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OutCare : supporting dementia patients in outdoor scenarios.
Date Issued
2010-09
Date Available
2010-11-24T16:24:45Z
Abstract
Ambient Intelligence (AmI) is a profound vision of computing power that is invisibly embedded into the fabric of everyday life. It is accessible through intelligent interfaces which are so natural that they can be used unconsciously. The increasing maturity, performance and miniaturization of processors, networking technologies and wireless sensor networks enable a move towards pervasive computing, ubiquitous connectivity and adaptive software. The Intelligent Agent paradigm has proven itself to be a promising branch of Artificial Intelligence (AI), complementing the pervasive trend of network engineering. One of the possible usages of AmI is Ambient Assisted Living (AAL) which attempts to utilize appropriate technologies to support citizens in living in their preferred environment independently, for a longer period of time than may otherwise be the case. This paper proposes an AAL solution for Alzheimer’s patients based on the intelligent agent platform, exploring the practical delivery of intelligent environments that are sensitive and responsive to the patients, supporting them in performing daily activities and tasks in a natural, unobtrusive way.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
2010, Springer
Subject – LCSH
Ubiquitous computing
Ambient intelligence
Alzheimer's disease--Treatment--Technological innovations
Technology and older people
Intelligent agents (Computer software)
Language
English
Status of Item
Peer reviewed
Journal
Setchi, R. et al. (eds.). Knowledge-Based and Intelligent Information & Engineering Systems : 14th International Conference, KES 2010, Cardiff, UK, September 2010 : Proceedings. Part IV
Conference Details
Paper presented at the 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Cardiff, Wales, 8-10 September 2010
ISBN
978-3-642-15383-9
This item is made available under a Creative Commons License
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kes_jie_wan.pdf
Size
418.86 KB
Format
Adobe PDF
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