• DocumentCode
    162600
  • Title

    Mobile Translation System from Speech Language to Hand Motion Language

  • Author

    Rekha, K. ; Latha, B.

  • Author_Institution
    CSE, Sathyabama Univ., Chennai, India
  • fYear
    2014
  • fDate
    6-7 March 2014
  • Firstpage
    411
  • Lastpage
    415
  • Abstract
    To access information anywhere, advanced technology is needed. Nowadays mobile devices and applications are developing rapidly. Deaf and hard of hearing people find difficult to use mobile devices since they are not able to access information anywhere due to lack of services. They have difficulties with reading and writing, to read and understand all information to use mobile devices due to their hearing impairment which is an invisible disability. The gain of experience collected by deaf children in four years is equivalent to the gain of one year for hearing children. All visual textual information is not accessible for this category of people with disabilities. To provide benefits for deaf people to improve their social integration and communication. In this paper, we propose a solution to this problem by a mobile based sign language translation device for automatic translation of Indian English speech language to sign language. This helps the hearing impaired people to communicate easily with the hearing people. We focus on the relationship between deaf people and the technological progress.
  • Keywords
    handicapped aids; mobile computing; natural language processing; Indian English speech language; deaf people; hand motion language; hearing impaired people; mobile translation system; sign language translation device; Assistive technology; Auditory system; Cloud computing; Gesture recognition; Mobile communication; Mobile handsets; Speech; Android; Cloud computing; Sign Language; Text image processing; speech language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing Applications (ICICA), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICICA.2014.90
  • Filename
    6965082