Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects

S Alyami, H Luqman, M Hammoudeh - Information Processing & …, 2024 - Elsevier
Sign language is a form of visual communication employing hand gestures, body
movements, and facial expressions. The growing prevalence of hearing impairment has …

Recent progress in sign language recognition: a review

A Wali, R Shariq, S Shoaib, S Amir… - Machine Vision and …, 2023 - Springer
Sign language is a predominant form of communication among a large group of society. The
nature of sign languages is visual, making them distinct from spoken languages …

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 …

Multi-level taxonomy review for sign language recognition: Emphasis on indian sign language

NK Bahia, R Rani - ACM Transactions on Asian and Low-Resource …, 2023 - dl.acm.org
With the phenomenal increase in image and video databases, there is an increase in the
human-computer interaction that recognizes Sign Language. Exchanging information using …

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 …

[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 comprehensive survey and taxonomy of sign language research

ESM El-Alfy, H Luqman - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Sign language relies on visual gestures of human body parts to convey meaning and plays
a vital role in modern society to communicate and interact with people having hearing …

Recent advancements in automatic sign language recognition (SLR)

V Prakash, BK Tripathy - Computational Intelligence for Human …, 2020 - taylorfrancis.com
Automatic Sign Language recognition remains a relevant and active research field, with
upcoming techniques outperforming the existing developments. Automatic Sign Language …

Isolated video-based sign language recognition using a hybrid CNN-LSTM framework based on attention mechanism

D Kumari, RS Anand - Electronics, 2024 - mdpi.com
Sign language is a complex language that uses hand gestures, body movements, and facial
expressions and is majorly used by the deaf community. Sign language recognition (SLR) is …

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

DM Madhiarasan, P Roy, P Pratim - 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 …