Results 71 to 80 of about 1,970 (132)

Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model. [PDF]

Sensors (Basel), 2023
Podder KK, Ezeddin M, Chowdhury MEH, Sumon MSI, Tahir AM, Ayari MA, Dutta P, Khandakar A, Mahbub ZB, Kadir MA.   +9 more
europepmc   +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

Investigating The Use Of Leap Motion Controller In Recognition Of Arabic Sign Language

Educational Administration: Theory and Practice
We communicate daily using multiple means. However, a respectable percentage of people have a specific way of communication. These are deaf people who use sign language as an essential way of communicating.
Omar Asiri, A. O. Elfaki, Mohamed Abushaira   +2 more
semanticscholar   +1 more source

Improved Arithmetic Optimization Algorithm with Transfer Learning based Arabic Sign Language Identification System

ACM Transactions on Asian and Low-Resource Language Information Processing
The Arabic sign language (ArSL) has witnessed ground-breaking research activities to identify hand gestures and signs through the deep learning (DL) model. SL is a unique communication tool that bridges the gaps between people with hearing impairment and
M. Alzaidi
semanticscholar   +1 more source

An EMG dataset for Arabic sign language alphabet letters and numbers. [PDF]

Data Brief, 2023
Ben Haj Amor A, El Ghoul O, Jemni M.
europepmc   +1 more source

Deep Learning Technology to Recognize American Sign Language Alphabet. [PDF]

Sensors (Basel), 2023
Alsharif B, Altaher AS, Altaher A, Ilyas M, Alalwany E.   +4 more
europepmc   +1 more source

Toward a Vision-Based Intelligent System: A Stacked Encoded Deep Learning Framework for Sign Language Recognition. [PDF]

Sensors (Basel), 2023
Islam M, Aloraini M, Aladhadh S, Habib S, Khan A, Alabdulatif A, Alanazi TM.   +6 more
europepmc   +1 more source

New combined DT-CWT and HOG descriptor for static and dynamic hand gesture recognition. [PDF]

Multimed Tools Appl, 2023
Agab SE, Chelali FZ.
europepmc   +1 more source

Robust Identification System for Spanish Sign Language Based on Three-Dimensional Frame Information. [PDF]

Sensors (Basel), 2023
Galván-Ruiz J, Travieso-González CM, Pinan-Roescher A, Alonso-Hernández JB, Alonso-Hernández JB.   +4 more
europepmc   +1 more source

Pose-Based Static Sign Language Recognition with Deep Learning for Turkish, Arabic, and American Sign Languages. [PDF]

Sensors (Basel)
Yayla R, Üçgün H, Abbas M.
europepmc   +1 more source