Analysis and Improvement of Tennis Motion Recognition Algorithm Based on Human Body Sensor Network

Abstract

With the development of digital image technology and human body sensor network, the error recognition model of tennis serving motion constructed by human beings based on this technology has also attracted more and more attention of the tennis lovers. Among the traditional methods, the tennis serve error recognition method mainly includes the tennis serve error recognition method based on feature resolution reconstruction, but it is difficult to realize the tennis serve error recognition. The traditional method of tennis serve action error recognition has poor feature recognition ability and detection and recognition ability. In this paper, a tennis serve error identification method based on human body sensor network (body area network) is proposed, and the simulation test analysis is carried out. The experimental results show that this method has superior performance in improving the ability of tennis serve error recognition. Relevant research can not only improve the accuracy of tennis movement error recognition, but also effectively promote the technical application and theoretical improvement of this technology in related fields.