[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 …

American sign language alphabet recognition by extracting feature from hand pose estimation

J Shin, A Matsuoka, MAM Hasan, AY Srizon - Sensors, 2021 - mdpi.com
Sign language is designed to assist the deaf and hard of hearing community to convey
messages and connect with society. Sign language recognition has been an important …

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 …

American sign language recognition and training method with recurrent neural network

CKM Lee, KKH Ng, CH Chen, HCW Lau… - Expert Systems with …, 2021 - Elsevier
Though American sign language (ASL) has gained recognition from the American society,
few ASL applications have been developed with educational purposes. Those designed …

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 …

Suitability of the Kinect sensor and Leap Motion controller—A literature review

T Guzsvinecz, V Szucs, C Sik-Lanyi - Sensors, 2019 - mdpi.com
As the need for sensors increases with the inception of virtual reality, augmented reality and
mixed reality, the purpose of this paper is to evaluate the suitability of the two Kinect devices …

Gesture recognition of RGB and RGB-D static images using convolutional neural networks

RG Crespo, E Verdú, M Khari, AK Garg - IJIMAI, 2019 - dialnet.unirioja.es
In this era, the interaction between Human and Computers has always been a fascinating
field. With the rapid development in the field of Computer Vision, gesture based recognition …

Spatial–temporal feature-based End-to-end Fourier network for 3D sign language recognition

SB Abdullahi, K Chamnongthai… - Expert Systems with …, 2024 - Elsevier
Most dynamic sign word misclassifications are caused by redundant spatial–temporal (SPT)
feature pruning that lacks language semantic and temporal dependencies. SPT feature …

[Retracted] Hypertuned Deep Convolutional Neural Network for Sign Language Recognition

A Mannan, A Abbasi, AR Javed… - Computational …, 2022 - Wiley Online Library
Sign language plays a pivotal role in the lives of impaired people having speaking and
hearing disabilities. They can convey messages using hand gesture movements. American …