Research on Athlete Scientific Training Management System Based on New Computer Artificial Intelligence Technology

This paper firstly constructs a scientific and efficient auxiliary method for selecting and training athletes Athlete training expert system. The system collects information such as competition experience and training program obtained by coaches in the actual operation process. And through the integration of these tacit knowledge by computer, this paper is to build the corresponding knowledge base. Through Prolog programming, the functions of knowledge base and inference engine are combined. This paper establishes a professional sports training system with a hybrid program. The color and depth information provided by Kinect can be used to track different types of players in real time. Using standard serial interface, the 3D motion information of the player is imported into the computer, and the 3D spatial coordinates and motion rate are analyzed by dynamic time planning method. In this way, the sports characteristics of each type of players are obtained and the corresponding training programs are formulated accordingly. The effect of this method on improving the exercise ability is verified by the simulation test.