[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 …

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 …

An integrated mediapipe-optimized GRU model for Indian sign language recognition

B Subramanian, B Olimov, SM Naik, S Kim, KH Park… - Scientific Reports, 2022 - nature.com
Sign language recognition is challenged by problems, such as accurate tracking of hand
gestures, occlusion of hands, and high computational cost. Recently, it has benefited from …

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 …

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 …

Multi-modal zero-shot dynamic hand gesture recognition

R Rastgoo, K Kiani, S Escalera, M Sabokrou - Expert Systems with …, 2024 - Elsevier
Abstract Zero-Shot Learning (ZSL) has rapidly advanced in recent years. Towards
overcoming the annotation bottleneck in the Dynamic Hand Gesture Recognition (DHGR) …

American sign language words recognition using spatio-temporal prosodic and angle features: A sequential learning approach

SB Abdullahi, K Chamnongthai - IEEE Access, 2022 - ieeexplore.ieee.org
Most of the available American Sign Language (ASL) words share similar characteristics.
These characteristics are usually during sign trajectory which yields similarity issues and …

Real-time isolated hand sign language recognition using deep networks and SVD

R Rastgoo, K Kiani, S Escalera - Journal of Ambient Intelligence and …, 2022 - Springer
One of the challenges in computer vision models, especially sign language, is real-time
recognition. In this work, we present a simple yet low-complex and efficient model …

A survey on recent advances in Sign Language Production

R Rastgoo, K Kiani, S Escalera, V Athitsos… - Expert Systems with …, 2024 - Elsevier
Sign Language is the dominant form of communication language used in the Deaf and
hearing-impaired community. To make easy and mutual communication between the …

mrmr-pso: A hybrid feature selection technique with a multiobjective approach for sign language recognition

SR Bansal, S Wadhawan, R Goel - Arabian Journal for Science and …, 2022 - Springer
In this paper, a hybrid feature selection technique named mRMR-PSO has been proposed
with a multiobjective approach for automatic recognition of sign language. The features are …