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 …

Recently, several countries have been trying hard to facilitate the integration of disabled
people into their societies by ensuring equal opportunities through ease of access to social …

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 …

Sign languages are based on four components hand shape, place of articulation, hand
orientation, and movement. This paper presents a novel combination of vision based …

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 …

In this paper, we propose a dual leap motion controllers (LMC)-based Arabic sign language
recognition system. More specifically, we introduce the concept of using both front and side …

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 …

Researchers in sign language recognition customized different sensors to capture hand
signs. Gloves, digital cameras, depth cameras and Kinect were used alternatively in most …

Sign language is an independent language that uses gestures and body language to
convey meaning. Sign language recognition facilities the communication between deaf and …