Automated gap-filling for marker-based biomechanical motion capture data. Issue 15 (17th November 2020)

• Record Type: Journal Article
• Authors: Camargo, Jonathan; Ramanathan, Aditya; Csomay-Shanklin, Noel; Young, Aaron
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 23:Issue 15(2020)
• Page Start: 1180
• Page End: 1189
• Publication Date: 2020-11-17
• Subjects: Motion capture -- inverse kinematics -- gap-filling -- biomechanics; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2020.1789971
• Languages: English
• ISSNs: 1025-5842

Abstract

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 < 0.05), and an 80% reduction in completion time ( p < 0.01). Our contribution encompasses the release of an open-source repository of the method and interaction with OpenSim.