Abstract
The goal of this paper is to discover human habits using the received sensors data-streams, in order to improve the energy efficiency. We propose a multi-agent architecture and a formalism to describe scenarios in ubiquitous environments based on a wireless sensors network. We have used sensor data and simulations about a four person family, to validate our prototype.
This work was partially supported by the Romanian project PNII nr.12-122/2008 ASISTSYS and nr. 12-118/2008 SCIPA.
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Aritoni, O., Negru, V. (2011). Human Behavior Analysis in Ubiquitous Environments for Energy Efficiency Improvement. In: Keyson, D.V., et al. Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25167-2_29
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DOI: https://doi.org/10.1007/978-3-642-25167-2_29
Publisher Name: Springer, Berlin, Heidelberg
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