Establishing a multimodal dataset for Arabic Sign Language (ArSL) production
Journal of King Saud University: Computer and Information SciencesThis paper addresses the potential of Arabic Sign Language (ArSL) recognition systems to facilitate direct communication and enhance social engagement between deaf and non-deaf.
Samah Abbas +2 more
doaj +5 more sources
International Journal of Computational Intelligence SystemsArabic Sign Language (ArSL) is an important medium of communication for hearing and deaf communities. Recognition of ArSL is difficult, especially in signer-independent systems.
Mohammed M. Nasef +2 more
doaj +4 more sources
Machine Learning and Deep Learning Approaches for Arabic Sign Language Recognition: A Decade Systematic Literature Review [PDF]
SensorsSign language (SL) is a means of communication that is used to bridge the gap between the deaf, hearing-impaired, and others. For Arabic speakers who are hard of hearing or deaf, Arabic Sign Language (ArSL) is a form of nonverbal communication.
Asmaa Alayed
doaj +5 more sources
Towards an Arabic Sign Language (ArSL) corpus for deaf drivers [PDF]
PeerJ Computer Science, 2021 Sign language is a common language that deaf people around the world use to communicate with others. However, normal people are generally not familiar with sign language (SL) and they do not need to learn their language to communicate with them in ...
Samah Abbas +2 more
doaj +4 more sources
Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition [PDF]
Scientific ReportsArabic sign language (ArSL) is a visual-manual language which facilitates communication among Deaf people in the Arabic-speaking nations. Recognizing the ArSL is crucial due to variety of reasons, including its impact on the Deaf populace, education ...
Ahmed A. Mohamed +3 more
doaj +3 more sources
Continuous Arabic Sign Language Recognition Models [PDF]
SensorsA significant communication gap persists between the deaf and hearing communities, often leaving deaf individuals isolated and marginalised. This challenge is especially pronounced for Arabic-speaking individuals, given the lack of publicly available ...
Nahlah Algethami +5 more
doaj +3 more sources
Recognition of Arabic Sign Language (ArSL) using recurrent neural networks
2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), 2008 The objective of this paper is to introduce the use of two different recurrent neural networks in human hand gesture recognition for static images. Because neural networks are a promising tool for many human computer interaction applications, this paper ...
Manar Maraqa
exaly +3 more sources
ASLDetect: Arabic sign language detection using ResNet and U-Net like component [PDF]
Scientific ReportsSign languages are essential for communication among over 430 million deaf and hard-of-hearing individuals worldwide. However, recognizing Arabic Sign Language (ArSL) in real-world settings remains challenging due to issues like background noise ...
Naif Alasmari, Sultan Asiri
doaj +3 more sources
Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model [PDF]
SensorsSign language is an essential means of communication for individuals with hearing disabilities. However, there is a significant shortage of sign language interpreters in some languages, especially in Saudi Arabia.
Talal H. Noor +8 more
doaj +3 more sources
An automated framework for qur’anic education of the hearing-impaired using body pose classification and Arabic sign language integration [PDF]
Scientific ReportsIn this paper, an accessible pipeline of automated teaching of the Quran to deaf and hard-of-hearing students is proposed based on the identification of Arabic Sign Language (ArSL) postures that match the words of S The piping includes an instructional ...
Hany AbdElghfar +3 more
doaj +3 more sources