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Barsocchi P., Crivello A., Mavilia F., Palumbo F. Energy and environmental long-term monitoring system for inhabitants' well-being. Asier Aztiria, Juan Carlos Augusto, Andrea Orlandini (eds.). (Frontiers in Artificial Intelligence and Applications, vol. 298). Amsterdam: IOS Press, 2017.
 
 
Abstract
(English)
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.
URL: http://ebooks.iospress.nl/volumearticle/47658
DOI: 10.3233/978-1-61499-804-4-91
Subject Monitoring systems
Middleware
Wireless Sensor Network
Well-being
Social interactions
I.4.8 IMAGE PROCESSING AND COMPUTER VISION. Scene Analysis


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