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Visualization of Data for Ambient Assisted Living Services

Mulvenna, Maurice, Carswell, William, McCullagh, PJ, Augusto, JC, Zheng, H, Jeffers, Paul, Wang, HY and Martin, Suzanne (2011) Visualization of Data for Ambient Assisted Living Services. IEEE Communications Magazine, 49 (1). pp. 110-117. [Journal article]

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URL: http://dl.comsoc.org/livepubs/ci1/public/2011/jan/index.html

DOI: 10.1109/MCOM.2011.5681023

Abstract

Ambient assisted living services that provide support for people to remain in their homes are increasingly being used in healthcare systems around the world. Typically, these ambient assisted living services provide additional information though location-awareness, presence-awareness and context-awareness capabilities, arising from the prolific use of telecommunications devices including sensors and actuators in the home of the person receiving care. In addition there is a need to provide abstract information, in context, to local and remote stakeholders. There are many different viewing options utilising converged networks and the resulting explosion in data and information has resulted in a new problem, as these new ambient assisted living services struggle to convey meaningful information to different groups of end users. The paper discusses visualization of data from the perspective of the needs of the differing end user groups, and discusses how algorithms are required to contextualise and conveys information across location and time. In order to illustrate the issues, current work on night-time AAL services for people with dementia is described.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Life and Health Sciences > School of Health Sciences
Research Institutes and Groups:Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
Computer Science Research Institute
Computer Science Research Institute > Smart Environments
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:16838
Deposited By: Professor Maurice Mulvenna
Deposited On:12 Jan 2011 13:55
Last Modified:09 Dec 2015 10:53

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