A Demo for Efficient Human Attention Detection Based on Semantics and Complex Event Processing View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015-04-21

AUTHORS

Yongchun Xu , Ljiljana Stojanovic , Nenad Stojanovic , Tobias Schuchert

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 logic-based nature supports a declarative definition of attention situations. More... »

PAGES

413-418

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-46641-4_37

DOI

http://dx.doi.org/10.1007/978-3-662-46641-4_37

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017025518


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