This paper reviewed the sign language research in the vision-based hand gesture
recognition system from 2014 to 2020. Its objective is to identify the progress and what …

Despite the importance of sign language recognition systems, there is a lack of a Systematic
Literature Review and a classification scheme for it. This is the first identifiable academic …

Loss of the ability to speak or hear exerts psychological and social impacts on the affected
persons due to the lack of proper communication. Multiple and systematic scholarly …

The deaf-mute community have undeniable communication problems in their daily life.
Recent developments in artificial intelligence tear down this communication barrier. The …

Hand gesture recognition has attracted the attention of many researchers due to its wide
applications in robotics, games, virtual reality, sign language and human-computer …

As robots have become more pervasive in our daily life, natural human-robot interaction
(HRI) has had a positive impact on the development of robotics. Thus, there has been …

Sign language is the most natural and effective way for communications among deaf and
normal people. American Sign Language (ASL) alphabet recognition (ie fingerspelling) …

In the recent past, research in the field of automatic sign language recognition using
machine learning methods have demonstrated remarkable success and made momentous …

Sign language recognition system (SLRS) is one of the application areas of human
computer interaction (HCI) where signs of hearing impaired people are converted to text or …

Sign language recognition is challenging due to the lack of communication between normal
and affected people. Many social and physiological impacts are created due to speaking or …