Dynamic 3D image simulation of basketball movement based on embedded system and computer vision

Traditional empirical basketball teaching methods can be repeated, affecting serious basketball training efficiency and the acquisition of technical essentials. Based on this problem, the basketball training reproduction framework is built utilizing augmented reality innovation. The framework sets up a virtual reenactment model of a ballplayer planning a player?s track. Simultaneously, as a helping player, it captures the basketball player?s actual situation, compares them with the simulated trajectories, and provides more targeted training. Based on virtual reality-based Virtual Data Augmentation Technology (VDRT), basketball technology?s teaching mode allows players to acquire key points of sports skills and significantly improve basketball players? training efficiency as soon as possible. With the quick improvement of current science and innovation, for example, center, science and innovation, and electronic data innovation, more educational activities are being applied. However, modern educational methods? important content is to master and use modern educational equipment and processes. This article uses basic concepts, characteristics, and virtual reality techniques and literature and information methods to explain the types of role play in basketball lessons. Finally, it analyzes the application programs of basketball theory education, technical education, tactical instruction and educational competitions that provide scientific standards for future basketball education reform.

Automated summary

By utilizing augmented reality innovation, a basketball training reproduction framework is established, providing more targeted training by setting up a virtual reenactment model and capturing players' actual situations. With the use of Virtual Data Augmentation Technology (VDRT), players can quickly grasp key points of sports skills and significantly improve training efficiency.