Tracking Functional Decline using Ambient Intelligence for Alzheimer's Patients

Book chapter

Lee, Sin Wee, Naeem, U., Anthony, Richard, Tawil, A., Azam, Muhammad Awais and Preston, David 2014. Tracking Functional Decline using Ambient Intelligence for Alzheimer's Patients. in: Dogru, Ali H. and Suh, Sang (ed.) Proceedings of the 19th International Conference on Transformative Science and Engineering, Business and Social Innovation Society for Design and Process Science. pp. 107-116
AuthorsLee, Sin Wee, Naeem, U., Anthony, Richard, Tawil, A., Azam, Muhammad Awais and Preston, David
EditorsDogru, Ali H. and Suh, Sang
Abstract

In a ubiquitous world we are surrounded by context sensitive information and smart devices that are able to capture information about our surroundings unobtrusively. Making use of such rich information can enable recognition of activities conducted by elderly users, and in turn can allow the possibility of tracking any functional decline. This paper describes an approach on making use of such rich information to enable recognition of activities conducted by elderly users, and in turn facilitate the possibility of tracking any functional decline. It will highlight the current methods for unobtrusively recognising activities of daily living within a home environment for Alzheimer’s patients, which is followed by a proposed taxonomy of the key characteristics that are required for robust activity recognition within a smart environment.

Book titleProceedings of the 19th International Conference on Transformative Science and Engineering, Business and Social Innovation
Page range107-116
Year2014
PublisherSociety for Design and Process Science
Publication dates
Print2014
Publication process dates
Deposited09 Nov 2018
EventSDPS 2014 World Conference
Web address (URL)https://www.sdpsnet.org/sdps/documents/sdps-2014/SDPS2014_END_V2.pdf
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