[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 …

Multi-level taxonomy review for sign language recognition: Emphasis on indian sign language

NK Bahia, R Rani - ACM Transactions on Asian and Low-Resource …, 2023 - dl.acm.org
With the phenomenal increase in image and video databases, there is an increase in the
human-computer interaction that recognizes Sign Language. Exchanging information using …

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 …

A Computer Vision‐Based System for Recognition and Classification of Urdu Sign Language Dataset for Differently Abled People Using Artificial Intelligence

H Zahid, SA Syed, M Rashid, S Hussain… - Mobile Information …, 2023 - Wiley Online Library
Communication between normal people and deaf people is the most difficult part of daily life
worldwide. It is difficult for a normal person to understand a word from the deaf one in their …

State of the art of automation in sign language: A systematic review

R Kumar Attar, V Goyal, L Goyal - ACM Transactions on Asian and Low …, 2023 - dl.acm.org
Sign language is the fundamental communication language of deaf people. Efforts to
develop sign language generation systems can make the life of these people smooth and …

Applying hybrid deep neural network for the recognition of sign language words used by the deaf Covid-19 patients

A Venugopalan, R Reghunadhan - Arabian Journal for Science and …, 2023 - Springer
The rapid spread of the novel corona virus disease (COVID-19) has disrupted the traditional
clinical services all over the world. Hospitals and healthcare centers have taken extreme …

Indian sign language recognition system using network deconvolution and spatial transformer network

A Ghorai, U Nandi, C Changdar, T Si, MM Singh… - Neural Computing and …, 2023 - Springer
A sign language recognition system can be applied to reduce a communication gap
between deaf and normal persons. However, the Indian sign language recognition (ISL) …

Recognition of JSL fingerspelling using deep convolutional neural networks

B Kwolek, W Baczynski, S Sako - Neurocomputing, 2021 - Elsevier
In this paper, we present approach for recognition of static fingerspelling in Japanese Sign
Language on RGB images. Two 3D articulated hand models have been developed to …

Continuous Hand Gesture Recognition for Human-Robot Collaborative Assembly

B Kwolek - Proceedings of the IEEE/CVF International …, 2023 - openaccess.thecvf.com
In this work, we present a framework for dynamic hand gesture recognition on RGB images
acquired by an overhead camera. The recognition is realized for Methods Time …

Proposal and experimental results of a DNN based real-time recognition method for ohsone style fingerspelling in static characters environment

Y Hirota, T Oda, N Saito, A Hirata… - 2020 IEEE 9th …, 2020 - ieeexplore.ieee.org
In Japan, the Employment Promotion Act for Persons with Disabilities was amended in April
2020. The employers are required to hire person with disabilities. On the other hand, the …