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Updated: Jul 10, 2026

Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
Unobtrusive assessment of mobility
Misha Pavel1, Tamara L Hayes, Andre Adami
1Biomed. Eng. Dept., Oregon Health & Sci. Univ., Portland, OR 97239, USA. pavelm@ohsu.edu
Abstract:
This paper describes a model-based approach to the unobtrusive monitoring of elders in their home environment to assess their health, daily activities, and cognitive function. We present a semi-Markov model representation with automated learning to characterize individual elder's mobility in the home environment. The assessed mobility can be used to characterize the elder's speed of walking and can serve as one of the predictors of future cognitive functionality and the ability of elders to live independently in their home environment.
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