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

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

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. The literature shows that Arabic Sign Language (ArSL) is one of the most popular sign lang...

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Bibliographic Details
Main Authors: Zaran Alsaadi, Easa Alshamani, Mohammed Alrehaili, Abdulmajeed Ayesh D. Alrashdi, Saleh Albelwi, Abdelrahman Osman Elfaki
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Computers
Subjects:
deep learning
Arabic Sign Language alphabetic
AlexNet architecture
transfer learning
data augmentation
Online Access:https://www.mdpi.com/2073-431X/11/5/78

Internet

https://www.mdpi.com/2073-431X/11/5/78

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