Zhang, Shuai, McClean, SI, Scotney, BW, Hong, Xin, Nugent, CD and Mulvenna, MD (2008) Decision support for Alzheimer's patients in smart homes. In: 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS 2008), Jyvaskyla, Finland. UNSPECIFIED. 6 pp. [Conference contribution]
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Assistive technology in smart homes for elderly people with Alzheimer's disease is needed to support,aging in place'. In this paper, we propose a probabilistic learning approach to characterise behavioural patterns for multi-inhabitants in smart homes. Decision support is then provided to monitor and assist patients to complete activities of daily living (ADL). Reasoning is based on the learned profiles and partially observed low-level sensors information. Data are stored in the proposed snow-flake schema based on homeML (an XML based schema for representation of information within smart homes). A laboratory has been developed for studying activities of `making drinks' for multiple users. Evaluations of our learning and decision support approach are carried out on both real and simulated data. The potential of our approach to support assistive living and home-health monitoring of Alzheimer's patients is demonstrated.
|Item Type:||Conference contribution (Paper)|
|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:||29 Jan 2010 14:28|
|Last Modified:||15 Jun 2011 10:08|
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