Results 51 to 60 of about 1,970 (132)
SignsWorld Atlas; a benchmark Arabic Sign Language database
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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ATLASLang NMT: Arabic text language into Arabic sign language neural machine translation
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 +1 more source
Literacy is fundamental for children’s growth and development, as it impacts their educational, societal, and vocational progress. However, the mapping of language to printed text is different for children with hearing impairments.
Shiroq Al-Megren, Aziza Almutairi
doaj +3 more sources
Recognition of Arabic Sign Language Alphabet Using Polynomial Classifiers
Building an accurate automatic sign language recognition system is of great importance in facilitating efficient communication with deaf people. In this paper, we propose the use of polynomial classifiers as a classification engine for the recognition of
M. Al-Rousan, Khaled Assaleh
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A Proposed E-Learning System for Arabic Sign Language [PDF]
There is no doubt that the Middle East region suffers from many educational problems especially within the field ofpeople with disabilities. Hearing Impaired (HI) people (especially children) have the right to a quality education, with the same content ...
Ahmed Samir, Mohamed Tolba
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Arabic Sign Language Hand Gesture Recognition Using the Support Vector Machine Algorithm
Arabic Sign Language (ArSL) plays crucial role in facilitating communication for hearing-impaired community in Arabic-speaking countries and hand gesture recognition systems can contribute to improving accessibility and enabling communication and ...
Hind I. Mohammed +4 more
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Arabic Sign Language (ARSL) Recognition and Translation into Text
Abstract Millions of deaf and hard-of-hearing individuals around the Arab world rely on sign language, yet interpreter access remains limited especially given the diversity among Arabic Sign Language (ArSL) dialects. Leveraging recent strides in deep learning, our study explores scalable, real-time recognition methods to bridge this ...
Lakehal Maya Amani +2 more
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A Proposed Model for Standard Arabic Sign Language Recognition Based on Multiplicative Neural Network [PDF]
Sign language recognition is one of the most challenging fields in Human-Computer Interface (HCI) applications.Although there are many obstacles that could dramatically limit the spread of sign language translators in our daily life, the community needs ...
Ahmed Samir +2 more
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AI-Based Arabic Sign Language to Voice Translation System
The Deaf and Hard-of-Hearing (DHH) community in the Arab region faces major communication difficulties arising solely because of the scarcity of interpreters.
Hussein A. Mutar +7 more
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Abstract Sign language is a vital communication tool for individuals with hearing impairments and those who do not speak the language of the host country. Despite its importance, sign language is not widely known and lacks universal patterns, with each country having its own unique set of signs influenced by local customs and traditions.
Nourdine HERBAZ +2 more
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