MonVoix - An Android Application for hearing impaired people

Authors

  • Rachana Kamat Vivekanand Education Society's Institute of Technology
  • Aishwarya Danoji Vivekanand Education Society's Institute of Technology
  • Aishwarya Dhage Vivekanand Education Society's Institute of Technology
  • Priya Puranik Vivekanand Education Society's Institute of Technology
  • Sharmila Sengupta Vivekanand Education Society's Institute of Technology

DOI:

https://doi.org/10.22385/jctecs.v8i0.123

Keywords:

Sign Language, hand gestures, Android Application, Otsu Binarization, Image processing, FFT, Canny edge detection, histogram equalization, dilation.

Abstract

Human communication is the most valuable foundation in developing a cooperative environment for sharing information and knowledge by interactive sessions. Normal individual vocalizes his views through shared intentions like facial expressions and hand gestures. People with acoustical disabilities are obligated to rely on interpreters for day-to-day conversations. Interpretation of various Sign Languages is important as it will shorten the social drift and act as an agent of communal integration. This paper proposes an Android Application for a coherent interpretation of Sign Languages. MonVoix- a French remark for my voice, would act as a boon for the deaf and the mute by completely eliminating the requisite of a human interpreter. This approach utilizes a user’s Smartphone camera to capture a series of hand gestures and convert the image file to the corresponding message and audio using image processing techniques and database emulation for identification of image.

 

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Author Biographies

  • Rachana Kamat, Vivekanand Education Society's Institute of Technology

    Computer Engineering,

    B.E.Student

  • Aishwarya Danoji, Vivekanand Education Society's Institute of Technology

    Computer Engineering,

    B.E.Student
  • Aishwarya Dhage, Vivekanand Education Society's Institute of Technology

    Computer Engineering,

    B.E.Student
  • Priya Puranik, Vivekanand Education Society's Institute of Technology

    Computer Engineering,

    B.E.Student
  • Sharmila Sengupta, Vivekanand Education Society's Institute of Technology

    Computer Engineering,

    Associate Professor

References

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[Online].Available:http://www.atm.com R. Kurdyumov, P. Ho, J. Ng. (2011, December16) Sign Language Classification Using WebcamImages Online]. Available:http://cs229.stanford.edu/.../KurdyumovHoNgSignLanguageClassificationUsi.

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KanchanDabre, SurekhaDholay. “Machine Learning Model for Sign Language Interpretation using Webcam Images”. 2014 International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA)

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Published

2016-11-07

Issue

Vol. 8

Section

Articles

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