'Context' is defined as 'any information that can be used to characterize the situation of an entity'. Nowadays, the increasing availability of communication networks, the miniaturization and progressive reduction in the cost of sensors and the penetration of advanced mobile personal devices make possible to collect and process data from multiple sources and combine them in order to automatically infer knowledge about the user's situation.

Integrating Multicamera Surveillance Systems into Multiagent Location Systems.- Evaluating Manifold Learning Methods and DiscriminativeSequence Classifiers in View-Invariant Action Recognition.- Physical Actions Architecture: Context-Aware Activity Recognition in Mobile Devices.- Context-Aware Conversational Agents Using POMDPs
and Agenda-Based Simulation.- Multi-camera Control and Video Transmission Architecture for Distributed Systems.- A Structured Representation to the Group Behavior Recognition Issue.- Opportunistic Multi-sensor Fusion for Robust Navigation in Smart Environments.- Automatically Updating a Dynamic Region Connection Calculus for Topological Reasoning.- A Bayesian Strategy to Enhance the Performance of Indoor Localization Systems.- A Low Power Routing Algorithm for Localization in IEEE 802.15.4 Networks.- Ambient Intelligence Acceptable by the Elderly: Rational Choice Theory Model of Technology Evaluation for Deep Design.- Radio Emitters Location through the Use of Matrix-Pencil
Super-Resolution Algorithm.