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
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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
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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
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A comparison of Arabic sign language dynamic gesture recognition models [PDF]
Heliyon, 2020 Arabic Sign Language (ArSL) is similar to other sign languages in terms of the way it is gestured and interpreted and used as a medium of communication among the hearing-impaired and the communities in which they live in.
Miada A. Almasre, Hana Al-Nuaim
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An Automatic Arabic Sign Language Recognition System (ArSLRS)
Journal of King Saud University: Computer and Information Sciences, 2018 Sign language recognition system (SLRS) is one of the application areas of human computer interaction (HCI) where signs of hearing impaired people are converted to text or voice of the oral language.
Nada B. Ibrahim +2 more
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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
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Pose-Based Static Sign Language Recognition with Deep Learning for Turkish, Arabic, and American Sign Languages [PDF]
SensorsAdvancements in artificial intelligence have significantly enhanced communication for individuals with hearing impairments. This study presents a robust cross-lingual Sign Language Recognition (SLR) framework for Turkish, American English, and Arabic ...
Rıdvan Yayla +2 more
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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
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Multi‐modality‐based Arabic sign language recognition
IET Computer Vision, 2018 With the increase in the number of deaf‐mute people in the Arab world and the lack of Arabic sign language (ArSL) recognition benchmark data sets, there is a pressing need for publishing a large‐volume and realistic ArSL data set.
Marwa Elpeltagy +5 more
doaj +2 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 +2 more sources