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Published Paper Details:
Paper Title
HAND GESTURE TO SPEECH MAPPING
Authors
Saurabh Anil Sawant, Daksha Bhalerao, Ruchita Barge , Amarja Adgaonkar
Keywords
Sign language interpretation -SLI , Human machine interaction -HMI , American sign language -ASL
Abstract
In this paper we propose a system which
serves as a communication medium between
partially impaired (deaf-mute) people and an
ordinary person by making use of Sign language
Interpretation (SLI) technique. Human Computer
Interaction (HMI) is a decent way to benefit
partially impaired person to interact with an
ordinary person with the assistance of a computer.
Thus we propose a method to recognize the hand
gestures used in the sign language and then convey
the meaning of the sign language in the speech
form.
The
system
extracts
meaningful
characteristics from the figures, such as angles
between fingers, to achieve a high-accuracy, which
uses a classifier to decide which gesture is being
performed. We show that our approach allows
recognizing 26 static hand gestures of American
Sign Language each of English vocabulary A-Z and
digits 0-9 along successfully.
IJCRT's Publication Details
Unique Identification Number - IJCRT1803233
Paper ID - 184731
Page Number(s) - 944-948
Pubished in - Volume 6 | Issue 1 | March 2018
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Saurabh Anil Sawant, Daksha Bhalerao, Ruchita Barge , Amarja Adgaonkar, "HAND GESTURE TO SPEECH MAPPING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.944-948, March 2018, Available at :http://www.ijcrt.org/papers/IJCRT1803233.pdf
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Volume 13 | Issue 10
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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