Results 51 to 60 of about 4,186 (143)

Arabic Sign Language Hand Gesture Recognition Using the Support Vector Machine Algorithm

Proceedings of the International Conference on Applied Innovations in IT
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, Sabah A. Abdulkareem, Mustafa N. Ghazal, Md. Rokonuzzaman, Nuha S.Mohammed   +4 more
doaj   +1 more source

Attention-Based Approach for Arabic Sign Language Recognition, Supporting Differently Abled Persons

Journal of Disability Research
Sign language serves as a critical communication channel for non-speaking individuals. In this paper, we use a vision transformer (ViT) to classify static images representing the alphabets of Arabic Sign Language.
Maram Fahaad Almufareh, Samabia Tehsin, Mamoona Humayun, Sumaira Kausar, Asad Farooq   +4 more
doaj   +1 more source

Using Deep Learning Technology for Real-Time Sign Language Detection and Recognition at Public Libraries in Egypt. [PDF]

المجلة العلمية للمكتبات والوثائق والمعلومات
Sign Language is the most expressive way for communication between deaf and hearing-impaired people, where information is majorly conveyed through the hand gestures.
مؤمن سيد
doaj   +1 more source

Hybrid Deep Learning and Fuzzy Matching for Real-Time Bidirectional Arabic Sign Language Translation: Toward Inclusive Communication Technologies

IEEE Access
Technological advances and AI tools can help address the challenges faced by individuals who are deaf or nonverbal in different areas of social interaction.
Mogeeb A. A. Mosleh, Ahmed A. A. Mohammed, Ezzaldeen E. A. Esmail, Rehab A. A. Mohammed, Basheer Almuhaya   +4 more
doaj   +1 more source

An EMG dataset for Arabic sign language alphabet letters and numbers. [PDF]

Data Brief, 2023
Ben Haj Amor A, El Ghoul O, Jemni M.
europepmc   +1 more source

Recognition of Arabic Sign Language Alphabet Using Polynomial Classifiers

EURASIP Journal on Advances in Signal Processing, 2005
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
doaj   +1 more source

AI-Based Arabic Sign Language to Voice Translation System

Proceedings of the International Conference on Applied Innovations in IT
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, Abdul Hadi M.Alaidi, Ammar A.Kazm, Saif Ali Abd Alradha Alsaidi, Haider TH. Salim Alrikabi, Ali Khalaf Hussein, Ibtihal R. N. Alrubeei, Nabaa Ali Abd Alradha Alsaeedi   +7 more
doaj   +1 more source

Atom Search Optimization with Deep Learning Enabled Arabic Sign Language Recognition for Speaking and Hearing Disability Persons. [PDF]

Healthcare (Basel), 2022
Marzouk R, Alrowais F, Al-Wesabi FN, Hilal AM.   +3 more
europepmc   +1 more source

A General Safety-Aware Hybrid Multimodal Architecture for Sign Language Understanding in Automated Vehicle Interaction

AI
Sign language understanding for automated vehicles sits at the intersection of accessibility, intelligent transportation, and safety-critical human–machine interaction.
Suresh Rasappan, Francis Saviour Devaraj, Ahamed Nishath Syed, Dilwar Islam Mazumder, Wardah Abdullah Al Majrafi   +4 more
doaj   +1 more source

Arabic Sign Language Recognition using Multimodal Approach

CoRR
Arabic Sign Language (ArSL) is an essential communication method for individuals in the Deaf and Hard-of-Hearing community. However, existing recognition systems face significant challenges due to their reliance on single sensor approaches like Leap Motion or RGB cameras.
Ghadeer Alanazi, Abir Benabid
openaire   +2 more sources