Multimodal continuous recognition system for greek sign language using various grammars

Authors:
Paschaloudi N. Vassilia;Margaritis G. Konstantinos
Affiliations:
Parallel and Distributed Processing Laboratory, Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece;Parallel and Distributed Processing Laboratory, Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece
Venue:
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Year:
2006

Citing 5
Cited 0

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Abstract

In this paper we present a multimodal Greek Sign Language (GSL) recognizer. The system can recognize either signs or finger-spelled words of GSL, forming sentences of GSL. A vocabulary of 54 finger-spelled words together with 17 signs, giving a total of 71 signs/words, is used. The system has been tested on various grammars and the recognition rates we achieved exceeded 89% in most cases.