FURI | Spring 2025

Optimizing Athletic Performance Through Wearable Sensors and Machine Learning

Training programs for athletes usually lack real-time, reliable insights into athletic performance. By integrating machine learning models with technology like accelerometers, gyroscopes, heart rate monitors, and electromyography, this study will progress to finding a solution to getting these metrics and help predict certain parts of movements that optimize muscle development. This method studies the movements of exercises and gives insights into muscle optimization for sports uses.  By automating data collection and analysis, this project attempts to optimize athletic performance, specifically on weightlifting, and efficacy, while offering athletes, coaches, and trainers progress toward a final solution in optimizing fitness.