Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker
Farheen Omar, Mathieu Sinn, Jakub Truszkowski, Pascal Poupart, James Tung, Allen Caine
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.
PDF Link: /papers/10/p392-omar.pdf
AUTHOR = "Farheen Omar
and Mathieu Sinn and Jakub Truszkowski and Pascal Poupart and James Tung and Allen Caine",
TITLE = "Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker",
BOOKTITLE = "Proceedings of the Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-10)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "2010",
PAGES = "392--400"