• DocumentCode
    671813
  • Title

    Recent developments in sign language recognition systems

  • Author

    Tolba, M.F. ; Elons, A.S.

  • Author_Institution
    Sci. Comput. Dept., Ain Shams Univ., Cairo, Egypt
  • fYear
    2013
  • fDate
    26-28 Nov. 2013
  • Abstract
    Automated translation systems for sign languages are important in a world that is showing a continuously increasing interest in removing barriers faced by physically challenged individuals in communicating and contributing to the society and the workforce. These systems can greatly facilitate the communication between the vocal and the nonvocal communities. For the hearing-impaired, such systems can serve as the equivalent of speech-recognition systems used by speaking people to interact with machines in a more natural way. Few research projects tried to develop a translation system from and to visual sign language. Very few of these attempts were on Arabic sign language. None of them succeeded to develop a reliable industrial product. This review explores these trials and proposes clear recommendations to convert the lab research to a real product useful to the community.
  • Keywords
    human computer interaction; natural language processing; sign language recognition; speech recognition; Arabic sign language; automated translation systems; hearing-impaired individual; industrial product; lab research; nonvocal community; physically challenged individuals; sign language recognition systems; speaking people; speech-recognition systems; visual sign language; Assistive technology; Biological neural networks; Cameras; Gesture recognition; Hidden Markov models; Sensors; Three-dimensional displays; Arabic Sign Language (ArSL); hand gesture; hand posture; movement transition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering & Systems (ICCES), 2013 8th International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4799-0078-7
  • Type

    conf

  • DOI
    10.1109/ICCES.2013.6707157
  • Filename
    6707157