OHSU

Unobtrusive Assessment of Gait


Investigator: Misha Pavel
Affiliation: OHSU Biomedical Engineering
Funding Period: 2005 - 2006
Funding Source: Intel BAIC
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Abstract

Goal being to determine clinically relevant gait and movement characteristics and a corresponding set of  biomechanical and sensory-motor models. Also to develop a suite of inexpensive, distributed sensors and devices by modifying existing technology, by using COTS sensors with custom packaging and software, and new principled fusion algorithms for estimation of gait and mobility parameters using unobtrusive sensors. Evaluate  the effectiveness of these approaches to estimation of gait characteristics in a laboratory and in the Living Laboratory.