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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 +6 more sources
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model [PDF]
Sensors, 2023 Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people.
Kanchon Kanti Podder +9 more
doaj +4 more sources
ArYSL: Arabic Yemeni sign language datasetFigShare [PDF]
Data in BriefRecognition of Arabic Sign Language (ARSL) remains a significant challenge due to the lack of extensive datasets, particularly those that reflect hand signs in real-life situations.
Mogeeb A․ A․ Mosleh +3 more
doaj +5 more sources
Towards a Lightweight Arabic Sign Language Translation System [PDF]
SensorsThere is a pressing need to build a sign-to-text translation system to simplify communication between deaf and non-deaf people. This study investigates the building of a high-performance, lightweight sign language translation system suitable for real ...
Mohammed Algabri +3 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 +2 more sources
ArASL: Arabic Alphabets Sign Language Dataset
Data in Brief, 2019 A fully-labelled dataset of Arabic Sign Language (ArSL) images is developed for research related to sign language recognition. The dataset will provide researcher the opportunity to investigate and develop automated systems for the deaf and hard of ...
Ghazanfar Latif +4 more
doaj +4 more sources
ATLASLang NMT: Arabic text language into Arabic sign language neural machine translation
Journal of King Saud University: Computer and Information Sciences, 2021 ATLASLang is a machine translation system from Arabic text language into Arabic sign language (ArSL). The first version of the system (Brour and Benabbou, 2019) is based on two approaches: rule-based Interlingua and example-based approaches.
Mourad Brour, Abderrahim Benabbou
doaj +2 more sources
Promoting Arabic Sign Language Skills Among Dental Students [PDF]
Journal of Multidisciplinary HealthcareZuhair S Natto Department of Dental Public Health, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi ArabiaCorrespondence: Zuhair S Natto, Department of Dental Public Health, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi ...
Natto ZS
doaj +2 more sources
Transform-based Arabic sign language recognition
Procedia Computer Science, 2017 Abstract Sign language is an independent language that uses gestures and body language to convey meaning. Sign language recognition facilities the communication between deaf and community. In this paper, we investigated the use of different transformation techniques for extraction and description of features from an accumulation of signs’ frames into
Hamzah Luqman, Sabri Mahmoud
exaly +2 more sources
Computers, 2022 Currently, treating sign language issues and producing high quality solutions has attracted researchers and practitioners’ attention due to the considerable prevalence of hearing disabilities around the world.
Zaran Alsaadi +5 more
doaj +3 more sources