Real-time System for Translating American Sign Language to Text Using Robust Techniques-Reference-Cited by-同舟云学术

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Real-time System for Translating American Sign Language to Text Using Robust Techniques

Published:2023-11-23 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET)
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Author:

Dabwan Basel A.¹,Jadhav Mukti E.²,Abosaq Hamad A.³,Olayah Fekry A.⁴,Al Yami Mohammed⁵,Abdelrahman Yahya A.⁶

Affiliation:

1. AlBaydha University,Department of Information System,AlBaydha,Yemen

2. Shri Shivaji Science & Art College,Department of Computer Science,India

3. Najran University,Computer Science Dep.,Kingdom of Saudi Arabia

4. Najran University Kingdom of Saudi Arabia,Department of Information System

5. Najran University,Faculty of Computer Science and Information Systems,Department of Information Systems,Kingdom of Saudi Arabia

6. Najran University,College of Computer Science and Information Systems,Department of Information System,Kingdom of Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419871/10419877/10420110.pdf?arnumber=10420110

Reference18 articles.

1. Recognition of American Sign Language Using Deep Convolution Network

2. Gesture recognition using recurrent neural networks

3. Real-time hand-tracking with a color glove

4. Hand gesture recognition for sign language: a new hybrid approach;Rekha

5. Sign language classification using webcam images;Kurdyumov,2011

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