Hunan University of Science and Technology, Xiangtan, Hunan 411201, China
With the increasing attention and love of tennis, much tennis-related auxiliary equipment emerges as the times require. A large number of companies specializing in tennis-assisted teaching have emerged in China and internationally, and have achieved some achievements. The main purpose of this paper is to discuss how to use the method of intelligent data analysis to carry out the simulation design of tennis intelligence training. This paper introduced an auxiliary tennis intelligent training simulation system designed by using image processing technology. The auxiliary sports training system used the method of human posture estimation to quantitatively analyze and compare the postures of athletes and coaches, so as to provide coaches with more intuitive exercise analysis and guidance. The experimental results of this paper showed that the highest recognition rate was 100%, and the lowest was 98.0%; the highest accuracy rate was 98.0%, and the lowest was 96.4%. It can be seen that the simulation system had a high recognition rate of actions in tennis training. It is very meaningful to apply the intelligent data analysis model to the simulation design of tennis intelligent training. The system can not only correctly identify the movements of athletes, but also can compare their movements with those of the coaches, so as to correct wrong movements and improve the efficiency of training.
Tennis Smart Training, Human Pose Estimation, Intelligent Data Analysis Model, Image Processing
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