We are developing a novel, relatively low cost system to automatically assess upper body performance of stroke survivors during functional tasks at home. The system makes use of calibrated digital cameras stationed about a desktop, as well as objects instrumented with force sensitive resistors. In this paper, we describe a single motor statistic which we have found to correlate well with functional scores on the AMAT. In addition, we evaluate the measurement of this statistic with our home appropriate device relative to the measurement made with a high end commercial motion capture system.
Computer Vision, Stroke Assessment, Home Therapy
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