A neural-network based web application on real-time recognition of Pakistani sign language-Reference-Cited by-同舟云学术

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A neural-network based web application on real-time recognition of Pakistani sign language

Published:2024-09 Issue: Volume:135 Page:108761
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Mujeeb Amenah Abdul^ORCID,Khan Ali Haider^ORCID,Khalid Sindhu^ORCID,Mirza Muhammad Shaheer^ORCID,Khan Saad Jawaid

Publisher

Elsevier BV

Reference63 articles.

1. Developing a prototype to translate Text and speech to Pakistan Sign Language with bilingual subtitles: a framework;Abbas;J. Educ. Technol. Syst.,2018

2. Intelligent real-time Arabic sign language classification using attention-based inception and BiLSTM;Abdul;Comput. Electr. Eng.,2021

3. Monocular vision-based signer-independent Pakistani Sign Language Recognition system using supervised learning;Ahmed;Indian J. Sci. Technol.,2016

4. Deep learning application for effective classification of different types of psoriasis;Aijaz;J. Healthc. Eng.,2022

5. DeepArSLR: a novel signer-independent deep learning framework for isolated Arabic Sign Language gestures recognition;Aly;IEEE Access,2020

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