ISSN 2394-5125
 

Review Article 


Review on Sign Language Detection Using Machine Learning

Anamika Srivastava, Vikrant Malik.

Abstract
Sign language is the most popular and effective way for communication among hard hearing and
normal people. Normal people find little difficulty in understanding and interpreting the meaning of sign language
expressed by the hearing impaired, it is inevitable to have an interpreter for the translation of sign language. There
are very fewer technologies that help to connect this social group to the world. Understanding sign language is
the primary enablers in helping hard of hearing people with the rest of society. American Sign Language detection
is a process in which computer analyses the American Sign Language gestures and then convert them into humanreadable text. Those people who face difficulty in speaking and in hearing can easily communicate with the use
of this Sign language detection software. Nowadays many types of research are going on to make this process
easy and accurate. In this paper, an effort has been made to highlight the work and comparative study of that work
done by researchers in American Sign Language.

Key words: American Sign Language, Deep learning, PCANet, English Sign Language, Microsoft Kinect


 
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Pubmed Style

Anamika Srivastava, Vikrant Malik. Review on Sign Language Detection Using Machine Learning. JCR. 2020; 7(10): 1190-1194. doi:10.31838/jcr.07.10.234


Web Style

Anamika Srivastava, Vikrant Malik. Review on Sign Language Detection Using Machine Learning. http://www.jcreview.com/?mno=12085 [Access: August 17, 2021]. doi:10.31838/jcr.07.10.234


AMA (American Medical Association) Style

Anamika Srivastava, Vikrant Malik. Review on Sign Language Detection Using Machine Learning. JCR. 2020; 7(10): 1190-1194. doi:10.31838/jcr.07.10.234



Vancouver/ICMJE Style

Anamika Srivastava, Vikrant Malik. Review on Sign Language Detection Using Machine Learning. JCR. (2020), [cited August 17, 2021]; 7(10): 1190-1194. doi:10.31838/jcr.07.10.234



Harvard Style

Anamika Srivastava, Vikrant Malik (2020) Review on Sign Language Detection Using Machine Learning. JCR, 7 (10), 1190-1194. doi:10.31838/jcr.07.10.234



Turabian Style

Anamika Srivastava, Vikrant Malik. 2020. Review on Sign Language Detection Using Machine Learning. Journal of Critical Reviews, 7 (10), 1190-1194. doi:10.31838/jcr.07.10.234



Chicago Style

Anamika Srivastava, Vikrant Malik. "Review on Sign Language Detection Using Machine Learning." Journal of Critical Reviews 7 (2020), 1190-1194. doi:10.31838/jcr.07.10.234



MLA (The Modern Language Association) Style

Anamika Srivastava, Vikrant Malik. "Review on Sign Language Detection Using Machine Learning." Journal of Critical Reviews 7.10 (2020), 1190-1194. Print. doi:10.31838/jcr.07.10.234



APA (American Psychological Association) Style

Anamika Srivastava, Vikrant Malik (2020) Review on Sign Language Detection Using Machine Learning. Journal of Critical Reviews, 7 (10), 1190-1194. doi:10.31838/jcr.07.10.234