• DocumentCode
    3357238
  • Title

    Sign Language Processing and Interactive Tools for Sign Language Education

  • Author

    Aran, Oya ; Akarun, Lale

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Bogazici Univ., Istanbul, Turkey
  • fYear
    2007
  • fDate
    11-13 June 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Sign language is the primary means of communication for deaf and mute people. In this language, not only hand gestures but also head and body movements and facial expressions are used to convey information. Sign language analysis is an important field of research in computer vision, natural language processing, linguistics and psychology. In this work we present an overview of sign language analysis and recognition techniques and their application to develop interactive tools for sign language education.
  • Keywords
    biocommunications; computer aided instruction; gesture recognition; handicapped aids; interactive systems; deaf people; interactive tool; mute people; sign language analysis; sign language education; sign language recognition; Application software; Computer science education; Computer vision; Deafness; Handicapped aids; Histograms; Internet; Natural language processing; Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
  • Conference_Location
    Eskisehir
  • Print_ISBN
    1-4244-0719-2
  • Electronic_ISBN
    1-4244-0720-6
  • Type

    conf

  • DOI
    10.1109/SIU.2007.4298840
  • Filename
    4298840