Automatic translation from signed to spoken languages is an interdisciplinary research
domain on the intersection of computer vision, machine translation (MT), and linguistics …

Sign language is essential for deaf and mute people to communicate with normal people
and themselves. As ordinary people tend to ignore the importance of sign language, which …

Sign language (SL) is a visual language means of communication for people with deafness
or hearing impairments. In Arabic-speaking countries, there are many arabic sign languages …

Dynamic Sign Language Recognition aims to recognize hand gestures of any person.
Dynamic Sign Language Recognition systems have challenges in recognizing the semantic …

No one can deny that the deaf-mute community has communication problems in daily life.
Advances in artificial intelligence over the past few years have broken through this …

Sign language recognition, an essential interface between the hearing and deaf-mute
communities, faces challenges with high false positive rates and computational costs, even …

Convolutional neural networks (CNN) have provided great advances for the task of sign
language recognition (SLR). However, recurrent neural networks (RNN) in the form of long …

Modeling Language (SysML) to depict and model non-functional requirements, such as
response time, size, or system functionality, which cannot be accommodated in the Unified …

An Arabic sign language recognition using two concatenated deep convolution neural
network models DenseNet121 & VGG16 is presented. The pre-trained models are fed with …

The most used code for communication by deaf and dumb people is Sign Language, which
involves several gestures where each has a particular meaning. Many researchers and …