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Multimodal Continuous Recognition System for Greek Sign Language Using Various Grammars

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Advances in Artificial Intelligence (SETN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3955))

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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.

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Author information

Authors and Affiliations

  1. Parallel and Distributed Processing Laboratory, Department of Applied Informatics, University of Macedonia, 156 Egnatia str., P.O. BOX 1591, 54006, Thessaloniki, Greece

    Paschaloudi N. Vassilia & Margaritis G. Konstantinos

Authors
  1. Paschaloudi N. Vassilia
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  2. Margaritis G. Konstantinos
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Editor information

Editors and Affiliations

  1. Computer Science Department of University of Crete, Greece

    Grigoris Antoniou

  2. Institute of Computer Science, Foundation for Research & Technology – Hellas (FORTH), Vassilika Vouton, P.O. Box 1385, 71110, Heraklion, Greece

    George Potamias

  3. Institute of Informatics and Telecommunications, NCSR "Demokritos", 15310 A., Paraskevi Attikis, Greece

    Costas Spyropoulos

  4. Institute of Computer Science, FO.R.T.H., Vassilika Vouton, P.O. Box 1385, GR 71110, Heraklion, Greece

    Dimitris Plexousakis

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© 2006 Springer-Verlag Berlin Heidelberg

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Vassilia, P.N., Konstantinos, M.G. (2006). Multimodal Continuous Recognition System for Greek Sign Language Using Various Grammars. In: Antoniou, G., Potamias, G., Spyropoulos, C., Plexousakis, D. (eds) Advances in Artificial Intelligence. SETN 2006. Lecture Notes in Computer Science(), vol 3955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752912_74

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  • DOI: https://doi.org/10.1007/11752912_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34117-8

  • Online ISBN: 978-3-540-34118-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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