Intelligent Physical Education Teaching Tracking System Based on Multimedia Data Analysis and Artificial Intelligence

Abstract

The education system begins a significant dimension characterized by continuous improvement and impacted by technology, society, and cultural developments. This pattern shows the need to enhance physical and athletic scientific training methods. To make the teacher’s role more successful is the usage of computer systems and other computing infrastructure. This article aims to show the use of Information and Communication Technology (ICT) in the national association for physical education. The digitalization consequences in the profession can be synthesized into the following elements: an operating system for learning, application essential to finish actions, findings recording, movement monitoring, video processing, efficiency correlation and synchronization, object tracking and duration measurement systems, and exercise assessment. While physical activity and athletics are realistic activities, current instructional technology is not sufficient. An intelligent physical education tracking system (IPETS) is proposed in this research. This study analyses and investigates the methodology for the formative assessment of athletic knowledge in computer evaluation. During the first segment, the evaluation technique for the athletic education program was presented. The second step of the paper is to understand the contents of the mathematical formula of particular activity based on the complete approaches proposed for the theory of assessment. A different phase of modernizing teaching activities using the computerized quality education for Artificial Intelligence (AI) technology is established in this article. The experimental findings are high in identifying university students’ regular exercise.