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Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition
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Authors:
James Fogarty
University of Washington, Seattle, WA
Carolyn Au
Carnegie Mellon University, Pittsburgh, PA
Scott E. Hudson
Carnegie Mellon University, Pittsburgh, PA
Published in:
· Proceeding
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Pages 91-100
ACM
New York, NY
, USA
©2006
table of contents
ISBN:1-59593-313-1
doi>
10.1145/1166253.1166269
2006 Article
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· Citation Count: 36
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UIST'13
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Tags:
activity recognition
sensing in the home
sensor-based models
user interfaces
user/machine systems
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