• DocumentCode
    3483374
  • Title

    Sign language recognition using sensor gloves

  • Author

    Mehdi, Syed Atif ; Khan, Yasir Niaz

  • Author_Institution
    FAST-Nat. Univ. of Comput. & Emerging Sci., Lahore, Pakistan
  • Volume
    5
  • fYear
    2002
  • fDate
    18-22 Nov. 2002
  • Firstpage
    2204
  • Abstract
    This paper examines the possibility of recognizing sign language gestures using sensor gloves. Previously sensor gloves are used in games or in applications with custom gestures. This paper explores their use in Sign Language recognition. This is done by implementing a project called "Talking Hands", and studying the results. The project uses a sensor glove to capture the signs of American Sign Language performed by a user and translates them into sentences of English language. Artificial neural networks are used to recognize the sensor values coming from the sensor glove. These values are then categorized in 24 alphabets of English language and two punctuation symbols introduced by the author. So, mute people can write complete sentences using this application.
  • Keywords
    data gloves; gesture recognition; language translation; natural languages; American Sign Language; English language; Talking Hands; artificial neural networks; custom gestures; mute people; punctuation symbols; sensor gloves; sensor values; sign language gestures; sign language recognition; Cameras; Deafness; Fingers; Handicapped aids; Magnetic field measurement; Magnetic sensors; Natural languages; Robot sensing systems; Shape; Thumb;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
  • Print_ISBN
    981-04-7524-1
  • Type

    conf

  • DOI
    10.1109/ICONIP.2002.1201884
  • Filename
    1201884