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Journal of Sensors
Volume 2013, Article ID 510126, 15 pages
Research Article

AAL Middleware Infrastructure for Green Bed Activity Monitoring

1ISTI-CNR, Pisa Research Area, Via G.Moruzzi 1, 56124 Pisa, Italy
2Computer Science Department, University of Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy

Received 8 February 2013; Revised 19 June 2013; Accepted 20 June 2013

Academic Editor: Ignacio Matias

Copyright © 2013 Filippo Palumbo et al. 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.


This paper describes a service-oriented middleware platform for ambient assisted living and its use in two different bed activity services: bedsore prevention and sleeping monitoring. A detailed description of the middleware platform, its elements and interfaces, as well as a service that is able to classify some typical user's positions in the bed is presented. Wireless sensor networks are supposed to be widely deployed in indoor settings and on people's bodies in tomorrow's pervasive computing environments. The key idea of this work is to leverage their presence by collecting the received signal strength measured among fixed general-purpose wireless sensor devices, deployed in the environment, and wearable ones. The RSS measurements are used to classify a set of user's positions in the bed, monitoring the activities of the user, and thus supporting the bedsores and the sleep monitoring issues. Moreover, the proposed services are able to decrease the energy consumption by exploiting the context information coming from the proposed middleware.