Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

ASL2ESL-DL: Arabic Sign Language to English Sign Language Translation System Using Deep Learning

Créateur:
AmaAyeMoh
Éditeur:
IEEE
Hôte:

Visit

doi.org

Tasks

computer visionsign-language to text

Licenses

https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-037

Similaires

Tunisian Sign Language Recognition and Translation Using Deep LearningSign Language Detection Using Deep LearningSign Language Recognition System Using Machine LearningEnhancing Communication: Automated Translation of Amharic Text to Ethiopian Sign Language using Deep Learning ApproachArabic Algerian Sign Language Translation System Based on 3D Avatar TechnologySign Language Recognition Using Deep Learning: Advancements and Challenges

Tunisian Sign Language Recognition and Translation Using Deep Learning

Sign Language Detection Using Deep Learning

Abstract: Millions of citizens worldwide suffer from deaf and hard of hearing (DHH), a communication

Sign Language Recognition System Using Machine Learning

Abstract: Voice and language is the main thing that people understand one with the other. We can und

Enhancing Communication: Automated Translation of Amharic Text to Ethiopian Sign Language using Deep Learning Approach

Communication is the day-to-day life of communities; good communication channels are crucial for mut

Arabic Algerian Sign Language Translation System Based on 3D Avatar Technology

This work focuses on the creation of tools to help deaf people learn Arabic Algerian Sign Language (

Sign Language Recognition Using Deep Learning: Advancements and Challenges

Abstract: Sign language recognition (SLR) has arisen as a major area of research in recent years, at