AINeutralarXiv – CS AI · May 126/10
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Monocular Biomechanical Tracking of Fingers with Inverse Kinematics to Foundation Models
Researchers developed a method combining SAM 3D Body foundation models with inverse kinematics to accurately track finger joint angles from single monocular video, achieving approximately 10-degree accuracy in finger tracking and 6mm hand position errors. The approach ports existing AI models to JAX and MuJoCo for GPU-accelerated optimization, enabling clinical applications for monitoring hand movement and range of motion from standard video without specialized multi-camera setups.