Evaluation of sports visualization based on wearable devices

Abstract

In order to visualize the physical education classroom in school, we create a visualized movement management system, which records the student's exercise data efficiently and stores data in the database that enables virtual reality client to call. Each individual's exercise data are gathered as the source material to study the law of group movement, playing a strategic role in managing physical education. Through the combination of wearable devices, virtual reality and network technology, the student movement data (time, space, rate, etc.) are collected in real time to drive the role model in virtual scenes, which visualizes the movement data. Moreover, the Markov chain based algorithm is used to predict the movement state. The test results show that this method can quantize the student movement data. Therefore, the application of this system in PE classes can help teacher to observe the students' real-time movement amount and state, so as to improve the teaching quality.