2014
Journal article  Open Access

Sensor network infrastructure for a home care monitoring system

Palumbo F., Ullberg J., ?timec A., Furfari F., Karlsson L., Coradeschi S.

elderly  Article  and Optics  Instrumentation  sensor architecture  Biochemistry  monitoring  Middleware  Atomic and Molecular Physics  Electrical and Electronic Engineering  Analytical Chemistry  Ambient Assisted Living (AAL)  Sensor Network  Computer Sciences  ambient assisted living  Datavetenskap (datalogi)  middleware 

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.

Source: Sensors (Basel) 14 (2014): 3833–3860. doi:10.3390/s140303833

Publisher: Molecular Diversity Preservation International (MDPI),, Basel


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Bonato, P.. Wearable Sensors and Systems. IEEE Eng. Med. Biol. Mag.. 2010; 29: 25-36
Lymberis, A., Paradiso, R.. Smart Fabrics and Interactive Textile Enabling Wearable Personal Applications: R&D State of the Art and future Challenges. : 5270-5273
Wartena, F., Muskens, J., Schmitt, L., Petkovic, M.. Continua: The Reference Architecture of a Personal Telehealth Ecosystem. : 1-6
Schmitt, L., Falck, T., Wartena, F., Simons, D.. Novel ISO/IEEE 11073 Standards for Personal Telehealth Systems Interoperability. : 146-148
Amoretti, M., Wientapper, F., Furfari, F., Lenzi, S., Chessa, S.. Sensor Data Fusion for Activity Monitoring in Ambient Assisted Living Environments. Sensor Systems and Software. 2010: 206-221
Girolami, M., Lenzi, S., Furfari, F., Chessa, S.. Sail: A Sensor Abstraction and Integration Layer for Context Awareness. : 374-381
Gu, T., Pung, H.K., Zhang, D.Q.. Toward an OSGi-based infrastructure for context-aware applications. IEEE Pervasive Comput.. 2004; 3: 66-74
Cesta, A., Coraci, L., Cortellessa, G., Benedictis, R.D., Orlandini, A., Palumbo, F., Stimec, A.. Steps Toward End-to-End Personalized AAL Services. : 78-89
Ram, R., Furfari, F., Girolami, M., Ibaez-Snchez, G., Lzaro-Ramos, J.P., Mayer, C., Prazak-Aram, B., Zentek, T., Berlo, A., Hallenborg, K., Rodrguez, J.M.C., Tapia, D.I., Novais, P.. UniversAAL: Provisioning Platform for AAL Services. Ambient Intelligence—Software and Applications. 2013; Volume 219: 105-112
Tazari, M.R., Furfari, F., Ramos, J.P., Ferro, E., Nakashima, H., Aghajan, H., Augusto, J.. The PERSONA Service Platform for AAL Spaces. Handbook of Ambient Intelligence and Smart Environments. 2010: 1171-1199
Palumbo, F., Barsocchi, P., Furfari, F., Ferro, E.. AAL middleware infrastructure for green bed activity monitoring. J. Sens.. 2013; 2013: 1-15
Hunkeler, U., Truong, H.L., Stanford-Clark, A.. MQTT-S A Publish/Subscribe Protocol for Wireless Sensor Networks. : 791-798
Eugster, P.T., Felber, P.A., Guerraoui, R., Kermarrec, A.M.. The many faces of publish/subscribe. ACM Comput. Surv.. 2003; 35: 114-131
Allen, J.F.. Maintaining Knowledge about Temporal Intervals. ACM Commun.. 1983; 26: 832-843
Ullberg, J., Loutfi, A., Pecora, F.. Towards Continuous Activity Monitoring with Temporal Constraints.
Pecora, F., Cirillo, M., Dell'Osa, F., Ullberg, J., Saffiotti, A.. A Constraint-Based Approach for Proactive, Context-Aware Human Support. J. Ambient Intell. Smart Environ.. 2012; 4: 347-367
Mansouri, M.. Constraint-Based Activity Recognition with Uncertainty. M.Sc. Thesis. 2011
Ullberg, J., Pecora, F.. Propagating Temporal Constraints on Sets of Intervals.
Dousson, C., Maigat, P.L.. Chronicle Recognition Improvement Using Temporal Focusing and Hierarchization. : 324-329
Girolami, M., Palumbo, F., Furfari, F., Chessa, S.. The Integration of ZigBee with the GiraffPlus Robotic Framework. Evolving Ambient Intelligence. 2013: 86-101
Palumbo, F., Barsocchi, P., Gallicchio, C., Chessa, S., Micheli, A., Bota, J., lvarez Garca, J., Fujinami, K., Barsocchi, P., Riedel, T.. Multisensor Data Fusion for Activity Recognition Based on Reservoir Computing. Evaluating AAL Systems Through Competitive Benchmarking. 2013; Volume 386: 24-35
Tapia, E.M., Intille, S.S., Larson, K.. Activity Recognition in the Home Using Simple and Ubiquitous Sensors. 2004

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BibTeX entry
@article{oai:it.cnr:prodotti:278611,
	title = {Sensor network infrastructure for a home care monitoring system},
	author = {Palumbo F. and Ullberg J. and ?timec A. and Furfari F. and Karlsson L. and Coradeschi S.},
	publisher = {Molecular Diversity Preservation International (MDPI),, Basel },
	doi = {10.3390/s140303833},
	journal = {Sensors (Basel)},
	volume = {14},
	pages = {3833–3860},
	year = {2014}
}

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Combing social interaction and long term monitoring for promoting independent living


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