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Semantic Data Management for Situation-aware Assistance in Ambient Assisted Living

Chen, Luke, Nugent, Chris D. and Al-Bashrawi, Ahmad (2009) Semantic Data Management for Situation-aware Assistance in Ambient Assisted Living. In: The 11th International Conference on Information Integration and Web-based Applications & Services (iiWAS2009), Kuala Lumpur, Malaysia. UNSPECIFIED. 8 pp. [Conference contribution]

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Smart Homes (SH) have emerged as a realistically viable solution capable of providing technology-driven assistive living for the elderly and disabled. Nevertheless, it still remains a challenge to provide situation-aware assistance for those in need in their Activity of Daily Living (ADL). This paper introduces a systematic approach to providing situation-aware ADL assistances in a smart home environment. The approach makes use of semantic technologies for sensor data modeling, fusion and management, thus creating machine understandable and processable situational data. It exploits intelligent agents for interpreting and reasoning semantic situational (meta)data to enhance situation-aware decision support. We analyze the nature and issues of SH-based healthcare for cognitively deficient inhabitants. We discuss the ways in which semantic technologies enhance situation comprehension. We describe a cognitive agent for realizing high-level cognitive capabilities such as prediction and explanation. We outline the implementation of a prototype assistive system and illustrate the proposed approach through simulated and real-time ADL assistance scenarios in the context of situation aware assistive living.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Smart Environments
ID Code:10228
Deposited By: Dr Liming Chen
Deposited On:29 Jan 2010 14:51
Last Modified:09 Dec 2015 10:42

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