Sensor data fusion for activity monitoring in ambient assisted living environments

We illustrate the PERSONA context-awareness framework applied to a ma jor problem in Ambient Intelligence, namely user activ- ity monitoring, that requires to infer new knowledge from collected and fused sensor data, dealing with highly dynamic environments where de- vices continuously change their availability and (or) physical location. We describe the Sensor Abstraction and Integration Layer (SAIL), we intro- duce the Human Posture Classification component, which is one partic- ular context information provider, and finally we describe the Activity Monitor, which is a reasoner that delivers aggregated/derived context events in terms of the context ontology.