Applications and limitations of current markerless motion capture methods for clinical gait biomechanics

Background Markerless motion capture has the potential to perform movement analysis with reduced data collection and processing time compared to marker-based methods. This technology is now starting to be applied for clinical and rehabilitation applications and therefore it is crucial that users of...

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Bibliographic Details

Published in:	PeerJ
Main Authors:	Logan Wade, Laurie Needham, Polly McGuigan, James Bilzon
Format:	Article
Language:	English
Published:	PeerJ Inc. 2022-02-01
Subjects:	Marker-based Deep learning Computer vision Pose estimation Clinical gait analysis OpenPose
Online Access:	https://peerj.com/articles/12995.pdf