ArSL21L: Arabic Sign Language Letter Dataset Benchmarking and an Educational Avatar for Metaverse Applications-Reference-Cited by-同舟云学术

ArSL21L: Arabic Sign Language Letter Dataset Benchmarking and an Educational Avatar for Metaverse Applications

Published:2022-03-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Global Engineering Education Conference (EDUCON)
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Author:

Batnasan Ganzorig¹,Gochoo Munkhjargal¹,Otgonbold Munkh-Erdene¹,Alnajjar Fady¹,Shih Timothy K²

Affiliation:

1. United Arab Emirates University,Computer Science and Software Engineering Department,Al Ain,United Arab Emirates

2. National Central University,Taoyuan City,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9766427/9766377/09766497.pdf?arnumber=9766497

Reference28 articles.

1. User-Dependent Sign Language Recognition Using Motion Detection

2. Arabic Sign Language Alphabet Recognition Based on HOG-PCA Using Microsoft Kinect in Complex Backgrounds

3. Man-Machine Interaction System for Subject Independent Sign Language Recognition

4. ASLR: Arabic Sign Language Recognition Using Convolutional Neural Networks;althagafi;IJCSNS International Journal of Computer Science and Network Security,2020

5. A comparison of Arabic sign language dynamic gesture recognition models

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