Results 61 to 70 of about 1,428 (141)

Efhamni: A Deep Learning-Based Saudi Sign Language Recognition Application

Sensors
Deaf and hard-of-hearing people mainly communicate using sign language, which is a set of signs made using hand gestures combined with facial expressions to make meaningful and complete sentences. The problem that faces deaf and hard-of-hearing people is
Lama Al Khuzayem, Suha Shafi, Safia Aljahdali, Rawan Alkhamesie, Ohoud Alzamzami   +4 more
doaj   +1 more source

Achieving State-of-the-art Accuracy in Arabic Sign Language Recognition with VideoMAE and Data Augmentation

Journal of Disability Research
The Arabic Sign Language (ArSL) plays a vital role in facilitating communication for deaf and hard-of-hearing individuals within Arabic-speaking communities, serving as a primary medium for social interaction, education, and access to services.
Bader Nasser Alkahtani, Naseem Alsraisri, Ali Jaber Almalki   +2 more
doaj   +1 more source

Arabic Sign Language Recognition for Differently-Abled Individuals Using Vision Transformers and Temporal Analysis

IEEE Access
This paper introduces an improved Arabic Sign Language Recognition (ArSLR) system that aims to facilitate increased accessibility to communication for the deaf and hard-of-hearing population.
Maram Fahaad Almufareh, Samabia Tehsin, Mamoona Humayun, Sumaira Kausar, Asad Farooq   +4 more
doaj   +1 more source

Arabic Sign Language Recognition with Deep Learning Models and Keypoint Landmarks

ELCVIA Electronic Letters on Computer Vision and Image Analysis
Communication is a fundamental aspect of human interaction, essential for expressing emotions and building relationships. While individuals with typical hearing rely on spoken language, the deaf and mute community communicates through visual gestures ...
Farah Alshanik, Saif Aljunidi, Ethar Qawasmeh   +2 more
doaj   +1 more source

Comparison of PCA Based and 2DPCA Based Arabic Sign Language Recognition System

Journal of Engineering and Sustainable Development, 2013
In order to simplify the communication between the deaf and normal people, several sign language recognition systems have been developed. In this paper, an Arabic Sign Language (ArSR) recognition system was implemented using one-dimensional principal ...
Salim Mohammed Hussein Al-Wasity
doaj  

Arabic Sign Language (ARSL) Recognition and Translation into Text

Abstract Millions of deaf and hard-of-hearing individuals around the Arab world rely on sign language, yet interpreter access remains limited especially given the diversity among Arabic Sign Language (ArSL) dialects. Leveraging recent strides in deep learning, our study explores scalable, real-time recognition methods to bridge this ...
Lakehal Maya Amani, Haddouche Milissa, Kaddouri Nassim   +2 more
openaire   +1 more source

Video-Based Arabic Sign Language Recognition with Mediapipe and Deep Learning Techniques. [PDF]

J Imaging
El-Rushaidat D, Almohammad N, Yeh R, Fayyad K.   +3 more
europepmc   +1 more source

Self-supervised learning with a contrastive VideoMoCo framework for Saudi Arabic sign language recognition using 3D convolutional networks. [PDF]

Sci Rep
Rokaya M, Hemdan DI, Alzain MA, Gad I, Atlam ES.   +4 more
europepmc   +1 more source

Innovations in Deaf Health Care Communication: Systematic Review of Sign Language Recognition Systems. [PDF]

J Med Internet Res
Marcolino MS, Oliveira LFR, Valle LR, Rosa LMMS, Sanches GTS, Santos NS, Costa MRD, Bernardino ELA, Cordeiro RAA, Prates RO, Reis ZSN, Campos MFM.   +11 more
europepmc   +1 more source

An automated framework for qur'anic education of the hearing-impaired using body pose classification and Arabic sign language integration. [PDF]

Sci Rep
AbdElghfar H, Youness HA, Wahba M, Abdelaal HM.   +3 more
europepmc   +1 more source