Effective Application of Information Technology in Physical Education Teaching in the Era of Big Data

Abstract

Abstract With the development of modern information technology and the promotion of “Internet + education”, the intelligentization of physical education has become an inevitable trend for future growth. To improve the teaching quality of physical education and students’ physical quality, this paper proposes Openpose bone tracking technology to identify and standardize the training movements in the physical education classroom, to ensure the adequacy of students’ activities and improve the teaching efficiency of the physical education classroom. In addition, this paper also proposes a depth-separated convolutional algorithm to optimize the bone tracking technology and enhance the accuracy of the system’s action recognition. After experimental Analysis, the matching degree of this system with the sports classroom reaches more than 75%. It plays a specific role in improving stage-specific sports scores, and nearly 10 points of scores improve the sports scores of the introduction of Openpose compared with the unused ones. It can be seen that Openpose bone tracking technology based on the depth-separated convolution algorithm can improve the teaching efficiency of the physical education classroom and standardize students’ training movements.