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Summary: Sensing from the Basement: A Feasibility Study of
Unobtrusive and Low-Cost Home Activity Recognition
James Fogarty
Computer Science and Engineering
University of Washington
Seattle, WA 98105
jfogarty@cs.washington.edu
Carolyn Au
, Scott E. Hudson
Human Computer Interaction Institute
Carnegie Mellon University
Pittsburgh, PA 15213
scott.hudson@cs.cmu.edu
ABSTRACT
The home deployment of sensor-based systems offers many
opportunities, particularly in the area of using sensor-based
systems to support aging in place by monitoring an elder's
activities of daily living. But existing approaches to home
activity recognition are typically expensive, difficult to
install, or intrude into the living space. This paper
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