Sign Language Recognition: A Comprehensive Review of Traditional and Deep Learning Approaches, Datasets, and Challenges

T Tao, Y Zhao, T Liu, J Zhu - IEEE Access, 2024 - ieeexplore.ieee.org
The Deaf are a large social group in society. Their unique way of communicating through
sign language is often confined within their community due to limited understanding by …

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 …

Descriptive Review on a Nepali Sign Language Recognition System

K Sapkota, S Rana, S Khandal, Y Tamang… - Advanced Computer …, 2023 - taylorfrancis.com
Sign language, being the basic means of communication between speciallyabled people,
that is, deaf, and normal ones, a massive amount of research works has been carried out in …

Sign language recognition: high performance deep learning approach applyied to multiple sign languages

A El Zaar, N Benaya, A El Allati - E3S Web of Conferences, 2022 - e3s-conferences.org
In this paper we present a high performance Deep Learning architecture based on
Convolutional Neural Network (CNN). The proposed architecture is effective as it is capable …

T-SignSys: An Efficient CNN-Based Turkish Sign Language Recognition System

S Colak, A Sadeghzadeh, MB Islam - International Conference on …, 2023 - Springer
Sign language (SL) is a communication tool playing a crucial role in facilitating the daily life
of deaf or hearing-impaired people. Large varieties in the existing SLs and lack of …

A sensing data and deep learning-based sign language recognition approach

W Hao, C Hou, Z Zhang, X Zhai, L Wang… - Computers and Electrical …, 2024 - Elsevier
Correct sign language recognition helps deaf people communicate normally with hearing
people. However, existing sign language recognition techniques have low recognition …

Sign language recognition using convolutional neural networks

RM Varghese, S Siddharth, J Biju, S Dutta… - … , Control and Devices …, 2021 - Springer
The lack of familiarity with sign language among non-users and the absence of a universal
method for communication poses major problems for the deaf community. The digitization of …

[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 …

A new benchmark on american sign language recognition using convolutional neural network

MM Rahman, MS Islam, MH Rahman… - … for Industry 4.0 (STI), 2019 - ieeexplore.ieee.org
The listening or hearing impaired (deaf/dumb) people use a set of signs, called sign
language instead of speech for communication among them. However, it is very challenging …

A review on sign language recognition (slr) system: Ml and dl for slr

S Das, M Chakraborty… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Sign Language (SL) is a parallel communication medium to spoken language, mostly used
by people who are not able to speak or hear. A human interpreter is also required to work as …