Automated gap-filling for marker-based biomechanical motion capture data

Jonathan Camargo, Aditya Ramanathan, Noel Csomay-Shanklin and Aaron Young

Computer Methods in Biomechanics and Biomedical Engineering, 2020, vol. 23, issue 15, 1180-1189

Abstract: Marker-based motion capture presents the problem of gaps, which are traditionally processed using motion capture software, requiring intensive manual input. We propose and study an automated method of gap-filling that uses inverse kinematics (IK) to close the loop of an iterative process to minimize error, while nearly eliminating user input. Comparing our method to manual gap-filling, we observe a 21% reduction in the worst-case gap-filling error (p

Date: 2020
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DOI: 10.1080/10255842.2020.1789971

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