Abstract
Automation of smart home for ambient assisted living is currently based on a widespread use of sensors. In this paper, we propose a monitoring system based on the semantic analysis of home automation logs (user requests). Our goal is to replace as many sensors as possible by using advanced tools to infer information usually sensored. To take up this challenge, an ontology, automatically derived from a model-driven process, firstly defines user-system interactions. Then, the use of rules allows an inference engine to deduce user location and intention leading to adapted service delivery.
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Allègre, W., Burger, T., Berruet, P., Antoine, JY. (2012). A Non-intrusive Monitoring System for Ambient Assisted Living Service Delivery. In: Donnelly, M., Paggetti, C., Nugent, C., Mokhtari, M. (eds) Impact Analysis of Solutions for Chronic Disease Prevention and Management. ICOST 2012. Lecture Notes in Computer Science, vol 7251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30779-9_19
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DOI: https://doi.org/10.1007/978-3-642-30779-9_19
Publisher Name: Springer, Berlin, Heidelberg
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