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Sensor Network Infrastructure for a Home Care Monitoring System
Area Ric CNR, ISTI, Natl Res Council, Pisa, Italy; Univ Pisa, Dept Comp Sci, I-56127 Pisa, Italy.
Örebro University, School of Science and Technology. (AASS)
XLAB Doo, XLAB Res, Ljubljana 1000, Slovenia.
Area Ric CNR, ISTI, Natl Res Council, Pisa, Italy.
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2014 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 14, no 3, 3833-3860 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents the sensor network infrastructure for a home care system that allows long-term monitoring of physiological data and everyday activities. The aim of the proposed system is to allow the elderly to live longer in their home without compromising safety and ensuring the detection of health problems. The system offers the possibility of a virtual visit via a teleoperated robot. During the visit, physiological data and activities occurring during a period of time can be discussed. These data are collected from physiological sensors (e.g., temperature, blood pressure, glucose) and environmental sensors (e.g., motion, bed/chair occupancy, electrical usage). The system can also give alarms if sudden problems occur, like a fall, and warnings based on more long-term trends, such as the deterioration of health being detected. It has been implemented and tested in a test environment and has been deployed in six real homes for a year-long evaluation. The key contribution of the paper is the presentation of an implemented system for ambient assisted living (AAL) tested in a real environment, combining the acquisition of sensor data, a flexible and adaptable middleware compliant with the OSGistandard and a context recognition application. The system has been developed in a European project called GiraffPlus.

Place, publisher, year, edition, pages
Basel: MDPI AG , 2014. Vol. 14, no 3, 3833-3860 p.
Keyword [en]
middleware; sensor architecture; ambient assisted living; monitoring; elderly
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-34124DOI: 10.3390/s140303833ISI: 000336783300002PubMedID: 24573309Scopus ID: 2-s2.0-84896864841OAI: oai:DiVA.org:oru-34124DiVA: diva2:704187
Funder
EU, FP7, Seventh Framework Programme, 288173
Available from: 2014-03-11 Created: 2014-03-11 Last updated: 2017-10-18Bibliographically approved

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