Computational Biomechanics
This project focused on understanding human movement patterns and developing AI systems that can analyze and provide feedback on athletic performance.
Key Research Areas
Motion Analysis
- Developing computer vision systems for real-time pose estimation, here I used YOLOv5 for classifying the position of a ball, and mediapipe pose estimation for human joint detection.
- Creating biomechanical models for different sports and activities, as a proof of concept, I focused on basketball.
- Analyzing joint angles, velocities, and accelerations during athletic movements
Performance Optimization
- Identifying optimal movement patterns for specific sports
- Developing personalized feedback systems based on individual body mechanics
- Creating adaptive training programs that evolve with athlete progress