Results 41 to 50 of about 1,970 (132)

A Model for Qur’anic Sign Language Recognition Based on Deep Learning Algorithms

Journal of Sensors, Volume 2023, Issue 1, 2023., 2023
Deaf and dumb Muslims cannot reach advanced levels of education due to the impact of obstruction on their educational attainment. This leads to their inability to learn, recite, and understand the meanings and interpretations of the Holy Qur’an as easily as ordinary people, which also prevents them from applying Islamic rituals such as prayer that ...
Hany A. AbdElghfar, Abdelmoty M. Ahmed, Ali A. Alani, Hammam M. AbdElaal, Belgacem Bouallegue, Mahmoud M. Khattab, Gamal Tharwat, Hassan A. Youness, Giorgio Pennazza   +8 more
wiley   +1 more source

Arabic Sign Language Recognition System for Alphabets Using Machine Learning Techniques

Journal of Electrical and Computer Engineering, Volume 2021, Issue 1, 2021., 2021
In recent years, the role of pattern recognition in systems based on human computer interaction (HCI) has spread in terms of computer vision applications and machine learning, and one of the most important of these applications is to recognize the hand gestures used in dealing with deaf people, in particular to recognize the dashed letters in surahs of
Gamal Tharwat, Abdelmoty M. Ahmed, Belgacem Bouallegue, Yang Li   +3 more
wiley   +1 more source

Arabic Sign Language Recognition System Using 2D Hands and Body Skeleton Data

IEEE Access, 2021
This paper presents a novel Arabic Sign Language (ArSL) recognition system, using selected 2D hands and body key points from successive video frames. The system recognizes the recorded video signs, for both signer dependent and signer independent modes ...
Mohamed A. Bencherif, Mohammed Algabri, Mohamed A. Mekhtiche, Mohammed Faisal, Mansour Alsulaiman, Hassan Mathkour, Muneer Al-Hammadi, Hamid Ghaleb   +7 more
doaj   +1 more source

Arabic Sign Language Recognition and Generating Arabic Speech Using Convolutional Neural Network

Wireless Communications and Mobile Computing, Volume 2020, Issue 1, 2020., 2020
Sign language encompasses the movement of the arms and hands as a means of communication for people with hearing disabilities. An automated sign recognition system requires two main courses of action: the detection of particular features and the categorization of particular input data.
M. M. Kamruzzaman, Yin Zhang
wiley   +1 more source

Vision Transformers and Transfer Learning Approaches for Arabic Sign Language Recognition

Applied Sciences, 2023
Sign languages are complex, but there are ongoing research efforts in engineering and data science to recognize, understand, and utilize them in real-time applications.
Nojood M. Alharthi, Salha M. Alzahrani
doaj   +1 more source

A Novel Image-Based Arabic Hand Gestures Recognition Approach Using YOLOv7 and ArSL21L [PDF]

Fayoum University Journal of Engineering
Recognizing and documenting Arabic sign language has recently received much attention because it enhances communication between deaf persons and normal people.
Fatma Mazen, Mai Ezz-Eldin
doaj   +1 more source

Dimensionality Reduction for Offline Alphabet Arabic Sign Language Recognition using Deep Learning [PDF]

Journal of Biomedical Physics and Engineering
Background: Arabic Sign Language (ArSL) recognition remains limited in terms of technological development, compared to American Sign Language (ASL). This disparity restricts communication accessibility for individuals with hearing impairments in Arabic ...
Sari Awwad, Subhieh M. El-Salhi, Bashar Igried   +2 more
doaj   +1 more source

Multi‐modality‐based Arabic sign language recognition

IET Computer Vision, 2018
With the increase in the number of deaf‐mute people in the Arab world and the lack of Arabic sign language (ArSL) recognition benchmark data sets, there is a pressing need for publishing a large‐volume and realistic ArSL data set.
Marwa Elpeltagy, Moataz Abdelwahab, Mohamed E. Hussein, Amin Shoukry, Asmaa Shoala, Moustafa Galal   +5 more
doaj   +1 more source

Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches

Advances in Human-Computer Interaction, Volume 2024, Issue 1, 2024.
In this modern era of technology, most of the accessibility issues are handled with the help of smart devices and cutting‐edge gadgets. Smartphones play a crucial role in addressing various accessibility challenges, including voice recognition, sign language detection and interpretation, navigation systems, speech‐to‐text conversion, and vice versa ...
Iftikhar Alam, Abdul Hameed, Riaz Ahmad Ziar, Christos Troussas   +3 more
wiley   +1 more source

Detection of arabic sign language by machine learning techniques with PCA and LDA [PDF]

Engineering and Technology Journal
People need a communication channel and a way to communicate with a person or group. Deaf people communicate with others through sign language. The remarkable and rapid development in image and video recognition systems has made researchers use this ...
Mosab Hassan, Atheer Sabri, Alaa Ali
doaj   +1 more source