Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker

Abstract

Rollating walkers are popular mobility aids used by older adults to improve balance control. There is a need to automatically recognize the activities performed by walker users to better understand activity patterns, mobility issues and the context in which falls are more likely to happen. We design and compare several techniques to recognize walker related activities. A comprehensive evaluation with control subjects and walker users from a retirement community is presented.

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Cite this paper

@inproceedings{Omar2010ComparativeAO, title={Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker}, author={Farheen Omar and Mathieu Sinn and Jakub Truszkowski and Pascal Poupart and James Yungjen Tung and Allen Caine}, booktitle={UAI}, year={2010} }