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
sign language recognition (ASLR) literature: We conducted a comprehensive review of
automated sign language recognition … to almost all sign language recognition methodologies and …

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
… , and develop various sign languages and its related skills. … applied on sign language
recognition, visualization, and … the challenges mentioned above of sign language recognition, …

[PDF][PDF] Advances, challenges and opportunities in continuous sign language recognition

NB Ibrahim, HH Zayed, MM Selim - Journal of Engineering and …, 2020 - fci.stafpu.bu.edu.eg
Sign language recognition systems play the role of a moderator between … sign language
into either a spoken language or a written one. In the last decades, Sign Language Recognition (…

Challenges with sign language datasets for sign language recognition and translation

M De Sisto, V Vandeghinste… - … on Language …, 2022 - repositori.upf.edu
… with the correct sign meaning; and (2) SL translation, which focuses on generating translations
into spoken or other sign languages. Unfortunately, there are several issues that hamper …

Sign language recognition: A deep survey

R Rastgoo, K Kiani, S Escalera - Expert Systems with Applications, 2021 - Elsevier
… One of the main challenges is developing a sign language recognition system to translate
the sing words or sentences into the text or voice to facilitate the communication between deaf …

Sign language recognition, generation, and translation: An interdisciplinary perspective

D Bragg, O Koller, M Bellard, L Berke… - Proceedings of the 21st …, 2019 - dl.acm.org
… (For brevity, we refer to these three related topics as “sign language processing” … sign
language recognition as a gesture recognition problem, ignoring the complexity of sign languages

[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
… -based sign language recognition are presented. … sign language recognition systems and
reveals that perfect intelligent systems for sign language recognition are still an open problem. …

Sign language recognition systems: A decade systematic literature review

A Wadhawan, P Kumar - Archives of computational methods in …, 2021 - Springer
… on sign language recognition has been performed on static, isolated and single handed signs
… They also highlighted the main challenges for sign language recognition. Ghanem et al. […

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
… trends, and barrier concerns to sign language. Different … , we used the keywords sign
language recognition to identify … than out-ofscope sign language recognition and not written in …

Sign language recognition

H Cooper, B Holt, R Bowden - Visual Analysis of Humans: Looking at …, 2011 - Springer
… Vogler and Goldstein approach the explicit problem of sign language facial expressions,
using a deformable face model [105, 106]. They showed that by matching points to the model …