A Real-Time Hand Sign Language Recognition System for Threatening Situations Using Deep Learning-Reference-Cited by-同舟云学术

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A Real-Time Hand Sign Language Recognition System for Threatening Situations Using Deep Learning

Published:2024-04-29 Issue: Volume:12 Page:1-6
ISSN:
Container-title:2024 12th International Symposium on Digital Forensics and Security (ISDFS)
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Author:

Abdulkarim Shwany Zardasht Abdulaziz¹,Ismail Shayda Khudhur²,Khalid Khoshnaw Karwan Hoshyar³,Mustafa Twana Saeed⁴,Karabatak Murat⁵,Othman Nashwan Adnan⁶

Affiliation:

1. Physiotherapy Department/ Erbil Technical Health and Medical College Erbil Polytechnic University Erbil, Iraq

2. Ministry of Higher Education and Scientific Research,Network Department,Erbil,Iraq

3. Department of Information and Communication Technology Engineering/ Erbil College of Technology, Erbil Polytechnic University Erbil, Iraq

4. Firat University,Department of Software,Elazig,Turkey

5. Department of Software, Firat University Elazig, Turkey

6. Knowledge University,Department of Computer Engineering,Erbil,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10526462/10526466/10527337.pdf?arnumber=10527337

Reference21 articles.

1. A Robust Method for Hand Gesture Segmentation and Recognition Using Forward Spotting Scheme in Conditional Random Fields

2. A Real-Time System for Recognition of American Sign Language by using Deep Learning

3. Deep Learning for Sign Language Recognition: Current Techniques, Benchmarks, and Open Issues

4. An efficient method for human hand gesture detection and recognition using deep learning convolutional neural networks

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