Title: Detection of Sign Language Using Machine Learning
Abstract: Sign language is the most common and efficient medium for hard-hearing and average people to communicate. In learning and decoding the essence of sign language communicated by the hearing impaired, it is inevitable for common citizens to use an interpreter for the translation of sign language. There are far fewer innovations that contribute to linking the planet to this social community. The key enablers in helping hard to hear persons like the rest of society know sign language. Detection of the American Sign Language is a system in which machines analyze the signs of the American Sign Language and then translate them into human-readable text. The use of this sign language recognition app will effectively interact with certain persons who face difficulties in speech and listening. Many forms of studies are currently going on to make this method simple and precise. In this article, an attempt has been made to illustrate the work performed by scholars in American Sign Language and comparative analysis of that work.
Publication Year: 2018
Publication Date: 2018-07-01
Language: en
Type: article
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