Results 61 to 70 of about 1,970 (132)

Deep Learning Approach for Arabic Sign Language Alphabet Recognition

Salud, Ciencia y Tecnología
Introduction: Sign language plays a crucial role in enabling communication for individuals with hearing impairments. Among the various sign languages, Arabic Sign Language (ArSL) is one of the most widely used in the Arab world.
Abdelfatah Maarouf, Otman Maarouf, Rachid El Ayachi, Mohamed Biniz   +3 more
semanticscholar   +1 more source

Comparison of Four SVM Classifiers Used with Depth Sensors to Recognize Arabic Sign Language Words

Computers, 2017
The objective of this research was to recognize the hand gestures of Arabic Sign Language (ArSL) words using two depth sensors. The researchers developed a model to examine 143 signs gestured by 10 users for 5 ArSL words (the dataset).
Miada A. Almasre, Hana Al-Nuaim
doaj   +1 more source

Fusing Geometric and Temporal Deep Features for High-Precision Arabic Sign Language Recognition

Computer Modeling in Engineering & Sciences
: Arabic Sign Language (ArSL) recognition plays a vital role in enhancing the communication for the Deaf and Hard of Hearing (DHH) community. Researchers have proposed multiple methods for automated recognition of ArSL; however, these methods face ...
Yazeed Alkharijah, Shehzad Khalid, S. Usman, Amina Jameel, Danish Hamid   +4 more
semanticscholar   +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

A DEEP NEURAL NETWORK FRAMEWORK FOR ACCURATE AND NOISE-ROBUST RECOGNITION OF ARABIC SIGN LANGUAGE

Journal of Dynamics and Control
This paper proposes a deep neural network framework for robust and accurate recognition of Arabic Sign Language (ArSL) gestures. The system employs a multi-layer convolutional neural network (CNN) architecture optimized for spatial feature extraction ...
M. Benkaddour
semanticscholar   +1 more source

Real-Time Arabic Sign Language Recognition Using YOLOv5

International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
: Sign language is a vital means of communication for the deaf and hard-of-hearing community, yet automatic recognition still faces many challenges. While several sign languages have seen major advances in recognition systems, Arabic sign language (ArSL)
Zainab Abualhassan, Haidar Ramadhan, Mohammed Faisal Naji, Hajar Alsulaili   +3 more
semanticscholar   +1 more source

Moroccan Sign Language Recognition with a Sensory Glove Using Artificial Neural Networks

Digital
Every day, countless individuals with hearing or speech disabilities struggle to communicate effectively, as their conditions limit conventional verbal interaction.
Hasnae El Khoukhi, Assia Belatik, Imane El Manaa, My Abdelouahed Sabri, Yassine Abouch, Abdellah Aarab   +5 more
doaj   +1 more source

A dual-architecture deep learning pipeline for real-time high-accuracy Arabic sign language recognition

Discover Artificial Intelligence
This paper presents a dual-architecture deep learning pipeline for real-time Arabic Sign Language (ArSL) recognition, designed to enhance communication accessibility for the Deaf and Hard of Hearing community.
Asmaa Y. Othman, Amira Gaber, Shereen M. El-Metwally   +2 more
doaj   +1 more source

Design a smart platform translating Arabic sign language to English language

International Journal of Electrical and Computer Engineering (IJECE)
Sign language is the only means of communication for deaf and hearing-disabled people in their communities. It uses body language and gestures, such as hand shapes and facial expressions, to convey a message. It is important to note that sign language is
Maha Alamri, Sonia Lajmi
semanticscholar   +1 more source

Arabic Sign Language Recognition in Real Time Using Transfer Deep Learning

AlQalam journal of medical and applied sciences
People with hearing and speech disabilities in Arab society have obstacles to communicate since Arabic sign language (ArSL) has not been widely understood among society's members.
Noura Alshareef, Rema Abobake, Asma Abd Aljalil   +2 more
semanticscholar   +1 more source