文献类型：期刊文献

英文题名：Research on Athlete Posture Monitoring and Correction Technology Based on Wireless Sensing and Computer Vision Algorithms

作者：Guo, Haiying[1];Liu, Xiaoming[2];Liu, Hui[1]

机构：[1]Jinzhong Univ, Dept Phys Educ, Jinzhong 030619, Shanxi, Peoples R China;[2]Shaoxing Univ, Fac Teacher Educ, Shaoxing 312000, Zhejiang, Peoples R China

年份：2024

外文期刊名：MOBILE NETWORKS & APPLICATIONS

收录：SCI-EXPANDED(收录号：WOS:001289382000002)、、WOS

基金：This paper was supported by Science and Technology Activities of Overseas Students in Shanxi Province Selected Funding Project "Research on the Wisdom Governance of Shanxi National Fitness Pub-lic Service under the Background of Digital Technology Empowerment" (20240034). DAS:No datasets were generated or analysed during the current study.

语种：英文

外文关键词：Wireless sensing; Computer vision algorithm; An athlete; Posture monitoring; Posture correction technique

外文摘要：In sports training and competition, the traditional methods of athlete posture monitoring often rely on complex equipment and expensive technology, which is difficult to be widely used. This study aims to explore a posture monitoring and correction technology based on wireless sensing and computer vision algorithms to provide a low-cost, efficient and easy-to-use solution. In this study, wireless sensors are used to collect real-time data of athletes during training and competition, and computer vision algorithms are combined to analyze athletes' posture. The wireless sensors include an inertial measurement unit (IMU) that captures the athlete's movement trajectory and changes in Angle. Using computer vision technology, the video images of athletes are obtained by cameras, and the posture recognition and dynamic analysis are carried out. Data fusion method combines sensor data with visual data to improve the accuracy and reliability of posture monitoring. The experimental results show that the posture monitoring system based on wireless sensing and computer vision algorithm can accurately identify and evaluate the athlete's posture. The system can feedback athletes' postural deviation in real time, provide effective correction suggestions, and significantly improve athletes' postural performance.