A demo for efficient human attention detection based on semantics and complex event processing

Abstract

Abstract. In this paper we present a demo for efficient detecting of visitor’s attention in museum environment based on the application of intelligent complex event processing and semantic technologies. Semantics is used for the correlation of sensors’ data via modeling the interesting situation and the background knowledge used for annotation. Intelligent complex event processing enables the efficient real-time processing of sensor data and its logicbased nature supports a declarative definition of attention situations.