[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 hand gesture and sign language recognition techniques

MJ Cheok, Z Omar, MH Jaward - International Journal of Machine …, 2019 - Springer
Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …

A comprehensive review of sign language recognition: Different types, modalities, and datasets

M Madhiarasan, PP Roy - arXiv preprint arXiv:2204.03328, 2022 - arxiv.org
A machine can understand human activities, and the meaning of signs can help overcome
the communication barriers between the inaudible and ordinary people. Sign Language …

Technological solutions for sign language recognition: a scoping review of research trends, challenges, and opportunities

B Joksimoski, E Zdravevski, P Lameski, IM Pires… - IEEE …, 2022 - ieeexplore.ieee.org
Sign languages are critical in conveying meaning by the use of a visual-manual modality
and are the primary means of communication of the deaf and hard of hearing with their …

Real-time sign language recognition in complex background scene based on a hierarchical clustering classification method

TY Pan, LY Lo, CW Yeh, JW Li, HT Liu… - 2016 IEEE second …, 2016 - ieeexplore.ieee.org
Cameras are embedded in many mobile/wearable devices and can be used for gesture
recognition or even sign language recognition to help the deaf people communicate with …

[HTML][HTML] A comparative study of advanced technologies and methods in hand gesture analysis and recognition systems

MM Rahman, A Uzzaman, F Khatun… - Expert Systems with …, 2024 - Elsevier
Hand gesture recognition is progressively becoming a mature technology as a result of
significant investment in human-machine interaction. The requirements of human-machine …

Double-handed dynamic gesture recognition using contour-based hand tracking and maximum mean probability ensembling (MMPE) for Indian Sign language

CJ Sruthi, A Lijiya - The Visual Computer, 2023 - Springer
The ability to communicate in verbal language is one of the greatest gifts of humankind. The
people who do not have this ability feel isolated and struggle to convey their part in society …

Sign language recognition in complex background scene based on adaptive skin colour modelling and support vector machine

TY Pan, LY Lo, CW Yeh, JW Li… - … Journal of Big Data …, 2018 - inderscienceonline.com
With the advances of wearable cameras, the user can record the first-person view videos for
gesture recognition or even sign language recognition to help the deaf or hard of hearing …

Symmetric mean binary pattern-based Pakistan sign language recognition using multiclass support vector machines

SMS Shah, JI Khan, SH Abbas, A Ghani - Neural Computing and …, 2023 - Springer
Sign languages are a fundamental source of communication for the deaf community,
generated through movements of the human body. Similar to the natural languages, sign …

Blade computing with the AMD Opteron™ processor (" magny-cours")

P Conway, N Kalyanasundharam… - 2009 IEEE Hot Chips …, 2009 - ieeexplore.ieee.org
Presents a collection of slides covering the following topics: AMD Opteron processor; x86 64-
bit architecture evolution; Magny-Cours silicon; MCM 2.0 logical view; HyperTransport …