Results 1 to 10 of about 70 (63)
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. It is a classical machine translation system, its limitations are the linguistic knowledge necessary to develop ...
Abderrahim Benabbou
exaly +3 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 A Mahmoud
exaly +2 more sources
SignsWorld Atlas; a benchmark Arabic Sign Language database
Journal of King Saud University - Computer and Information Sciences, 2015 AbstractResearch 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 spelling, hand motions (which are called manual signs “MS”) but also facial expressions ...
Samaa M Shohieb
exaly +3 more sources
Arabic Sign Language Translator [PDF]
Journal of Computer Science, 2019 Development of systems that can recognize the gestures of Arabic Sign language (ArSL) provides a method for hearing impaired to easily integrate into society. This paper aims to develop a computational structure for an intelligent translator to recognize the isolated dynamic gestures of the ArSL. In our proposed system we build a datasets for ArSL from
Abdelmoty M. Ahmed +6 more
openaire +1 more source
Design of Arabic Sign Language Recognition Model
CoRR, 2023 Deaf people are using sign language for communication, and it is a combination of gestures, movements, postures, and facial expressions that correspond to alphabets and words in spoken languages. The proposed Arabic sign language recognition model helps deaf and hard hearing people communicate effectively with ordinary people.
Muhammad Al-Barham +2 more
openaire +2 more sources
Arabic Sign Language: A Perspective [PDF]
Journal of Deaf Studies and Deaf Education, 2005 Sign language in the Arab World has been recently recognized and documented. Many efforts have been made to establish the sign language used in individual countries, including Jordan, Egypt, Libya, and the Gulf States, by trying to standardize the language and spread it among members of the Deaf community and those concerned. Such efforts produced many
openaire +2 more sources
Arabic Sign Language Recognition
International Journal of Computer Applications, 2014 The objective of the research presented in this paper is to facilitate the communication between the deaf and non deaf people. To achieve this goal, computers should be able to visually recognize hand gestures from image input. An efficient and fast algorithm for gestures of manual Arabic letters for the sign language is proposed.
El-Sayed Mostafa Saad +3 more
openaire +1 more source
RGB Arabic Alphabets Sign Language Dataset
CoRR, 2023 This paper introduces the RGB Arabic Alphabet Sign Language (AASL) dataset. AASL comprises 7,856 raw and fully labelled RGB images of the Arabic sign language alphabets, which to our best knowledge is the first publicly available RGB dataset. The dataset is aimed to help those interested in developing real-life Arabic sign language classification ...
Muhammad Al-Barham +6 more
openaire +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 hearing people using machine learning, computer vision and deep learning algorithms.
Ghazanfar Latif +4 more
openaire +3 more sources
Continuous Arabic Sign Language Recognition Models
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 Arabic Sign Language datasets and dedicated recognition systems.
Nahlah Algethami +5 more
openaire +3 more sources