Title: Review on Sign Language Detection Using MachineLearning
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.
Publication Year: 2020
Publication Date: 2020-01-01
Language: en
Type: article
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