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Updated: Jun 24, 2026

Movement Retraining using Real-time Feedback of Performance
Published on: January 17, 2013
Synchronised Video, Motion Capture and Force Plate Dataset for Validating Markerless Human Movement Analysis
Murray Evans1,2, Laurie Needham3,4,5, Logan Wade3,4
1Centre for the Analysis of Motion, Entertainment Research and Applications, University of Bath, Bath, UK. m.evans@bath.ac.uk.
Abstract:
The BioCV dataset is a unique combination of synchronised multi-camera video, marker based optical motion capture, and force plate data, observing 15 healthy participants (7 males, 8 females) performing controlled and repeated motions (walking, running, jumping and hopping), as well as photogrammetry scan data for each participant. The dataset was created for the purposes of developing and validating the performance of computer vision based markerless motion capture systems with respect to marker based systems.
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