[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis

IA Adeyanju, OO Bello, MA Adegboye - Intelligent Systems with …, 2021 - Elsevier
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …

[HTML][HTML] A survey on Sign Language machine translation

A Núñez-Marcos, O Perez-de-Viñaspre… - Expert Systems with …, 2023 - Elsevier
Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …

Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment

J Zheng, Y Wang, C Tan, S Li… - Proceedings of the …, 2023 - openaccess.thecvf.com
Sign language recognition (SLR) is a weakly supervised task that annotates sign videos as
textual glosses. Recent studies show that insufficient training caused by the lack of large …

A review of the hand gesture recognition system: Current progress and future directions

N Mohamed, MB Mustafa, N Jomhari - IEEE access, 2021 - ieeexplore.ieee.org
This paper reviewed the sign language research in the vision-based hand gesture
recognition system from 2014 to 2020. Its objective is to identify the progress and what …

Hierarchical LSTM for sign language translation

D Guo, W Zhou, H Li, M Wang - Proceedings of the AAAI conference on …, 2018 - ojs.aaai.org
Abstract Continuous Sign Language Translation (SLT) is a challenging task due to its
specific linguistics under sequential gesture variation without word alignment. Current hybrid …

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

O Koller - ar** deaf-mute people and
has been researched for many years. Unfortunately, every research has its own limitations …

Chinese sign language recognition with adaptive HMM

J Zhang, W Zhou, C **e, J Pu… - 2016 IEEE international …, 2016 - ieeexplore.ieee.org
Sign Language Recognition (SLR) aims at translating the sign language into text or speech,
so as to realize the communication between deaf-mute people and ordinary people. This …

Skeleton-based Chinese sign language recognition and generation for bidirectional communication between deaf and hearing people

Q **ao, M Qin, Y Yin - Neural networks, 2020 - Elsevier
Chinese sign language (CSL) is one of the most widely used sign language systems in the
world. As such, the automatic recognition and generation of CSL is a key technology …

Sign language recognition with long short-term memory

T Liu, W Zhou, H Li - 2016 IEEE international conference on …, 2016 - ieeexplore.ieee.org
Sign Language Recognition (SLR) aims at translating the Sign Language (SL) into speech
or text, so as to facilitate the communication between hearing-impaired people and the …