Abstract
In this paper, we present a method to individualize the geometry of the musculoskeletal model based on the motion capture data. Assuming that the human body is rigid, we first optimize the joints trajectories of the skeleton model by minimizing the distribution of the distance between each marker joint and joint-joint during a motion sequence. Then, the scale of the skeleton model is optimized based on the optimized joints trajectories and the measured markers trajectories. The experimental result shows that our method estimates the specific subject's joint position within error of 8.5 mm deviation.
