Results 111 to 120 of about 1,970 (132)
Some of the next articles are maybe not open access.
MyVoice: A Real-Time Arabic Sign Language Recognition System for Deaf and Mute Individuals
International Conferences on Computing AdvancementsThe deaf and mute community in Arab-speaking societies encounters significant communication challenges, particularly when engaging with individuals unfamiliar with sign language. Several works have attempted to address this problem, but many of them lack
Aliaa Al-Ajji +4 more
semanticscholar +1 more source
Arabic Sign Language Detection Using MediaPipe and Machine Learning Techniques
2025 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA)Arabic Sign Language (ArSL) detection represents an important area of research in assistive communication technology for sign language users. This study investigates a machine learning (ML) approach for ArSL detection.
Youssef Farhan +2 more
semanticscholar +1 more source
RAFID: A Hybrid ResNet50-ViT Framework for Arabic Sign Language Recognition in Healthcare
International Conference on Wireless Communications and Mobile ComputingSign language, is a visual communication system that uses hand shapes, facial expressions, and body gestures. These languages are region specific. For instance, Arabic Sign Language (ArSL) differs significantly from English Sign Language.
Ibtihel Mansour +3 more
semanticscholar +1 more source
Review on Artificial Intelligence Techniques for Recognizing Arabic Sign Language
International Conference on Artificial Intelligence and Soft ComputingSign language is important to enable communication for people with hearing impairments. Over the past few years, artificial intelligence technologies have opened the door to designing models, which can help these individuals become more integrated and ...
Taghreed Saleh Al-Jarboi +1 more
semanticscholar +1 more source
2025 3rd International Conference on Business Analytics for Technology and Security (ICBATS)
Arabic Sign Language (ArSL) possesses its grammar, separate from spoken Arabic, and is crucial for the deaf to communicate. Such a difference tends to create barriers for hearing people, and hence attempts are made to develop recognition systems for ...
Hanaa A. Atwa +4 more
semanticscholar +1 more source
Arabic Sign Language (ArSL) possesses its grammar, separate from spoken Arabic, and is crucial for the deaf to communicate. Such a difference tends to create barriers for hearing people, and hence attempts are made to develop recognition systems for ...
Hanaa A. Atwa +4 more
semanticscholar +1 more source
Arabic Sign Language Recognition using MediaPipe and Deep Neural Network
OPTIMAIndividuals with hearing impairments who use Arabic Sign Language (ArSL) often face communication barriers in daily life due to societal unfamiliarity with sign language, limiting their social and professional integration.
Youssef Farhan +3 more
semanticscholar +1 more source
A New Approach for Arabic Sign Language Recognition (ArSLR)
Novel Intelligent and Leading Emerging Sciences ConferenceThis paper presents a new approach for Arabic sign language (ArSL) recognition, employing advanced feature extraction and machine learning techniques. Using Media-Pipe, a robust framework for real-time hand and pose detection, key features are extracted ...
A. Farouk +7 more
semanticscholar +1 more source
A machine translation system from Arabic sign language to Arabic
Universal Access in the Information Society, 2019Hamzah Luqman +2 more
exaly