Sensor Action Recognition, Tracking, and Optimization Analysis in Training Process Based on Virtual Reality Technology

Abstract

In order to solve the problem of improving the training efficiency and competition performance of athletes, a system of sensor action recognition, tracking, and optimization analysis based on virtual reality technology is proposed. After using the perceptual interaction subsystem to build a three-dimensional training scene through the virtual environment producer, the picture in the three-dimensional scene is rendered through the view module in the model operator system. At the same time, the logic module calculates the physical attenuation of athletes and sends the calculation results back to the perceptual interaction subsystem effect generator through the interface to present the interactive effect of athletes’ training. The experimental results show that the maximum improvement of the performance of five randomly selected athletes in the 100-meter, 200-meter, and 400-meter dash competitions after using the system can reach 5 s, 4.5 s, and 6 s, respectively. Conclusion. The system can effectively complete the calculation of athletes’ physical fitness attenuation and has good carrying capacity. It can improve athletes’ physical fitness training effect and competition simulation efficiency and can improve athletes’ competition performance after application.