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  Published Paper Details:

  Paper Title

"A Hand gesture enabled service for the disabled using Deep Learning".

  Authors

  Atharva Bansode,  Faraj Mulani,  Fazila Sayed,  Iramsabah Syed,  Ishwari Raskar

  Keywords

HOG (Histogram of Gradient), ANN (Artificial Neural Network), Mat lab, Voice replay kit.

  Abstract


We often encounter people facing ailments such as hearing loss and blindness. You have trouble interacting with others. All the technologies developed so far are sensor-based and do not offer generalized solutions. This article describes a new technique for sensorless virtual communication. An image processing technique called histogram of gradients (HOG) and an artificial neural network (ANN) were used to train the system. A webcam is used to capture images of various gestures that are used as inputs to Mat Lab. The software recognizes the images and identifies core pending narrations to be played using the narration kit. This document describes two-way communication between deaf, blind, and sighted people. This means that the proposed system can convert sign language into text and speech.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2305008

  Paper ID - 235722

  Page Number(s) - a47-a56

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Atharva Bansode,  Faraj Mulani,  Fazila Sayed,  Iramsabah Syed,  Ishwari Raskar,   ""A Hand gesture enabled service for the disabled using Deep Learning".", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.a47-a56, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305008.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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