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Uncertain Information Management for ADL Monitoring in Smart Homes

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Hong, X, Nugent, CD, Liu, W, Ma, J, McClean, SI, Scotney, BW and Mulvenna, MD (2009) Uncertain Information Management for ADL Monitoring in Smart Homes. In: Intelligent Patient Management. (Eds: McClean, SI, Millard, P, El-Darzi, E and Nugent, CD), Springer, pp. 315-332. ISBN 978-3-642-00178-9 [Book section]

Full text not available from this repository.

URL: http://www.springerlink.com/content/m814875688n84360/

DOI: 10.1007/978-3-642-00179-6_19

Abstract

Smart Homes offer improved living conditions and levels of independence for the elderly population who require support with both physical and cognitive functions. Sensor technology development and communication networking have been well explored within the area of smart living environments to meet the demands for ageing in place. In contrast, information management still faces a challenge to be practically sound. In our current research we deploy the Dempster-Shafer theory of evidence to represent and reason with uncertain sensor data along with revision and merging techniques to resolve inconsistencies among information from different sources. We present a general framework for sensor information fusion and knowledge revision/merging especially for monitoring activities of daily living in a smart home.

Item Type:Book section
Keywords:Smart sensorised living environment; uncertainty; information fusion; belief revision; belief merging; DS theory; epistemic state; ordinal conditional function
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Smart Environments
ID Code:9085
Deposited By:Professor Bryan Scotney
Deposited On:20 Jan 2010 15:27
Last Modified:15 Jun 2011 11:08

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