[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 …

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 …

Autsl: A large scale multi-modal turkish sign language dataset and baseline methods

OM Sincan, HY Keles - IEEE access, 2020 - ieeexplore.ieee.org
Sign language recognition is a challenging problem where signs are identified by
simultaneous local and global articulations of multiple sources, ie hand shape and …

Deepsign: Sign language detection and recognition using deep learning

D Kothadiya, C Bhatt, K Sapariya, K Patel… - Electronics, 2022 - mdpi.com
The predominant means of communication is speech; however, there are persons whose
speaking or hearing abilities are impaired. Communication presents a significant barrier for …

[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 …

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 …

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 …

Bensignnet: Bengali sign language alphabet recognition using concatenated segmentation and convolutional neural network

ASM Miah, J Shin, MAM Hasan, MA Rahim - Applied Sciences, 2022 - mdpi.com
Sign language recognition is one of the most challenging applications in machine learning
and human-computer interaction. Many researchers have developed classification models …

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

GZ De Castro, RR Guerra, FG Guimarães - 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 …

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

A Desai, L Berger, F Minakov… - Advances in …, 2024 - proceedings.neurips.cc
Sign languages are used as a primary language by approximately 70 million D/deaf people
world-wide. However, most communication technologies operate in spoken and written …