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A hierarchical model-based system for discovering atypical behavior

Monekosso, Dorothy Ndedi

Authors

Dorothy Ndedi Monekosso



Abstract

In this paper, we describe a model-based system for context discovery and behavior modeling for the purpose of monitoring well-being. In modeling behavior in a smart home, the system must detect atypical (anomalous) patterns of behavior resulting from failure of equipment as well as those deviations resulting from significant variations atypical of the human inhabitant. In the context of a smart home, both situations require human intervention although the response will differ. The home is embedded with sensors that unobtrusively record various environmental parameters. Models of behavior are generated from the sensor data. These models are employed to infer atypical behavior. © 2008 IEEE.

Citation

Monekosso, D. N. (2008). A hierarchical model-based system for discovering atypical behavior. https://doi.org/10.1109/ICDIM.2008.4746832

Conference Name 3rd International Conference on Digital Information Management, ICDIM 2008
Conference Location London, UK
Start Date Nov 13, 2008
End Date Nov 13, 2008
Publication Date Dec 1, 2008
Peer Reviewed Not Peer Reviewed
Pages 881-886
ISBN 978-1-4244-2916-5
DOI https://doi.org/10.1109/ICDIM.2008.4746832
Keywords hierarchical, model-based system, atypical behavior
Public URL https://uwe-repository.worktribe.com/output/1007453
Publisher URL http://www.icdim.org/icdim2008/default.php
Additional Information Additional Information : isbn: 978-1-4244-2916-5
Title of Conference or Conference Proceedings : Third International Conference on Digital Information Management


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