Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model [PDF]
SensorsAyman Noor +2 more
exaly +2 more sources
Machine Learning and Deep Learning Approaches for Arabic Sign Language Recognition: A Decade Systematic Literature Review [PDF]
SensorsAsmaâ Alayed
exaly +2 more sources
A COMPARATIVE STUDY USING 2D CNN AND TRANSFER LEARNING TO DETECT AND CLASSIFY ARABIC-SCRIPT-BASED SIGN LANGUAGE [PDF]
Acta Informatica Malaysia, 2023 Nowadays, Sign Language Recognition (SLR) plays a significant impact in the disabled community because it is utilized as a learning tool for everyday tasks like interaction, education, training, and human activities.
Karwan Mahdi Hama Rawf +4 more
doaj +1 more source
A Proposed Model for Standard Arabic Sign Language Recognition Based on Multiplicative Neural Network [PDF]
The Egyptian Journal of Language Engineering, 2014 Sign language recognition is one of the most challenging fields in Human-Computer Interface (HCI) applications.Although there are many obstacles that could dramatically limit the spread of sign language translators in our daily life, the community needs ...
Ahmed Samir +2 more
doaj +1 more source
Sign Language Recognition: High Performance Deep Learning Approach Applyied To Multiple Sign Languages [PDF]
E3S Web of Conferences, 2022 In this paper we present a high performance Deep Learning architecture based on Convolutional Neural Network (CNN). The proposed architecture is effective as it is capable of recognizing and analyzing with high accuracy different Sign language datasets ...
El Zaar Abdellah +2 more
doaj +1 more source
Image-Based Arabic Sign Language Recognition System Using Transfer Deep Learning Models
Applied Computational Intelligence and Soft Computing, 2023 Sign language is a unique communication tool helping to bridge the gap between people with hearing impairments and the general public. It holds paramount importance for various communities, as it allows individuals with hearing difficulties to ...
Qanita Bani Baker +3 more
doaj +1 more source
Arabic Sign Language Translator [PDF]
Journal of Computer Science, 2019 Development of systems that can recognize the gestures of Arabic Sign language (ArSL) provides a method for hearing impaired to easily integrate into society. This paper aims to develop a computational structure for an intelligent translator to recognize the isolated dynamic gestures of the ArSL. In our proposed system we build a datasets for ArSL from
Abdelmoty M. Ahmed +6 more
openaire +1 more source
Design of Arabic Sign Language Recognition Model
CoRR, 2023 Deaf people are using sign language for communication, and it is a combination of gestures, movements, postures, and facial expressions that correspond to alphabets and words in spoken languages. The proposed Arabic sign language recognition model helps deaf and hard hearing people communicate effectively with ordinary people.
Muhammad Al-Barham +2 more
openaire +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
Facilitating the communication with deaf people: Building a largest Saudi sign language dataset
Journal of King Saud University: Computer and Information Sciences, 2023 Recently, several countries have been trying hard to facilitate the integration of disabled people into their societies by ensuring equal opportunities through ease of access to social services, daily human necessities, and the labor market.
Mansour Alsulaiman +15 more
doaj +1 more source