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]
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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 > Smart Environments
Computer Science Research Institute > Information and Communication Engineering
|Deposited By:||Professor Bryan Scotney|
|Deposited On:||20 Jan 2010 15:27|
|Last Modified:||15 Jun 2011 10:08|
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