Sign Language Recognition Using Machine Learning

Authors

  • Sinchana S Bharadwaj Dept. Of Computer Science & Engineering Jyothy Institute of Technology, Visvesvaraya Technological University Thataguni Post, Bengaluru-560082, India
  • Anagha G Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Visvesvaraya Technological University Thataguni Post, Bengaluru-560082, India
  • Sumana M R Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Visvesvaraya Technological University Thataguni Post, Bengaluru-560082, India
  • Varshini Krishna Mohan Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Visvesvaraya Technological University Thataguni Post, Bengaluru-560082, India
  • Nagaraj A Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Visvesvaraya Technological University Thataguni Post, Bengaluru-560082, India

Keywords:

Sign Language Recognition, Mobile Application, Convolutional Neural Network, Machine Learning

Abstract

According to a survey, more than one billion people in the world are disabled with hearing or speaking impairments. One of the only way they can communicate with those who do not have this disability is through sign language. SLR is called sign language recognition, which is a computational task that involves recognizing actions from sign language. This is a critical issue to address, especially in digital age, in order to overcome the communication gap that persons with hearing impairments confront. Factors like hand movements, body movements and also facial expression helps a person in communicating or expressing one's thoughts clearly. But the person standing on the other side will not be aware of this sign language. Even if they are aware , majority of them do not know how to use it. Through our software , we not only want to bridge this gap but also create an awareness towards sign language by creating a sign language interpreter that recognizes hand gestures.

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References

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Published

2022-08-05

How to Cite

[1]
S. S Bharadwaj, A. G, S. M R, V. Krishna Mohan, and N. A, “Sign Language Recognition Using Machine Learning”, pices, pp. 68-73, Aug. 2022.

Issue

2022: PiCES - Special Issue

Section

Articles

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Copyright (c) 2022 Perspectives in Communication, Embedded-systems and Signal-processing - PiCES

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