This course explores the innovative applications of Artificial Intelligence (AI) in fitness training and sports injury prevention, helping students understand how AI technologies can enhance training outcomes, predict injuries, and prevent them effectively. The first section introduces the application of AI in fitness training, covering areas such as performance monitoring, personalized training plan design, movement analysis, and data-driven decision-making. Students learn how AI tools can track training progress in real-time, analyze athletic data, and make adjustments to optimize results. The second section delves into future trends of AI in sports injury prediction and prevention. It explores how machine learning models can analyze an athlete's movement patterns, fatigue levels, and injury risks, allowing for early detection and personalized injury prevention strategies. Additionally, the course covers AI applications in rehabilitation, including monitoring recovery progress, analyzing rehabilitation data, and adjusting exercise prescriptions. Overall, the course emphasizes how AI can be integrated into fitness training and injury prevention, improving athletic performance, reducing injury risks, and equipping students with practical skills for applying AI tools in real-world settings.

Implemented by Department of Exercise and Health Sciences
Date: 2025/12/01