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

Camargo, Jonathan and Ramanathan, Aditya and Csomay-Shanklin, Noel and Young, Aaron (2020) Automated gap-filling for marker-based biomechanical motion capture data. Computer Methods in Biomechanics and Biomedical Engineering, 23 (15). pp. 1180-1189. ISSN 1025-5842. doi:10.1080/10255842.2020.1789971.

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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.

Item Type:Article
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URLURL TypeDescription
Camargo, Jonathan0000-0001-5219-2110
Csomay-Shanklin, Noel0000-0002-2361-1694
Additional Information:© 2020 Taylor & Francis. Received 27 Mar 2020, Accepted 28 Jun 2020, Published online: 11 Jul 2020. The authors would like to thank Dean Molinaro for sharing the full body motion capture data that was analyzed in this paper, and Bharat Kanwar and Will Flanagan for their discussions during the conception of the gap-filling method. This work was supported, in part, by a Fulbright fellowship awarded to Jonathan Camargo-Leyva. No potential conflict of interest was reported by the author(s).
Funding AgencyGrant Number
Fulbright FoundationUNSPECIFIED
Subject Keywords:Motion capture, inverse kinematics, gap-filling, biomechanics
Issue or Number:15
Record Number:CaltechAUTHORS:20200720-080500097
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Official Citation:Jonathan Camargo, Aditya Ramanathan, Noel Csomay-Shanklin & Aaron Young (2020) Automated gap-filling for marker-based biomechanical motion capture data, Computer Methods in Biomechanics and Biomedical Engineering, 23:15, 1180-1189, DOI: 10.1080/10255842.2020.1789971
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:104437
Deposited By: Tony Diaz
Deposited On:20 Jul 2020 16:15
Last Modified:16 Nov 2021 18:31

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