• DocumentCode
    3729529
  • Title

    Sign language learning based on Android for deaf and speech impaired people

  • Author

    Setiawardhana;Rizky Yuniar Hakkun;Achmad Baharuddin

  • Author_Institution
    Informatic &
  • fYear
    2015
  • Firstpage
    114
  • Lastpage
    117
  • Abstract
    People who have physical limitations often encountered in life. Deaf and speech impaired have limitations in terms of communication. Researchers are keen to develop a technology translator is able to translate sign language into written language. Growing technology is still limited to the PC-based translator. Researchers are interested in developing the mobile translator shaped because of its simplicity that can be brought in mobile. This research is making an Android-based application that can directly interpret sign language submitted by deaf speech into written language. Translation process begins from the hand detection using Opencv and translation of hand signals with the K-NN classification. Tutorial features added in this application with the aim to train intensively to users in the use of sign language.
  • Keywords
    "Gesture recognition","Assistive technology","Smart phones","Speech","Object detection","Testing","Tutorials"
  • Publisher
    ieee
  • Conference_Titel
    Electronics Symposium (IES), 2015 International
  • Print_ISBN
    978-1-4673-9344-7
  • Type

    conf

  • DOI
    10.1109/ELECSYM.2015.7380825
  • Filename
    7380825