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Design and testing of lightweight inexpensive motion-capture devices with application to clinical gait analysis

Eric Wade, Maja J. Matarić

Year
2009
Citations
17
Access
Open access

Abstract

The advent of more portable and affordable sensing devices has facilitated the study of rehabilitation robotics. Critical to the further development of therapies and interventions are low-cost, easy-to-use devices that can be applied in clinical and home care settings. In this paper, we present a lo

Keywords

Computer scienceMotion captureRoboticsRehabilitationGait analysisArtificial intelligenceGaitMotion (physics)Psychological interventionHuman–computer interaction

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