Abstract
Research on Ambient Intelligence (AmI) focuses on the development of smart environments adaptable to the needs and preferences of their inhabitants. For this reason it is important to understand and model user preferences. In this chapter we describe a system to detect user behavior patterns in an intelligent workplace. The system is designed for a workplace equipped in the context of \(Sensor_{9}k\), a project carried out at the Department of Computer Science at the University of Palermo (Italy).
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This work has been partially supported by the PO FESR 2007/2013 grant G73F11000130004 funding the SmartBuildings project.
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Augello, A., Gaglio, S. (2014). Detection of User Activities in Intelligent Environments. In: Gaglio, S., Lo Re, G. (eds) Advances onto the Internet of Things. Advances in Intelligent Systems and Computing, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-319-03992-3_2
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DOI: https://doi.org/10.1007/978-3-319-03992-3_2
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