Research on the Application of Computer Vision-Based Physical Fitness Test for College Students
Chen Li, Xiao Tingyu, He Ying, Qilin Hu, Wang Yudian · 2023
With the rapid development of computer vision technology, its application in various fields has become more and more extensive. Through the analysis of related research, it is found that computer vision can not only improve the efficiency and accuracy of physical fitness test in colleges and universities, but also further promote the development of physical education and the implementation of intelligent management. Taking the test of National Student Physical Fitness Standard as the background, this paper analyzes the application of computer vision in the physical fitness test of students in colleges and universities, including its role in the measurement and data processing of three parts, namely, body morphology, physical function and physical quality, explores how computer vision technology can properly utilize its potential and advantages in physical fitness testing of students in higher education and discusses its future development direction, with a view to providing reference for the development of sports informatization and digitalization in higher education.