Real Time ASL (American Sign Language) Recognition

Authors

  • Ansari F Department of Computer Engineering, M.H. Saboo Siddik College of Engineering, Mumbai, India
  • Mistry AH Department of Computer Engineering, M.H. Saboo Siddik College of Engineering, Mumbai, India
  • Mirkar Y Department of Computer Engineering, M.H. Saboo Siddik College of Engineering, Mumbai, India
  • Merchant A Department of Computer Engineering, M.H. Saboo Siddik College of Engineering, Mumbai, India

DOI:

https://doi.org/10.26438/ijcse/v7i2.848851

Keywords:

ASL, Gestures, deaf/dumb, OpenCV, Android app, Communication

Abstract

Hand gestures are powerful means of communication among humans and sign language is the most natural and expressive way of communication for dumb and deaf people. Thus, it provides a replacement for speech among deaf and mute people, but no one form of sign language is universal. American Sign Language (ASL) is one of the sign languages which is the most widely used sign language among the English-speaking community. ASL is also widely learned language, serving as lingua franca. The communication between the deaf /dumb and normal people is extremely poor due to the fact that there is no single standalone platform that can bridge the communication gap. Sign language is a way to bridge this gap still cannot a success since the normal people ever learned such sign languages. One of the ways to eradicate this gap is by identifying the sign language’s hand gestures thus predicting the language for the normal people. In this way, the normal person will be aware of the dumb and deaf’s speech and can respond appropriately. Such a solution will eliminate the level of dependencies which a deaf/dumb person has on a translator for communicating which in turn will provide job opportunities and eradicate many more problems faced by such people in their everyday life.

References

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Published

2019-02-28
CITATION
DOI: 10.26438/ijcse/v7i2.848851
Published: 2019-02-28

How to Cite

[1]
F. Ansari, A. H. Mistry, Y. Mirkar, and A. Merchant, “Real Time ASL (American Sign Language) Recognition”, Int. J. Comp. Sci. Eng., vol. 7, no. 2, pp. 848–851, Feb. 2019.

Issue

Vol. 7 No. 2 (2019): IJCSE February Edition

Section

Research Article

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