Cart (Loading....) | Create Account
Close category search window
 

A hierarchical model-based system for discovering atypical behavior

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Monekosso, D.N. ; CISM, Kingston Univ., London

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.

Published in:

Digital Information Management, 2008. ICDIM 2008. Third International Conference on

Date of Conference:

13-16 Nov. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.