Systematic Literature Survey on Sign Language Recognition Systems

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Author(s): Ashok Kumar L. (PSG College of Technology, India), Karthika Renuka D. (PSG College of Technology, India)and Raajkumar G. (PSG College of Technology, India)
Copyright: 2023
Pages: 9
Source title: Deep Learning Research Applications for Natural Language Processing
Source Author(s)/Editor(s): L. Ashok Kumar (PSG College of Technology, India), Dhanaraj Karthika Renuka (PSG College of Technology, India)and S. Geetha (Vellore Institute of Technology, India)
DOI: 10.4018/978-1-6684-6001-6.ch012

Keywords: Artificial Intelligence / Engineering Science Reference / Knowledge Management and Library Science / Natural Language Processing

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Abstract

Recently, communication via signing acknowledgment has received a lot of attention in personal computer vision. Sign language is a method of conveying messages by using the hand, arm, body, and face to convey considerations and implications. Communication through gestures, like communication in languages, arises and develops naturally within hearing-impaired networks. All the same, gesture-based communication is uncommon. There is no universally perceived and accepted gesture-based communication for all deaf and hard-of-hearing people. Each nation has its own communication via gestures with a significant level of syntactic variety, just as it does when communicating in language. The gesture-based communication utilized is usually known as sign language.

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Systematic Literature Survey on Sign Language Recognition Systems

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