Yuan Wei
Papers
1
Total Citations
4
H-Index
1
About
Yuan Wei is a researcher at the intersection of artificial intelligence, sports science, and computational modeling, with a primary focus on injury prevention and performance optimization in aerobics. Wei’s most notable contribution is the development of an AI-driven infrared thermal imaging monitoring system, detailed in the 2024 paper “Infrared thermal image monitoring based on artificial intelligence application in the prevention of sports injuries in aerobics: Computational thermal modeling.” This work pioneers the use of computational thermal modeling to detect early signs of muscle fatigue and overuse injuries, offering a non-invasive, real-time diagnostic tool for athletes and coaches. By integrating machine learning with thermal data, Wei’s approach enables precise, personalized injury risk assessments, advancing the field of sports biomechanics. Though early in its citation impact (4 citations), this research has already garnered attention for its innovative fusion of AI and thermal physics. Wei’s work stands out for its practical application in high-intensity sports, bridging the gap between advanced computational techniques and everyday athletic training. This achievement positions Wei as an emerging leader in sports technology and AI-driven health monitoring.
Research Focus
Key Achievements
Top Papers
- 1