Peer Review #3 of "Towards an Arabic Sign Language (ArSL) corpus for deaf drivers (v0.2)"
D. Nagumothu
semanticscholar +11 more sources
Image-Based Arabic Sign Language Recognition System Using Transfer Deep Learning Models
Sign language is a unique communication tool helping to bridge the gap between people with hearing impairments and the general public. It holds paramount importance for various communities, as it allows individuals with hearing difficulties to ...
Qanita Bani Baker +3 more
doaj +2 more sources
Arabic Sign Language (ArSL) Recognition System Using HMM [PDF]
Hand gestures enabling deaf people to communication during their daily lives rather than by speaking. A sign language is a language which, instead of using sound, uses visually transmitted gesture signs which simultaneously combine hand shapes, orientation and movement of the hands, arms, lip-patterns, body movements and facial expressions to express ...
Aliaa A.A, Amal Elsayed, Heba Hamdy
openaire +2 more sources
Translating Arabic Sign Language ARSL To Text Using Artificial Neural Networks [PDF]
— A communication gap exists between the hearing and hearing-impaired communities due to a lack of familiarity with the means of communication of each. This research attempts to bridge this distance by creating Arabic Sign Language (ArSL) datasets, which
LINA ELSIDDIG, MAYADA MOHAMED
openaire +2 more sources
ArSL-CNN a convolutional neural network for Arabic sign language gesture recognition
<p class="IJASEITAbtract">Sign language (SL) is a visual language means of communication for people who are Deaf or have hearing impairments. In Arabic-speaking countries, there are many Arabic sign languages (ArSL) and these use the same alphabets.
Ali A. Alani, Georgina Cosma
openaire +4 more sources
Integrated Mediapipe with a CNN Model for Arabic Sign Language Recognition
Deaf and dumb people struggle with communicating on a day-to-day basis. Current advancements in artificial intelligence (AI) have allowed this communication barrier to be removed.
Ahmad M. J. AL Moustafa +6 more
doaj +2 more sources
Transformer Model for Direct Translation of Spoken Text to Arabic Sign Language (ArSL)
Arabic Sign Language (ArSL) is a formal language used by Deaf and Hard of Hearing communities. It helps them understand Arabic spoken by hearing people, particularly in formal speech, such as news or sermons. The production of sign language systems can support communication by translating spoken languages into ArSL videos.
Samah Abbas +2 more
openaire +2 more sources
ArASL: Arabic Alphabets Sign Language Dataset [PDF]
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 +2 more sources
A comparison of Arabic sign language dynamic gesture recognition models [PDF]
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
doaj +2 more sources
ArYSL: Arabic Yemeni sign language datasetFigShare [PDF]
Recognition 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

