Using interaction signatures to find and label chairs and floors Peursum, Patrick, Venkatesh, Svetha, West, Geoff A. W. and Bui, Hung Hai 2004, Using interaction signatures to find and label chairs and floors, IEEE pervasive computing, vol. 3, no. 4, pp. 58-65, doi: 10.1109/MPRV.2004.20. Attached Files Name Description MIMEType Size Downloads venkatesh-usinginteraction-2004.pdf Published version application/pdf 1.06MB 63 Title Using interaction signatures to find and label chairs and floors Author(s) Peursum, Patrick Venkatesh, Svetha West, Geoff A. W. Bui, Hung Hai Journal name IEEE pervasive computing Volume number 3 Issue number 4 Start page 58 End page 65 Total pages 8 Publisher IEEE Place of publication Piscataway, N. J Publication date 2004 ISSN 1536-1268 1558-2590 Summary The use of interaction signatures to recognize objects without considering the object's physical structure is discussed. Without object recognition, smart homes cannot make full use of video cameras because vision systems cannot provide object-related context to the human activities monitored. One important advantage of interaction signatures is that people frequently and repeatedly interact with household objects, so the system can build evidence for object locations and labels. 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. Language eng DOI 10.1109/MPRV.2004.20 Field of Research 080104 Computer Vision Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture) HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2004, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30044290 Document type: Journal Article Collections: School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Thu, 05 Apr 2012, 16:03:55 EST Wed, 18 Apr 2012, 13:06:24 EST Wed, 18 Apr 2012, 13:07:27 EST Wed, 18 Apr 2012, 14:55:50 EST Mon, 30 Apr 2012, 10:44:35 EST Tue, 16 Sep 2014, 15:08:40 EST Tue, 06 Sep 2016, 18:38:45 EST Sat, 17 Jun 2017, 03:10:01 EST Filtered Full Citation counts:   Cited 5 times in TR Web of Science Cited 8 times in Scopus Search Google Scholar Access Statistics: 221 Abstract Views, 63 File Downloads  -  Detailed Statistics Created: Thu, 05 Apr 2012, 16:03:55 EST

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.