People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

Sign language recognition is one of the most challenging applications in machine learning
and human-computer interaction. Many researchers have developed classification models …

Sign language recognition aims to recognize meaningful movements of hand gestures and
is a significant solution in intelligent communication between the deaf community and …

To assist the social interaction of deaf and hearing impaired people, efficient interactive
communication tools is expected. With the growing research interest in action and gesture …

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 …

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

Background Sign language is an essential means of communication for hearing-impaired
individuals. Objective We aimed to develop an American sign language recognition dataset …

This paper presents a novel Arabic Sign Language (ArSL) recognition system, using
selected 2D hands and body key points from successive video frames. The system …

Deafness does not restrict its negative effect on the person's hearing, but rather on all aspect
of their daily life. Moreover, hearing people aggravated the issue through their reluctance to …

Sign language is the major means of communication for the deaf community. It uses body
language and gestures such as hand shapes, lib patterns, and facial expressions to convey …