[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 …

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 …

[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 …

Deep learning for sign language recognition: Current techniques, benchmarks, and open issues

M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

Artificial intelligence technologies for sign language

I Papastratis, C Chatzikonstantinou, D Konstantinidis… - Sensors, 2021 - mdpi.com
AI technologies can play an important role in breaking down the communication barriers of
deaf or hearing-impaired people with other communities, contributing significantly to their …

Including signed languages in natural language processing

K Yin, A Moryossef, J Hochgesang, Y Goldberg… - arXiv preprint arXiv …, 2021 - arxiv.org
Signed languages are the primary means of communication for many deaf and hard of
hearing individuals. Since signed languages exhibit all the fundamental linguistic properties …

Automatic translation of sign language with multi-stream 3D CNN and generation of artificial depth maps

GZ De Castro, RR Guerra, FG Guimaraes - Expert Systems with …, 2023 - Elsevier
Sign languages play an essential role in the cognitive and social development of the deaf,
consisting of a natural form of communication and being a symbol of identity and culture …

A vision-based deep learning approach for independent-users Arabic sign language interpretation

MM Balaha, S El-Kady, HM Balaha, M Salama… - Multimedia Tools and …, 2023 - Springer
More than 5% of the people around the world are deaf and have severe difficulties in
communicating with normal people according to the World Health Organization (WHO). They …

Explainable deep convolutional neural networks for insect pest recognition

S Coulibaly, B Kamsu-Foguem, D Kamissoko… - Journal of Cleaner …, 2022 - Elsevier
Fungal infestation of crops is critical to food security as it affects yield and quality of
production. Indeed, one element responsible for this situation is insect pests. Early detection …

Sign language production: A review

R Rastgoo, K Kiani, S Escalera… - Proceedings of the …, 2021 - openaccess.thecvf.com
Sign Language is the dominant yet non-primary form of communication language used in
the deaf and hearing-impaired community. To make an easy and mutual communication …