PERCEPTION
A Computer Vision System for Virtual Rehabilitation
Michaël Bonenfant, Denis Laurendeau, Alexis Fortin-Côté, Philippe Cardou, Clément Gosselin, Céline Faure, Bradford J. McFadyen, Catherine Mercier, Laurent J. Bouyer
- Year
- 2017
- Citations
- 5
Abstract
A Kinect-based pose estimation system is presented for the study of movement problems within a rehab context. The performance of the system is compared to ground-truth data obtained by an expensive MoCap system. The results show that the proposed system performs well and could be used within a virtual rehabilitation context synchronized with other systems (e.g., robots).
Keywords
Context (archaeology)Computer scienceRobotComputer visionGround truthRehabilitationVirtual realityArtificial intelligenceHuman–computer interactionMachine vision
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