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A Computer Vision-Based Approach for Abnormal Gait Analysis
Robert Prinz, Alexandra Branzan Albu, Nigel Livingston
105 - 113
Assistive Technology Research Series
Volume 21: Technology and Aging
Abstract

This paper describes a new computer vision-based method for motion analysis in the context of rehabilitation and orthotics. The proposed approach measures upper-body sway at head level using spatiotemporal templates of motion. Experimental results obtained from video sequences of unaided and aided walking show that the proposed method is able to successfully captur abnormalities in gait, as well as gait improvement due to wearing corrective orthotics.

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