ESMAANI: A Static and Dynamic Arabic Sign Language Recognition System Based on Machine and Deep Learning Models-Reference-Cited by-同舟云学术

ESMAANI: A Static and Dynamic Arabic Sign Language Recognition System Based on Machine and Deep Learning Models

Published:2022-12-27 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)
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Author:

Hisham Essam¹,Saleh Sherine Nagy¹

Affiliation:

1. Arab Academy for Science, Technology and Maritime Transport,Computer Engineering Department,Alexandria,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10018924/10018967/10019112.pdf?arnumber=10019112

Reference23 articles.

1. Dynamic Hand Gesture Recognition of Arabic Sign Language using Hand Motion Trajectory Features;abdalla;Global Journal of Computer Science and Technology,2013

2. Arabic Sign Language Characters Recognition Based on Deep Learning Approach and a Simple Linear Classifier

3. Convolutional LSTM network: A machine learning approach for precipitation nowcasting;shi;ArXiv,0

4. Arabic sign language (ArSL) recognition system using HMM;elsayed;Int J Adv Comput Sci Appl,2011

5. Feature extraction of dynamic sign language based on dct;aldelfy;Iraqi Journal of Computer Communication Control and System Engineering,2020

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