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.

Deep Learning-Based Scene Processing and Optimization for Virtual Reality Classroom Environments: A Study

“…Existing studies are mostly focused on static scene rendering techniques, with less discussion on real-time processing and optimization of dynamic interactive teaching scenes [17][18][19]. Moreover, current scene layout methods often overlook personalized learning needs and cognitive differences, lacking adaptive design for different learners [20][21][22][23][24]. These limitations restrict the potential of VR in personalized teaching and inclusive education, also constraining the maximization of educational effects.…”

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

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”