Methods and systems are presented for kinematic tracking and assessment of upper extremity function of a patient. A sequence of 2D images is captured by one or more cameras of a patient performing an upper extremity function assessment tasks. The captured images are processed to separately track body movements in 3D space, hand movements, and object movements. The hand movements are tracked by adjusting a position, orientation, and finger positions of a three-dimensional virtual model of a hand to match the hand in each 2D image. Based on the tracked movement data, the system is able to identify specific aspects of upper extremity function that exhibit impairment instead of providing only a generalized indication of upper extremity impairment.
Computer-vision-based clinical assessment of upper extremity function