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.
Cite
Text
Omar et al. "Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker." Conference on Uncertainty in Artificial Intelligence, 2010.Markdown
[Omar et al. "Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker." Conference on Uncertainty in Artificial Intelligence, 2010.](https://mlanthology.org/uai/2010/omar2010uai-comparative/)BibTeX
@inproceedings{omar2010uai-comparative,
title = {{Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker}},
author = {Omar, Farheen and Sinn, Mathieu and Truszkowski, Jakub and Poupart, Pascal and Tung, James Yungjen and Caine, Allen},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2010},
pages = {392-400},
url = {https://mlanthology.org/uai/2010/omar2010uai-comparative/}
}