AI-Powered Sports Motion Analysis & Biomechanical Injury Risk Coach
Single-camera pose estimation system tracking knee valgus, elbow angles, and torso flexion to prevent athletic ACL tears.
Project Overview
Analyzes high-speed video of squats, jumps, and cricket bowling from standard smartphone cameras. Uses 3D pose landmark estimation to track dynamic knee-valgus angles and spinal shear stresses, generating real-time visual coaching cues to avoid athletic injury.
Analyzes high-speed video of squats, jumps, and cricket bowling from standard smartphone cameras. Uses 3D pose landmark estimation to track dynamic knee-valgus angles and spinal shear stresses, generating real-time visual coaching cues to avoid athletic injury.
Single-camera pose estimation system tracking knee valgus, elbow angles, and torso flexion to prevent athletic ACL tears.
Core Project Objectives
Capture continuous analog/digital sensor readings with robust noise filtering and hardware calibration.