Sensors 2014, 14(3), 3833-3860; doi:10.3390/s140303833

Sensor Network Infrastructure for a Home Care Monitoring System

1,2,* email, 3email, 4email, 1email, 3email and 3
Received: 13 December 2013; in revised form: 8 February 2014 / Accepted: 21 February 2014 / Published: 25 February 2014
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: 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.
Keywords: middleware; sensor architecture; ambient assisted living; monitoring; elderly
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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.

AMA 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(3):3833-3860.

Chicago/Turabian Style

Palumbo, Filippo; Ullberg, Jonas; Štimec, Ales; Furfari, Francesco; Karlsson, Lars; Coradeschi, Silvia. 2014. "Sensor Network Infrastructure for a Home Care Monitoring System." Sensors 14, no. 3: 3833-3860.

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