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Factored state-abstract hidden Markov models for activity recognition using pervasive multi-modal sensors

Tran, Dung T., Phung, Dinh Q., Bui, Hung H. and Venkatesh, Svetha 2005, Factored state-abstract hidden Markov models for activity recognition using pervasive multi-modal sensors, in Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, IEEE, Piscataway, N.J., pp. 331-335.

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Title Factored state-abstract hidden Markov models for activity recognition using pervasive multi-modal sensors
Author(s) Tran, Dung T.
Phung, Dinh Q.ORCID iD for Phung, Dinh Q. orcid.org/0000-0002-9977-8247
Bui, Hung H.
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name Intelligent Sensors, Sensor Networks and Information Processing Conference (2005 : Melbourne, Vic.)
Conference location Melbourne, Vic.
Conference dates 5- 8 Dec. 2005
Title of proceedings Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference
Editor(s) [unknown]
Publication date 2005
Conference series Intelligent Sensors, Sensor Networks and Information Processing Conference
Start page 331
End page 335
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) hidden Markov Model
activity recognition
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 0780393996
9780780393998
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing 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
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044623

Document type: Conference Paper
Collections: School of Information Technology
Open Access Collection
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Scopus Citation Count Cited 6 times in Scopus
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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.