A hierarchical model-based system for discovering atypical behavior

Monekosso, Dorothy Ndedi

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.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 3rd International Conference on Digital Information Management, ICDIM 2008
• 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• Peer Reviewed: Not Peer Reviewed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