experimental study shows that the tennis intelligent teaching model based on the human skeleton node model has good effects in tennis action correction and tennis-teaching effect improvement.
Databáze: OpenAIRE
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