title: Sensor network infrastructure for a home care monitoring system.
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.
authors.affiliation: ISTI, National Research Council, Area della Ricerca CNR, via G. Moruzzi 1, Pisa 56124 , Italy. filippo.palumbo@isti.cnr.it.
authors.forename: Filippo
authors.initials: F
authors.lastname: Palumbo
authors.affiliation: Centre for Applied Autonomous Sensor Systems, Örebro University, Örebro SE-701 82, Sweden. jonas.ullberg@oru.se.
authors.forename: Jonas
authors.initials: J
authors.lastname: Ullberg
authors.affiliation: XLAB Research, XLAB d.o.o., Pot za Brdom 100, Ljubljana 1000, Slovenia. ales.stimec@xlab.si.
authors.forename: Ales
authors.initials: A
authors.lastname: Stimec
authors.affiliation: ISTI, National Research Council, Area della Ricerca CNR, via G. Moruzzi 1, Pisa 56124 , Italy. francesco.furfari@isti.cnr.it.
authors.forename: Francesco
authors.initials: F
authors.lastname: Furfari
authors.affiliation: Centre for Applied Autonomous Sensor Systems, Örebro University, Örebro SE-701 82, Sweden. lars.karlsson@oru.se.
authors.forename: Lars
authors.initials: L
authors.lastname: Karlsson
authors.affiliation: Centre for Applied Autonomous Sensor Systems, Örebro University, Örebro SE-701 82, Sweden. silvia.coradeschi@oru.se.
authors.forename: Silvia
authors.initials: S
authors.lastname: Coradeschi
mesh_terms: D006699:Home Care Services; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D012371:Robotics; D012984:Software; D013686:Telemetry / Q000295:instrumentation*