[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
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 …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
A review of the hand gesture recognition system: Current progress and future directions
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 …
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment
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 …
textual glosses. Recent studies show that insufficient training caused by the lack of large …
[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 …
communicate on a daily basis. However, the communication with hearing people still faces …
Hierarchical LSTM for sign language translation
Abstract Continuous Sign Language Translation (SLT) is a challenging task due to its
specific linguistics under sequential gesture variation without word alignment. Current hybrid …
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 - 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 …
papers with over 400 experimental results. It includes most papers between the start of the …
Skeleton-based Chinese sign language recognition and generation for bidirectional communication between deaf and hearing people
Q Xiao, 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 …
world. As such, the automatic recognition and generation of CSL is a key technology …
Chinese sign language recognition with adaptive HMM
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 …
so as to realize the communication between deaf-mute people and ordinary people. This …
Sign language recognition application systems for deaf-mute people: a review based on input-process-output
R Anderson, F Wiryana, MC Ariesta… - Procedia computer …, 2017 - Elsevier
Abstract Sign Language Recognition is a breakthrough for helping deaf-mute people and
has been researched for many years. Unfortunately, every research has its own limitations …
has been researched for many years. Unfortunately, every research has its own limitations …
Dynamic pseudo label decoding for continuous sign language recognition
Continuous sign language recognition is a weakly supervised problem to translate video
sequence to sign gloss sequence, where temporal boundary of each sign gloss is not …
sequence to sign gloss sequence, where temporal boundary of each sign gloss is not …