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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3DZSignDB: 3D avatar SigML data for Algerian sign languageZenodo [PDF]
Data in BriefWe present a dataset of Algerian Sign Language (ALSL) used to develop a translation system into a 3D avatar. We used the Notation System Method, which is mostly based on the Hamburg Notation System (HamNoSys), to encode 417 ALSL lexical signs.
Taha Zerrouki +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
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A comparison of Arabic sign language dynamic gesture recognition models [PDF]
Heliyon, 2020 Miada Almasre
exaly +2 more sources
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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SignsWorld Atlas; a benchmark Arabic Sign Language database
Journal of King Saud University: Computer and Information Sciences, 2015 Research has increased notably in vision-based automatic sign language recognition (ASLR). However, there has been little attention given to building a uniform platform for these purposes. Sign language (SL) includes not only static hand gestures, finger
Samaa M. Shohieb +2 more
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SignVLM: a pre-trained large video model for sign language recognition [PDF]
PeerJ Computer ScienceSign language recognition (SLR) plays a vital role in including people with hearing impairment in the community. It facilitates the recognition of sign gestures and converts them into spoken languages.
Hamzah Luqman
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VDzSL: A synthetic video dataset for Algerian sign language using 3D avatarszenodo [PDF]
Data in BriefVideo datasets are crucial for advancing communication technologies for deaf and hard-of-hearing individuals. Despite that, extensive datasets are not available for the majority of sign languages due to the ample work required to capture, clean, organize,
Younes Ouargani, Noussaima El Khattabi
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Arabic Sign Language Recognition System: Using an Image-Based hand Gesture Detection Method to help Deaf and Dump Children to Engage in Education [PDF]
Mağallaẗ Kulliyyaẗ Al-Adāb Bi-Qinā, 2023 Hand gestures help individuals communicate in daily life. Sign languages, however, employ hand motions extensively. People with hearing impairments use sign language.
Amr Mohmed Soliman +2 more
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Recognize The Alphabet of Fingerspelling Using Statistical Classifiers to Facilitate Communication Between Hearing-Impaired Persons and Others [PDF]
Mağallaẗ Kulliyyaẗ Al-Adāb Bi-Qinā, 2022 The predominant method of communication for hearing-impaired and deaf people is still sign language. It is a carefully constructed hand gesture language, and each motion denotes a certain meaning.
Amr Mohmed Soliman +2 more
doaj +1 more source