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Using a Signing Avatar as a Sign Language Research Tool

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Multimodal Signals: Cognitive and Algorithmic Issues

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5398))

Abstract

The first section of this paper introduces the Hamnosys/Visicast signing avatar, which has been designed to produce individual signs and sentences in a number of different sign languages. The operating systems which underlie the avatar are described in detail. The second part of the paper describes a research project which aims to use the avatar’s properties to develop a toolkit for sign language research.

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References

  1. Keehner, M., Gathercole, S.E.: Cognitive adaptations arising from nonnative experience of sign language in hearing adults. Memory & Cognition 35(4), 752–761 (2007)

    Article  Google Scholar 

  2. MacSweeney, M., Capek, C., Campbell, R., Woll, B.: The Signing Brain: The Neurobiology of Sign Language. Trends in Cognitive Science (in press, November 2008)

    Google Scholar 

  3. Woll, B.: How the Brain processes language in different modalities. In: Esposito, A., Hussain, A., Marinaro, M., Martone, R. (eds.) Multimodal Signals. LNCS (LNAI), vol. 5398, pp. 145–163. Springer, Heidelberg (2008)

    Google Scholar 

  4. Sutton-Spence, R.L., Woll, B.: The Linguistics of British Sign Language: an introduction. Cambridge University Press, Cambridge (1999)

    Book  Google Scholar 

  5. Prillwitz, S., Leven, R., Zienert, H., Hanke, T., Henning, J.: HamNoSys. Version 2.0. Hamburg Notation System for Sign Languages - An Introductory Guide. Signum Press, Hamburg (1989)

    Google Scholar 

  6. Takkinen, R.: Some Observations on the Use of HamNoSys (Hamburg Notation System for Sign Languages) in the Context of the Phonetic Transcription of Children’s Signing. Sign Lang Ling 1:8(2), 99–118 (2005)

    Article  Google Scholar 

  7. eSIGN annual report (2003), http://www.sign-lang.uni-hamburg.de/eSIGN/AnnualReport2003/Editor2003/Editor2003.html

  8. eSIGN annual report (2003), http://www.sign-lang.uni-hamburg.de/eSIGN/AnnualReport2003/Editor2003/CLs.html

  9. Animating Sign Language: The eSign Approach, http://www.visicast.sys.uea.ac.uk/Papers/eSIGNApproach.pdf

  10. Elliott, R., Glauert, J.R.W., Kennaway, J.R., Marshall, I.: Development of language processing support for the ViSiCAST project. In: ASSETS 2000, 4th International ACM SIGCAPH Conference on Assistive Technologies (2000)

    Google Scholar 

  11. Elliott, R., Glauert, J.R.W., Kennaway, J.R., Parsons, K.J.: D5-2: SigML Definition VisiCAST Project Working Document (2001)

    Google Scholar 

  12. Glauert, J.R.W.: ViSiCAST Sign Language using Virtual Humans. In: ICAT 2002, International Conference on Assistive Technology, pp. 21–22 (2002)

    Google Scholar 

  13. Kennaway, R.: 5th International Workshop on Gesture and Sign Language based Humman-Computer Interaction, Genova, Italy (April 2003)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Nelson, D. (2009). Using a Signing Avatar as a Sign Language Research Tool. In: Esposito, A., Hussain, A., Marinaro, M., Martone, R. (eds) Multimodal Signals: Cognitive and Algorithmic Issues. Lecture Notes in Computer Science(), vol 5398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00525-1_8

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  • DOI: https://doi.org/10.1007/978-3-642-00525-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00524-4

  • Online ISBN: 978-3-642-00525-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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