Sign language recognition systems: A decade systematic literature review

A Wadhawan, P Kumar - Archives of computational methods in …, 2021 - Springer
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 …

Quantitative survey of the state of the art in sign language recognition

O Koller - arXiv preprint arXiv:2008.09918, 2020 - arxiv.org
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 …

A framework for hand gesture recognition based on accelerometer and EMG sensors

X Zhang, X Chen, Y Li, V Lantz… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper presents a framework for hand gesture recognition based on the information
fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) …

A comprehensive survey and taxonomy of sign language research

ESM El-Alfy, H Luqman - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
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 …

A sign-component-based framework for Chinese sign language recognition using accelerometer and sEMG data

Y Li, X Chen, X Zhang, K Wang… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Identification of constituent components of each sign gesture can be beneficial to the
improved performance of sign language recognition (SLR), especially for large-vocabulary …

Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects

S Alyami, H Luqman, M Hammoudeh - Information Processing & …, 2024 - Elsevier
Sign language is a form of visual communication employing hand gestures, body
movements, and facial expressions. The growing prevalence of hearing impairment has …

Towards hybrid multimodal manual and non-manual Arabic sign language recognition: MArSL database and pilot study

H Luqman, ESM El-Alfy - Electronics, 2021 - mdpi.com
Sign languages are the main visual communication medium between hard-hearing people
and their societies. Similar to spoken languages, they are not universal and vary from region …

[HTML][HTML] A survey on sign language literature

M Alaghband, HR Maghroor, I Garibay - Machine Learning with …, 2023 - Elsevier
Individuals with hearing impairment encounter various types and levels of difficulties,
highlighting the need for more research to provide effective support. One significant difficulty …

Recognition of isolated indian sign language gesture in real time

A Nandy, JS Prasad, S Mondal, P Chakraborty… - … Conference on Recent …, 2010 - Springer
Abstract Indian Sign Language (ISL) consists of static as well as dynamic hand gestures for
communication among deaf and dumb persons. Most of the ISL gestures are produced …

Sceptre: a pervasive, non-invasive, and programmable gesture recognition technology

P Paudyal, A Banerjee, SKS Gupta - Proceedings of the 21st …, 2016 - dl.acm.org
Communication and collaboration between deaf people and hearing people is hindered by
lack of a common language. Although there has been a lot of research in this domain, there …