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 …

Sign language relies on visual gestures of human body parts to convey meaning and plays
a vital role in modern society to communicate and interact with people having hearing …

Hand gesture recognition (HGR) serves as a fundamental way of communication and
interaction for human being. While HGR can be applied in human computer interaction (HCI) …

This work proposes a pattern recognition model for static gestures in Malaysian Sign
Language (MSL) based on Machine Learning (ML) techniques. The proposed model is …

In this paper, a hybrid feature selection technique named mRMR-PSO has been proposed
with a multiobjective approach for automatic recognition of sign language. The features are …

This paper introduces a novel method to bring sign language closer to real time application
on mobile platforms. Selfie captured sign language video is processed by constraining its …

Researchers have been inspired to use technology to enable people with hearing and
speech impairment to communicate and engage with others around them. Sensory …

This study proposes a new real-time sign recognition system based on a wearable sensory
glove, which has 17 sensors with 65 channels. We introduce the DataGlove to recognize …

Currently, one of the challenging and most interesting human action recognition (HAR)
problems is the 3D sign language recognition problem. The sign in the 3D video can be …

Sign languages has extensive applications among differently-abled to communicate with
their surroundings. With the development of different sensing technologies, several new …