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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Multimodal Fusion for Interaction Systems

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Author Ahmad Wehbi, Atef Zaguia, Amar Ramdane-Cherif, Chakib Tadj
ISSN 2079-8407
On Pages 445-458
Volume No. 4
Issue No. 5
Issue Date June 01, 2013
Publishing Date June 01, 2013
Keywords Fusion, multimodal interaction, ontology, modalities, OWL API, fusion models


Abstract

Researchers in computer science and computer engineering devote now a significant part of their efforts in communication and interaction between human and machine. Indeed, with the advent of real-time multimodal and multimedia processing, computer is no longer seen only as a calculation tool, but as a machine of communication processing, a machine that accompanies, assists or promotes many activities in daily life. A multimodal interface allows a more flexible and natural interaction between a user and a computing system. It extends the capabilities of this system to better match the natural communication means of human beings. In such interactive system, fusion engines are the fundamental components that interpret input events whose meaning can vary according to a given context. Fusion of events from various communication sources, such as speech, pen, text, gesture, etc. allow the richness of human-machine interaction This research will allow a better understanding of the multimodal fusion and interaction, by the construction of a fusion engine using technologies of semantic web domain. The aim is to develop an expert fusion system for multimodal human-machine interaction that will lead to design a monitoring tool for normal persons, seniors and handicaps to ensure their support, at home or outside.
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