Cognitive assisted living ambient system: a survey

Ruijiao Li; Bowen Lu; Klaus D. McDonald-Maier

doi:10.1016/j.dcan.2015.10.003

Digital Communications and Networks (Nov 2015)

Cognitive assisted living ambient system: a survey

Ruijiao Li,
Bowen Lu,
Klaus D. McDonald-Maier

Affiliations

Ruijiao Li: School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom
Bowen Lu: School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom
Klaus D. McDonald-Maier: School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom

DOI: https://doi.org/10.1016/j.dcan.2015.10.003
Journal volume & issue: Vol. 1, no. 4
pp. 229 – 252

Abstract

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The demographic change towards an aging population is creating a significant impact and introducing drastic challenges to our society. We therefore need to find ways to assist older people to stay independently and prevent social isolation of these population. Information and Communication Technologies (ICT) provide various solutions to help older adults to improve their quality of life, stay healthier, and live independently for a time. Ambient Assisted Living (AAL) is a field to investigate innovative technologies to provide assistance as well as healthcare and rehabilitation to impaired seniors. The paper provides a review of research background and technologies of AAL.

Published in Digital Communications and Networks

ISSN: 2352-8648 (Online)
Publisher: KeAi Communications Co., Ltd.
Country of publisher: China
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology
Website: https://www.keaipublishing.com/en/journals/digital-communications-and-networks/

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