Sports game teaching and high precision sports training system based on virtual reality technology

Abstract

Sports can combine virtual reality technology with high-precision training to enhance the training effectiveness of users. In view of the current problems of insufficient physical quality and lack of exercise motivation faced by college students, this paper aims to explore a new type of college sports game teaching model through the integration of virtual reality technology. This is to improve students 'physical exercise efficiency and subjective initiative. This study constructed an experiential sports game model by applying posture recognition technology and fuzzy comprehensive evaluation method. The research indicated that the error accuracy with residual structure added will quickly decrease. When calculating the error, the overall error decreased by 6 mm. The proposed method can accurately distinguish human behavior in motion and trajectories in the motion area. The motion capture accuracy was high, and the deformation amount met the teaching needs of higher education institutions for sports game teaching. The contribution of this study is the significant improvement in the accuracy of motion capture, resulting in a total error reduction to 6 mm. This improvement ensured that the model can accurately distinguish between motion behavior and trajectory. The cumulative variance explanation rate of the scale reached 712.407 %, which was far more than that of the traditional model, and fully covered and explained the questionnaire information. Through the comparative test with four knowledge tracking models, the effectiveness and superiority of the sports game teaching mode integrated with virtual reality technology were verified.