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Abstract: We present a robotic walking aid capable of learning models of users' walking-related activities. Our walker is instrumented to provide guidance to elderly people when navigating their environments; however, such guidance is difficult to provide without knowing what activity a person is engaged in (e.g., where a person wants to go). The main contribution of this paper is an algorithm for learning models of users of the walker. These models are defined at multiple levels of abstractions, and... (Update)
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BibTeX entry: (Update)
@misc{ glover-learning,
author = "Jared Glover and Sebastian Thrun and Judith T. Matthews",
title = "Learning User Models of Mobility-Related Activities through Instrumented
Walking Aids",
url = "citeseer.ist.psu.edu/705283.html" }
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