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A probabilistic approach to the anxious home for activity monitoring

West, Geoff, Greenhill, Stewart and Venkatesh, Svetha 2005, A probabilistic approach to the anxious home for activity monitoring, in COMPSAC 2005 : Proceedings of the 29th Annual International Computer Software and Applications Conference, IEEE, Piscataway, N. J., pp. 335-340.

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Title A probabilistic approach to the anxious home for activity monitoring
Author(s) West, Geoff
Greenhill, Stewart
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name International Computer Software and Applications Conference (29th : 2005 : Edinburgh, Scotland)
Conference location Edinburgh, Scotland
Conference dates 26-28 Jul. 2005
Title of proceedings COMPSAC 2005 : Proceedings of the 29th Annual International Computer Software and Applications Conference
Editor(s) [Unknown]
Publication date 2005
Conference series International Computer Software and Applications Conference
Start page 335
End page 340
Total pages 6
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) activity monitoring
probabilistic models
smart house concept
Summary This paper describes an approach to representing normal activities in a smart house based on the concept of anxiety. Anxiety is computed as a function of time and is kept low by interactions of an occupant with the various devices in a house. Abnormality is indicated by a lack of activity or the wrong activity which will cause anxiety to rise ultimately raising an alarm, querying the occupant and/or alerting a carer in real-time. Anxiety is formulated using probabilistic models that describe how people interact with devices in combinations. These models can be learnt interactively as the smart house acts pessimistically enquiring of the occupant if what they are doing is normal. Results are presented for a number of kitchen scenarios and for different formulations of anxiety.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0769524133
ISSN 0730-3157
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2005, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044618

Document type: Conference Paper
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.