Managing sensor data in ambient assisted living

Chris D. Nugent, Leo Galway, Liming Chen, Mark Donnelly, Sally L. McClean, Shuai Zhang, Bryan W. Scotney, Gerard Parr

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)237-245
Number of pages9
JournalJournal of Computer Science and Engineering
Issue number3
Publication statusPublished - Sep 2011

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