Application of AI technology in preventing sports injuries in Chinese southern lion dance teaching
Abstract
This study explores the application of artificial intelligence (AI) technology in preventing sports injuries in Chinese Southern Lion Dance teaching. As a traditional Chinese art, Southern Lion Dance requires athletes to demonstrate superb skills and coordination during performances. The high difficulty of the movements and continuous jumping particularly increase the risk of sports injuries. This paper first outlines the origins, development, and technical requirements of Southern Lion Dance and analyzes common types of training-related sports injuries. It then introduces the theoretical basis for injury prevention and existing prevention strategies. In this context, the paper discusses in detail the current applications of AI technology in sports medicine and its advantages in preventing sports injuries. Through empirical research, we used convolutional neural networks (CNN) from deep learning models to analyze and monitor the movements of Southern Lion Dance athletes during training in real-time, establishing an early warning system to prevent potential sports injuries. The study selected Southern Lion Dance athletes with different training experiences, recorded their training and performance movements using high-precision cameras, and input these data into the designed CNN model for analysis. The model identifies athletes’ movement postures and muscle load conditions, provides real-time feedback, and issues warnings to help athletes adjust promptly when there is movement deviation or overuse of certain muscle groups. Experimental results show that after applying AI technology, the incidence of sports injuries significantly decreased, and training efficiency markedly improved. Detailed data analysis indicates that AI technology has broad application prospects in Southern Lion Dance teaching and helps enhance the safety and effectiveness of athletes’ training.
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