AI RESEARCH
Monocular Biomechanical Tracking of Fingers with Inverse Kinematics to Foundation Models
arXiv CS.AI
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ArXi:2605.09258v1 Announce Type: cross Accurate hand and finger tracking from video has significant clinical applications for monitoring activities of daily living and measuring range of motion, yet monocular video approaches for obtaining hand biomechanics remain under-developed. We present a method that combines the SAM 3D Body foundation model with inverse kinematics optimization in a full-body biomechanical model to extract anatomically-constrained finger joint angles from single-view video.