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The Computer Journal Advance Access published online on November 9, 2007
The Computer Journal, doi:10.1093/comjnl/bxm078
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© The Author 2007. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Detection Of Normal and Novel Behaviours In Ubiquitous Domestic Environments

F. Rivera-illingworth*, V. Callaghan and H. Hagras

Computer Science Department, University of Essex, Wivenhoe Park CO4 3Q, UK

* Corresponding author: friver{at}essex.ac.uk

Received 23 February 2007; revised 14 August 2007

The importance of ubiquitous environments has increased in recent years as it has been recognized as a paradigm that can improve the quality of life of many sectors of the population especially care of elderly people by providing automated environments that adapt and respond to its inhabitants' needs. The aim of the work presented here is to provide a solution to the problem of recognition and detection of human behaviours inside ubiquitous environments by using a neural-network driven embedded agent working with online, real-time data from a network of unobtrusive low-level sensors. The final objective of this system was to classify a ‘normal’ pattern of activities, and sense deviations from it, which could be employed for home care applications.

Key Words: ubiquitous computing • activity recognition • intelligent environments • neural networks • activities of daily living


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