Barsocchi P., Crivello A., Mavilia F., Palumbo F.
Middleware Monitoring systems social interactions well-being Wireless Sensor Network
The increasing demand for building services and comfort levels, together with the increased time spent inside buildings, assures an upward trend in long-term monitoring system demand for the future. In this paper, we present the work done for designing added value human well-being services starting from a state-of-the-art continuous data gathering infrastructure. The paper presents the proposed energy and environmental long-term monitoring system that is able to measure both the energy consumed by end users and the environmental parameters in office environments. The paper shortly describes the general idea, then it focuses on the work done to create a well-being service on the top of the data gathering layer. In particular, it dwells on the deployment approach focusing on the description of the long-term monitoring system and providing preliminary results of the proposed real-time social interactions algorithm.
Source: State of the Art in AI Applied to Ambient Intelligence, pp. 91–108. Amsterdam: IOS Press, 2017
Publisher: IOS Press, Amsterdam, NLD
@inbook{oai:it.cnr:prodotti:384780, title = {Energy and environmental long-term monitoring system for inhabitants' well-being}, author = {Barsocchi P. and Crivello A. and Mavilia F. and Palumbo F.}, publisher = {IOS Press, Amsterdam, NLD}, doi = {10.3233/978-1-61499-804-4-91}, booktitle = {State of the Art in AI Applied to Ambient Intelligence, pp. 91–108. Amsterdam: IOS Press, 2017}, year = {2017} }