Review on Hands Gestures Using American Sign Languages

Authors

  • Krutika S. Kale  Department of Computer Science and Engineering, Government College of Engineering Amravati, India
  • Prof. Milind B. Waghmare  Professor, Department of Computer Science and Engineering, Government College of Engineering Amravati, India

DOI:

https://doi.org//10.32628/CSEIT217361

Keywords:

Sign Language Recognition, Human Computer Interaction, image processing, computer science, Hand gesture recognition, machine learning.

Abstract

The Disability of speech impairment affects the ability to speech and communicates with others, and such disability makes person to use other medium to communicate such as sign language. And it is a challenge to make communication between people who understand sign language and person who doesn’t understand sign language. Sign language is no yet so popular method among the hearing people. To overcome this sign language issue, a sign language detection technology is used by using image classification and machine learning. Sign language recognition points to covert information in the form of sign language to user who have a little knowledge regarding sign language in the form of text or voice and this will be a huge support for communication between deaf-mute and normal people.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 7, Issue 3, May-June-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Krutika S. Kale, Prof. Milind B. Waghmare, " Review on Hands Gestures Using American Sign Languages, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.228-232, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT217361