This paper proposes a novel architecture for multisensor data fusion in the context of Ambient Intelligence (AmI). The proposed system integrates an heterogeneous network of sensors with CCD cameras and computational units working together in a LAN. Activities of humans interacting in the monitored area are detected and classified by combining sensors data output with a neural method.
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