Leveraging Computer Vision for Contactless Biomechanical Analysis of Human Movement

This study presents an innovative computer vision framework that enables comprehensive and contactless biomechanical analysis of human movements, eliminating the need for cumbersome markers and sensors. The framework integrates advanced imaging techniques, deep learning algorithms, and biomechanical modeling to accurately detect body landmarks, reconstruct 3D body meshes, and generate detailed kinematic and kinetic data.