A review of hand gesture and sign language recognition techniques
Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …
convenience for human life. The ability of machines to understand human activities and their …
[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 …
Machine translation from signed to spoken languages: State of the art and challenges
Automatic translation from signed to spoken languages is an interdisciplinary research
domain on the intersection of computer vision, machine translation (MT), and linguistics …
domain on the intersection of computer vision, machine translation (MT), and linguistics …
Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors
In contrast to speech recognition, whose speech features have been extensively explored in
the research literature, feature extraction in Sign Language Recognition (SLR) is still a very …
the research literature, feature extraction in Sign Language Recognition (SLR) is still a very …
[PDF][PDF] Speech recognition techniques for a sign language recognition system
P Dreuw, D Rybach, T Deselaers… - …, 2007 - www-i6.informatik.rwth-aachen.de
One of the most significant differences between automatic sign language recognition (ASLR)
and automatic speech recognition (ASR) is due to the computer vision problems, whereas …
and automatic speech recognition (ASR) is due to the computer vision problems, whereas …
Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects
Sign language is a form of visual communication employing hand gestures, body
movements, and facial expressions. The growing prevalence of hearing impairment has …
movements, and facial expressions. The growing prevalence of hearing impairment has …
[PDF][PDF] Benchmark databases for video-based automatic sign language recognition
A new, linguistically annotated, video database for automatic sign language recognition is
presented. The new RWTH-BOSTON-400 corpus, which consists of 843 sentences, several …
presented. The new RWTH-BOSTON-400 corpus, which consists of 843 sentences, several …
Exploring collection of sign language videos through crowdsourcing
Inadequate sign language data currently impedes advancement of sign language ML and
AI. Training on existing datasets results in limited models due to small size, and lack of …
AI. Training on existing datasets results in limited models due to small size, and lack of …
[HTML][HTML] Signsworld atlas; a benchmark Arabic sign language database
SM Shohieb, HK Elminir, AM Riad - … of King Saud University-Computer and …, 2015 - Elsevier
Research has increased notably in vision-based automatic sign language recognition
(ASLR). However, there has been little attention given to building a uniform platform for …
(ASLR). However, there has been little attention given to building a uniform platform for …
[PDF][PDF] Towards automatic sign language annotation for the elan tool
A new interface to the ELAN annotation software that can handle automatically generated
annotations by a sign language recognition and translation framework is described. For …
annotations by a sign language recognition and translation framework is described. For …