A multisensor system for Ambient Intelligence applications

In this paper a complete architecture for Ambient Intelligence applications is presented. In particular the role of Data Fusion is shown to be performing to integrate heterogeneous information at different levels of abstraction. An Event Analysis method is presented in order to classify human activities within environments of interest whereas a location estimation method based on visual data is described in terms of logic functional architecture.