Towards evolutionary ambient assisted living systems

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Title: Towards evolutionary ambient assisted living systems
Authors: O'Grady, Michael J.
Muldoon, Conor
Dragone, Mauro
Tynan, Richard
O'Hare, G. M. P. (Greg M. P.)
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Date: Mar-2010
Abstract: Ambient Assisted Living (AAL) is advocated as technological solutions that will enable the elderly population maintain their independence for a longer time than would otherwise be the case. Though the facts motivating the need for AAL are indisputable, the inherently heterogeneous nature and requirements of the elderly population raise significant difficulties. One particular challenge is that of designing AAL systems that can evolve to meet the requirements of individuals as their needs and circumstances change. This demands the availability of an adaptive, open, scalable software platform that incorporates a select combination of autonomic and intelligent techniques. Given that the first generation of AAL systems will be deployed in the near future, it is incumbent on designers to factor this need for evolution and adaptivity in their designs and implementations. Thus this paper explores AAL from a number of prospective and considers an agent-based middleware approach to realising an architecture for evolutionary AAL.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Springer
Journal: Journal of Ambient Intelligence and Humanized Computing
Volume: 1
Issue: 1
Start page: 15
End page: 29
Keywords: Ambient assisted living (AAL)Pervasive healthMiddlewareAmbient intelligenceMulti-agent systems
Subject LCSH: Technology and older people
Ambient intelligence
Multiagent systems
DOI: 10.1007/s12652-009-0003-5
Other versions: 10.1007/s12652-009-0003-5
Language: en
Status of Item: Peer reviewed
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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