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Sign Language Translator using Machine Learning for Communication with Deaf People

by Prabhjot Kaur, Mohit Kumar, Shivam Garg, Sharad Tanwar, Shivam Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 6
Year of Publication: 2023
Authors: Prabhjot Kaur, Mohit Kumar, Shivam Garg, Sharad Tanwar, Shivam Kumar
10.5120/ijca2023922714

Prabhjot Kaur, Mohit Kumar, Shivam Garg, Sharad Tanwar, Shivam Kumar . Sign Language Translator using Machine Learning for Communication with Deaf People. International Journal of Computer Applications. 185, 6 ( May 2023), 26-30. DOI=10.5120/ijca2023922714

@article{ 10.5120/ijca2023922714,
author = { Prabhjot Kaur, Mohit Kumar, Shivam Garg, Sharad Tanwar, Shivam Kumar },
title = { Sign Language Translator using Machine Learning for Communication with Deaf People },
journal = { International Journal of Computer Applications },
issue_date = { May 2023 },
volume = { 185 },
number = { 6 },
month = { May },
year = { 2023 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number6/32707-2023922714/ },
doi = { 10.5120/ijca2023922714 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:25:24.987232+05:30
%A Prabhjot Kaur
%A Mohit Kumar
%A Shivam Garg
%A Sharad Tanwar
%A Shivam Kumar
%T Sign Language Translator using Machine Learning for Communication with Deaf People
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 6
%P 26-30
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sign language is an incredible advancement that has grown over the years. Unfortunately, the language has some drawbacks. Not everyone knows how to interpret sign language when conversing with deaf people. Communication using sign language is always necessary. Communication without an interpreter is difficult. To solve this, there is a need to develop a product that is versatile and robust, which can convert sign language so that ordinary people can understand it and communicate without barriers. The main aim of this paper is to break down barriers between deaf and non-deaf people and propose a system so that deaf and normal people can communicate with each other.

References
  1. Khan, Rafiqul Zaman, and Noor Adnan Ibraheem. "Hand gesture recognition: a literature review." International journal of artificial Intelligence & Applications 3, no. 4 (2012): 161.
  2. Hasan, Mokhtar M., and Pramod K. Mishra. "Hand gesture modeling and recognition using geometric features: a review." Canadian journal on image processing and computer vision 3, no. 1 (2012): 12-26.
  3. Oudah, Munir, Ali Al-Naji, and Javaan Chahl. "Hand gesture recognition based on computer vision: a review of techniques." journal of Imaging 6, no. 8 (2020): 73.
  4. Furui, Sadaoki. "50 years of progress in speech and speaker recognition research." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 1.2 (2005): 64-74.
  5. Mohamed, Noraini, Mumtaz Begum Mustafa, and Nazean Jomhari. "A review of the hand gesture recognition system: Current progress and future directions." IEEE Access 9 (2021): 157422-157436.
  6. Reddy, D. Raj. "Speech recognition by machine: A review." Proceedings of the IEEE 64, no. 4 (1976): 501-531.
  7. Shinde, Viraj, et al. "Hand gesture recognition system using camera." Int. J. Eng. Res. Technol.(IJERT) 3.1 (2014).
Index Terms

Computer Science
Information Sciences

Keywords

Sign Language Translator Gesture Recognition

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