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Towards evolutionary ambient assisted living systems

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Author(s)
O'Grady, Michael J. 
Muldoon, Conor 
Dragone, Mauro 
Tynan, Richard 
O'Hare, G. M. P. (Greg M. P.) 
Uri
http://hdl.handle.net/10197/1915
Date Issued
March 2010
Date Available
08T15:40:25Z April 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.
Sponsorship
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 livi...

  • Pervasive health

  • Middleware

  • Ambient intelligence

  • Multi-agent systems

Subject – LCSH
Technology and older people
Ambient intelligence
Middleware
Multiagent systems
DOI
10.1007/s12652-009-0003-5
Web versions
http://dx.doi.org/ 10.1007/s12652-009-0003-5
Language
English
Status of Item
Peer reviewed
ISSN
1868-5137 (Print)
1868-5145 (Online)
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
Owning collection
Computer Science Research Collection
Scopus© citations
68
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Feb 3, 2023
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