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  Published Paper Details:

  Paper Title

GESTURE RECOGNITION OF INDIAN SIGN LANGUAGE USING CNN

  Authors

  Sumathi A,  Lakshmi Bhaskar,  Ashwini S Savanth

  Keywords

Hand gestures, CNN, Hearing-impaired, Sign language.

  Abstract


Speaking disability community use hand gestures as a communication tool with the abled community. It is useful for connecting people with computers. This paper mainly focuses on converting sign language that has been communicated through the means of digital media such as live video chats, video messages, etc. to text. The speech-impaired individual performs the necessary signs/gestures that indicate the message they want to convey to the camera that records the video. This video is then pre-processed and implemented in the model that has been trained to recognize similar object patterns in videos. The model is trained using a dataset comprising of images. The model is then checked for accuracy and necessary steps are taken to ensure that it predicts accurately. This model is used to recognize sign language gestures performed by speech-impaired individuals for easier communication.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2207046

  Paper ID - 222625

  Page Number(s) - a410-a413

  Pubished in - Volume 10 | Issue 7 | July 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sumathi A,  Lakshmi Bhaskar,  Ashwini S Savanth,   "GESTURE RECOGNITION OF INDIAN SIGN LANGUAGE USING CNN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.a410-a413, July 2022, Available at :http://www.ijcrt.org/papers/IJCRT2207046.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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