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Nugent, Chris D., Galway, Leo, Chen, Liming, Donnelly, Mark, McClean, Sally L., Zhang, Shuai, Scotney, Bryan W. and Parr, Gerard 
ORCID: https://orcid.org/0000-0002-9365-9132
(2011)
Managing sensor data in ambient assisted living.
Journal of Computer Science and Engineering, 5 (3).
pp. 237-245.
Abstract
The use of technology within the home has gained wide spread acceptance as one possible approach to be used in addressing the challenges of an ageing society. A number of rudimentary assistive solutions are now being deployed in real settings but with the introduction of these technology-orientated services come a number of challenges, which to date are still largely unsolved. At a fundamental level, the management and processing of the large quantities of data generated from multiple sensors is recognised as one of the most significant challenges. This paper aims to present an overview of the types of sensor technologies used within Ambient Assisted Living. Subsequently, through presentation of a series of case studies, the paper will demonstrate how the practical integration of multiple sources of sensor data can be used to improve the overall concept and applications of Ambient Assisted Living.
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory Faculty of Science > Research Groups > Data Science and AI |
| Depositing User: | Pure Connector |
| Date Deposited: | 15 Nov 2016 17:00 |
| Last Modified: | 10 Dec 2024 01:28 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/61368 |
| DOI: | 10.5626/JCSE.2011.5.3.237 |
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