Sign language recognition: A deep survey

R Rastgoo, K Kiani, S Escalera - Expert Systems with Applications, 2021 - Elsevier
Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …

Unraveling a decade: a comprehensive survey on isolated sign language recognition

N Sarhan, S Frintrop - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Sign language plays a crucial role as a distinct and vital mode of communication for diverse
groups of people in society. Each sign language encompasses a wide array of signs, each …

Deep learning-based sign language recognition system for static signs

A Wadhawan, P Kumar - Neural computing and applications, 2020 - Springer
Sign language for communication is efficacious for humans, and vital research is in progress
in computer vision systems. The earliest work in Indian Sign Language (ISL) recognition …

Technological solutions for sign language recognition: a scoping review of research trends, challenges, and opportunities

B Joksimoski, E Zdravevski, P Lameski, IM Pires… - IEEE …, 2022 - ieeexplore.ieee.org
Sign languages are critical in conveying meaning by the use of a visual-manual modality
and are the primary means of communication of the deaf and hard of hearing with their …

[HTML][HTML] Korean sign language recognition using transformer-based deep neural network

J Shin, AS Musa Miah, MAM Hasan, K Hirooka… - Applied Sciences, 2023 - mdpi.com
Sign language recognition (SLR) is one of the crucial applications of the hand gesture
recognition and computer vision research domain. There are many researchers who have …

RETRACTED ARTICLE: Machine learning based sign language recognition: a review and its research frontier

R Elakkiya - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
In the recent past, research in the field of automatic sign language recognition using
machine learning methods have demonstrated remarkable success and made momentous …

Deep learning for sign language recognition: Current techniques, benchmarks, and open issues

M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

Word-level deep sign language recognition from video: A new large-scale dataset and methods comparison

D Li, C Rodriguez, X Yu, H Li - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Vision-based sign language recognition aims at helping the hearing-impaired people to
communicate with others. However, most existing sign language datasets are limited to a …

Include: A large scale dataset for indian sign language recognition

A Sridhar, RG Ganesan, P Kumar… - Proceedings of the 28th …, 2020 - dl.acm.org
Indian Sign Language (ISL) is a complete language with its own grammar, syntax,
vocabulary and several unique linguistic attributes. It is used by over 5 million deaf people in …

[Retracted] Hypertuned Deep Convolutional Neural Network for Sign Language Recognition

A Mannan, A Abbasi, AR Javed… - Computational …, 2022 - Wiley Online Library
Sign language plays a pivotal role in the lives of impaired people having speaking and
hearing disabilities. They can convey messages using hand gesture movements. American …