The Application of Artificial Intelligence in Computer-Aided Physical Education and Training

Abstract

Sports is not only good for physical health; it can also promote the metabolic function of the human body. Every country has carried out different levels of physical education and training. Traditional sports teaching and training often use the mode of transmission and demonstration to teach sports technical movements. However, the demonstration movements are instantaneous, and it is difficult for sports learners to understand the main points, which makes it difficult to stimulate their understanding of the difficult points of sports technical movements. Although computer-aided systems have been promoted in different disciplines, the traditional computer-aided mode only displays the relevant knowledge of sports technical movements to students in the form of images, which can display the technical movements in the form of each frame. Demonstration, which improves students' understanding of physical education teaching and training. However, this also lacks a certain degree of interactivity and rich technical action material. In this study, a computer-aided physical education and training system based on artificial intelligence theory is designed with volleyball physical education and training as the research object. It can use the hybrid CNN-LSTM technology to mine the technical actions of volleyball, such as padding, serving and spiking. The research results found that CNN-LSTM is suitable for mining and matching of technical movements in volleyball sports teaching and training.