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 …

This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of 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 …

In this paper, we propose a glove-based Arabic sign language recognition system using a
novel technique for sequential data classification. We compile a sensor-based dataset of 40 …

India has the largest deaf population in the world and sign language is the principal medium
for such persons to share information with normal people and among themselves. Yet …

Sign language continues to be the preferred method of communication among the deaf and
the hearing-impaired. Advances in information technology have prompted the development …

Sign languages, which consist of a combination of hand movements and facial expressions,
are used by deaf persons around the world to communicate. However, hearing persons …

Sign language recognition (SLR) is an interesting but difficult problem. One of the biggest
challenges comes from the complex inter-signer variations. To address this problem, the …

Across the world, several millions of people use sign language as their main way of
communication with their society, daily they face a lot of obstacles with their families …

Sign language is a language produced by body parts gestures and facial expressions. The
aim of an automatic sign language recognition system is to assign meaning to each sign …