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 Sensor9k, a project carried out at the Department of Computer Science at the University of Palermo (Italy).
Augello, A., Gaglio, S. (2014). Detection of User Activities in Intelligent Environments. In S. Gaglio, G. Lo Re (a cura di), Advances onto the Internet of Things (pp. 19-32). Springer [10.1007/978-3-319-03992-3_2].
Detection of User Activities in Intelligent Environments
GAGLIO, Salvatore
2014-01-01
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 Sensor9k, a project carried out at the Department of Computer Science at the University of Palermo (Italy).
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