Arabic Sign Language Recognition System Using 2D Hands and Body Skeleton Data

Author:

Bencherif Mohamed A.ORCID,Algabri MohammedORCID,Mekhtiche Mohamed A.ORCID,Faisal MohammedORCID,Alsulaiman MansourORCID,Mathkour Hassan,Al-Hammadi MuneerORCID,Ghaleb HamidORCID

Funder

Deanship of Scientific Research-King Saud University through the Research Group

Researchers Support and Services Unit-RSSU at King Saud University for their technical support

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 35 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A neural-network based web application on real-time recognition of Pakistani sign language;Engineering Applications of Artificial Intelligence;2024-09

2. Human Pose Estimation Based on ISAR and Deep Learning;IEEE Sensors Journal;2024-09-01

3. Hand-Aware Graph Convolution Network for Skeleton-Based Sign Language Recognition;Journal of Information and Intelligence;2024-08

4. MudraNet Kannada Sign Language Recognition Using Machine Learning;2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2024-07-04

5. Intelligent real-life key-pixel image detection system for early Arabic sign language learners;PeerJ Computer Science;2024-06-14

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