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An approach to data fusion for context awareness
conference contribution
posted on 2005-01-01, 00:00 authored by A Padovitz, Seng LokeSeng Loke, Arkady ZaslavskyArkady Zaslavsky, B Burg, C BartoliniWe propose and develop an approach modeled with multi-attribute utility theory for sensor fusion in context-aware environments. Our approach is distinguished from existing general purpose fusion techniques by a number of factors including a general underlying context model it is built upon and a set of heuristics it covers. The technique is developed for context-aware applications and we argue that it provides various advantages for data fusion in context-aware scenarios. We experimentally evaluate our approach with actual use cases using real sensors. © Springer-Verlag Berlin Heidelberg 2005.
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Volume
3554 LNAIPagination
353 - 367Publisher DOI
ISSN
0302-9743eISSN
1611-3349ISBN-13
9783540269243ISBN-10
354026924XPublication classification
E1.1 Full written paper - refereedTitle of proceedings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Usage metrics
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