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Sensors 2014, 14(3), 3833-3860;

Sensor Network Infrastructure for a Home Care Monitoring System

ISTI, National Research Council, Area della Ricerca CNR, via G. Moruzzi 1, Pisa 56124 , Italy
Computer Science Department, University of Pisa, Largo B. Pontecorvo, 3, Pisa 56127, Italy
Centre for Applied Autonomous Sensor Systems, Örebro University, Örebro SE-701 82, Sweden
XLAB Research, XLAB d.o.o., Pot za Brdom 100, Ljubljana 1000, Slovenia
Author to whom correspondence should be addressed.
Received: 13 December 2013 / Revised: 8 February 2014 / Accepted: 21 February 2014 / Published: 25 February 2014
PDF [5087 KB, uploaded 21 June 2014]


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. View Full-Text
Keywords: middleware; sensor architecture; ambient assisted living; monitoring; elderly middleware; sensor architecture; ambient assisted living; monitoring; elderly

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Palumbo, F.; Ullberg, J.; Štimec, A.; Furfari, F.; Karlsson, L.; Coradeschi, S. Sensor Network Infrastructure for a Home Care Monitoring System. Sensors 2014, 14, 3833-3860.

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