Visualization of data for ambient assisted living services

Authors:
M. Mulvenna;W. Carswell;P. Mccullagh;J. C. Augusto;Huiru Zheng;P. Jeffers;Haiying Wang;S. Martin
Affiliations:
Univ. of Ulster, Newtownabbey, UK;-;-;-;-;-;-;-
Venue:
IEEE Communications Magazine
Year:
2011

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Abstract

Ambient assisted living (AAL) 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 utilizing 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 article discusses visualization of data from the perspective of the needs of the differing end user groups, and discusses how algorithms are required to contextualize and convey information across location and time. In order to illustrate the issues, current work on nighttime AAL services for people with dementia is described.