Ambient Intelligence for Monitoring Alzheimer Patients

Walid Bourennane, Yoann Charlon, Fehd Bettahar, Marie Chan, Daniel Esteve and Eric Campo
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Walid Bourennane: Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France
Yoann Charlon: Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France
Fehd Bettahar: Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France
Marie Chan: Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France
Daniel Esteve: Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France
Eric Campo: Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France

International Journal of E-Health and Medical Communications (IJEHMC), 2013, vol. 4, issue 1, 23-35

Abstract: Distributed sensors allow people to be followed in independent living situations. In this paper, the authors present a multisensor system which allows monitoring elderly people in hospital environment. The system is composed of motion infrared sensors installed in the ceiling, presence sensor in bed and ZigBee tags embedded on the person. From data collected on locations and movements of people, the system determines, through learning, the behavior model and lifestyle. Analysis and decision algorithm in integrated systems provide the functionality to choose actions in order to alert surveillance team and help them by providing historical events record. A web application is also set up to display results of data processing allowing caregivers to monitor patient behavior. Here, they present the system architecture, the technology used, and some preliminary results.

Date: 2013
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International Journal of E-Health and Medical Communications (IJEHMC) is currently edited by Joel J.P.C. Rodrigues

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