Demo: efficient human attention detection in museums based on semantics and complex event processing

Yongchun Xu · Nenad Stojanović · Ljiljana Stojanović · Tobias Schuchert

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Museums and Cultural Heritage Conferences and Exhibitions Management Context-Aware Activity Recognition Systems

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. The detection takes advantage of semantics: (i) in design time for the correlation of sensors' data via modeling of the interesting situations and annotation of artworks and their parts and (ii) in real-time for the more accurate and precise detection of the interesting situation. The results of the proposed approach have been applied in the EU project ARtSENSE.

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