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Gait analysis
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=== Markerless gait capture === * Markerless gait capture systems utilize one or more color cameras or 2.5D{{explain|date=January 2022}} depth sensors (i.e. Kinect) to directly calculate the body joint positions from a sequence of images. The markerless system allows non-invasive human gait analysis in a natural environment without any marker attachment. Eliminating markers can expand the applicability of human gait measurement and analysis techniques, considerably reduce the preparation time, and enable efficient and accurate motion assessment in all kinds of applications. Currently, the main markerless system is the video-based motion capture with monocular camera or multiple camera studio.<ref>X. Zhang, M. Ding, G. Fan (2016) ''Video-based Human Walking Estimation by Using Joint Gait and Pose Manifolds'', IEEE Transactions on Circuits and Systems for Video Technology, 2016</ref> Nowadays, the depth sensor-based gait analysis for clinical applications becomes more and more popular. Since depth sensors can measure the depth information and provide a 2.5D depth image, they have effectively simplified the task of foreground/background subtraction and significantly reduced pose ambiguities in monocular human [[pose estimation]].<ref>{{cite web|url=https://sites.google.com/site/mengdingosu/home/research|title=Research β Meng Ding}}</ref>
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