Results 31 to 40 of about 1,970 (132)

Empowering Communication: A Deep Learning Framework for Arabic Sign Language Recognition with an Attention Mechanism

Computers
This article emphasises the urgent need for appropriate communication tools for communities of people who are deaf or hard-of-hearing, with a specific emphasis on Arabic Sign Language (ArSL).
R. S. Abdul Ameer, M. A. Ahmed, Z. T. Al-Qaysi, M. M. Salih, Moceheb Lazam Shuwandy   +4 more
doaj   +2 more sources

Sign Language Recognition for Arabic Alphabets Using Transfer Learning Technique. [PDF]

Comput Intell Neurosci, 2022
Sign language is essential for deaf and mute people to communicate with normal people and themselves. As ordinary people tend to ignore the importance of sign language, which is the mere source of communication for the deaf and the mute communities.
Zakariah M, Alotaibi YA, Koundal D, Guo Y, Mamun Elahi M.   +4 more
europepmc   +2 more sources

Recent Progress in Arabic Sign Language Recognition: Utilizing Convolutional Neural Networks (CNN) [PDF]

BIO Web of Conferences
The advancement of assistive communication technology for the deaf and hard-of-hearing community is an area of significant research interest. In this study, we present a Convolutional Neural Network (CNN) model tailored for the recognition of Arabic Sign
Hassan Mosab. A., Ali Alaa. H., Sabri Atheer A.   +2 more
doaj   +2 more sources

Efficient YOLO-Based Deep Learning Model for Arabic Sign Language Recognition

Journal of Disability Research
Verbal communication is the dominant form of self-expression and interpersonal communication. Speech is a considerable obstacle for individuals with disabilities, including those who are deaf, hard of hearing, mute, and nonverbal.
Saad Al Ahmadi, Farah Mohammad, Haya Al Dawsari   +2 more
doaj   +2 more sources

Human-Computer Interaction with Hand Gesture Recognition Using ResNet and MobileNet. [PDF]

Comput Intell Neurosci, 2022
Sign language is the native language of deaf people, which they use in their daily life, and it facilitates the communication process between deaf people. The problem faced by deaf people is targeted using sign language technique. Sign language refers to the use of the arms and hands to communicate, particularly among those who are deaf.
Alnuaim A, Zakariah M, Hatamleh WA, Tarazi H, Tripathi V, Amoatey ET.   +5 more
europepmc   +2 more sources

Arabic Sign Language Recognition System: Using an Image-Based hand Gesture Detection Method to help Deaf and Dump Children to Engage in Education [PDF]

Mağallaẗ Kulliyyaẗ Al-Adāb Bi-Qinā, 2023
Hand gestures help individuals communicate in daily life. Sign languages, however, employ hand motions extensively. People with hearing impairments use sign language.
Amr Mohmed Soliman, Mahmoud M. Khattab, Abdelmoty M. Ahmed   +2 more
doaj   +1 more source

A Real Time Arabic Sign Language Alphabets (ArSLA) Recognition Model Using Deep Learning Architecture

Computers, 2022
Currently, treating sign language issues and producing high quality solutions has attracted researchers and practitioners’ attention due to the considerable prevalence of hearing disabilities around the world.
Zaran Alsaadi, Easa Alshamani, Mohammed Alrehaili, Abdulmajeed Ayesh D. Alrashdi, Saleh Albelwi, Abdelrahman Osman Elfaki   +5 more
doaj   +1 more source

CNN-LSTM Hybrid Real-Time IoT-Based Cognitive Approaches for ISLR with WebRTC: Auditory Impaired Assistive Technology.

J Healthc Eng, 2022
In the era of modern technology, people may readily communicate through facial expressions, body language, and other means. As the use of the Internet evolves, it may be a boon to the medical fields. Recently, the Internet of Medical Things (IoMT) has provided a broader platform to handle difficulties linked to healthcare, including people's listening ...
Gupta M, Thakur N, Bansal D, Chaudhary G, Davaasambuu B, Hua Q.   +5 more
europepmc   +2 more sources

A Proposed Standardization for Arabic Sign Language Benchmark Database [PDF]

The Egyptian Journal of Language Engineering, 2015
This The lack of a visualized representation for standard Arabic Sign Language (ArSL) makes it difficult to do something as commonplace as looking up an unknown word in a dictionary.
Ahmed Samir, Mohamed Tolba
doaj   +1 more source

A Computer Vision‐Based System for Recognition and Classification of Urdu Sign Language Dataset for Differently Abled People Using Artificial Intelligence

Mobile Information Systems, Volume 2023, Issue 1, 2023., 2023
Communication between normal people and deaf people is the most difficult part of daily life worldwide. It is difficult for a normal person to understand a word from the deaf one in their daily routine. So, to communicate with deaf people, different countries developed different sign languages to make communication easy.
Hira Zahid, Sidra Abid Syed, Munaf Rashid, Samreen Hussain, Asif Umer, Abdul Waheed, Shahzad Nasim, Mahdi Zareei, Nafees Mansoor, Junaid Shuja   +9 more
wiley   +1 more source