Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches

I Alam, A Hameed, RA Ziar - Advances in Human‐Computer …, 2024 - Wiley Online Library
In this modern era of technology, most of the accessibility issues are handled with the help of
smart devices and cutting‐edge gadgets. Smartphones play a crucial role in addressing …

A review on arabic sign language translator systems

RM Mohammed, SM Kadhem - Journal of Physics: Conference …, 2021 - iopscience.iop.org
Deaf and dumb peoples are suffering difficulties most of the time in communicating with
society. They use sign language to communicate with each other and with normal people …

Asl video corpora & sign bank: Resources available through the american sign language linguistic research project (asllrp)

C Neidle, A Opoku, D Metaxas - arXiv preprint arXiv:2201.07899, 2022 - arxiv.org
The American Sign Language Linguistic Research Project (ASLLRP) provides Internet
access to high-quality ASL video data, generally including front and side views and a close …

Generating synthetic text data to evaluate causal inference methods

Z Wood-Doughty, I Shpitser, M Dredze - arXiv preprint arXiv:2102.05638, 2021 - arxiv.org
Drawing causal conclusions from observational data requires making assumptions about
the true data-generating process. Causal inference research typically considers low …

Speak with signs: Active learning platform for Greek Sign Language, English Sign Language, and their translation

M Papatsimouli, L Lazaridis, KF Kollias… - arXiv preprint arXiv …, 2020 - arxiv.org
Sign Language is used to facilitate the communication between Deaf and non-Deaf people.
It uses signs-words with basic structural elements such as handshape, parts of face, body or …

A complete overview of sign language recognition and translation systems

KJ Swaroop, J Channegowda… - … and Medical Applications …, 2022 - Wiley Online Library
Summary Sign Language Recognition and Translation systems involve the usage of the
human body pose and hand pose estimation. Sign Language Recognition has been …

Sign Language Prediction using Machine Learning Techniques: A Review

D Aggarwal, S Ahirwar, S Srivastava… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Mute and deaf people find it very difficult to share their thoughts and feelings to normal
people. American Sign Language is a hand sign language which is capable of carrying a …

SynthoGestures: A Novel Framework for Synthetic Dynamic Hand Gesture Generation for Driving Scenarios

A Gomaa, R Zitt, G Reyes, A Krüger - Adjunct Proceedings of the 36th …, 2023 - dl.acm.org
Creating a diverse and comprehensive dataset of hand gestures for dynamic human-
machine interfaces in the automotive domain can be challenging and time-consuming. To …

Advancing Dynamic Hand Gesture Recognition in Driving Scenarios with Synthetic Data

A Gomaa, R Zitt, G Reyes - Adjunct Proceedings of the 15th International …, 2023 - dl.acm.org
Creating a diverse and comprehensive dataset of hand gestures for dynamic human-
machine interfaces in the automotive domain can be challenging and time-consuming. To …

A machine translation mechanism of Brazilian Portuguese to Libras with syntactic-semantic adequacy

MACB Lima, TMU de Araújo, REO Costa… - Natural Language …, 2022 - cambridge.org
Deaf people communicate naturally using visual-spatial languages, called sign languages
(SL). Although SLs are recognized as a language in many countries, the problems faced by …