• DocumentCode
    3484854
  • Title

    Virtual Talk for Deaf, Mute, Blind and Normal Humans

  • Author

    Vikram Sharma, M. ; Vinay Kumar, N. ; Masaguppi, Shruti C. ; Suma, M.N. ; Ambika, D.R.

  • fYear
    2013
  • fDate
    4-6 April 2013
  • Firstpage
    316
  • Lastpage
    320
  • Abstract
    In the today´s world there are many disabled people (deaf, mute, blind, etc) who face lot of problems when they try to communicate with other. Previously developed devices did not implement any general solution. This paper describes a new method of developing wearable sensor gloves for detecting hand gestures which uses British and Indian sign language system. The outputs are produced in the text format using LCD and audio format using APR9600 module. The hand gesture or the hand signs are converted to electrical signals using flex sensor. These electrical signals are processed to produce appropriate audio and text output. Previously designed devices were not accurate in tracing the hand gestures. The paper employs method of tuning in order to improve the accuracy of detecting hand gesture.
  • Keywords
    gesture recognition; handicapped aids; natural language processing; sensors; user interfaces; British sign language system; Indian sign language system; LCD; audio format; blind; deaf; disabled people; electrical signals; flex sensor; hand gesture; hand gesture detection; hand signs; mute; normal humans; virtual talk; wearable sensor gloves; Assistive technology; Flexible printed circuits; Gesture recognition; Immune system; Thumb; Tuning; British and Indian sign language; Flex sensor; Glove; disabled people; hand gesture recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Educators' Conference (TIIEC), 2013 Texas Instruments
  • Conference_Location
    Bangalore
  • Type

    conf

  • DOI
    10.1109/TIIEC.2013.63
  • Filename
    6757161