An Auto-ANN for EMG Classification for the Motion Recognition of the Human Hand-Reference-Cited by-同舟云学术

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An Auto-ANN for EMG Classification for the Motion Recognition of the Human Hand

Published:2022-07-15 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Information Technologies & Smart Industrial Systems (ITSIS)
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Author:

Briouza Sami¹,Gritli Hassène²,Khraief Nahla¹,Belghith Safya¹,Singh Dilbag³

Affiliation:

1. National Engineering School of Tunis University of Tunis,RISC Lab (LR16ES07),Tunis,Tunisia,1002

2. Higher Institute of Information and Communication Technologies, University of Carthage Borj Cedria,RISC Lab (LR16ES07),Tunis,Tunisia,1164

3. School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology,Gwangju,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10117588/10118357/10118372.pdf?arnumber=10118372

Reference25 articles.

1. sEMG-Based Gesture Recognition with Convolution Neural Networks

2. Gesture Recognition Using Surface Electromyography and Deep Learning for Prostheses Hand: State-of-the-Art, Challenges, and Future

3. Hand gesture recognition based improved multi-channels CNN architecture using EMG sensors

4. Hand Gesture Recognition Using Compact CNN via Surface Electromyography Signals

5. Research on gesture based on ga-svm;gong;Journal of Information and Communication Engineering,2019

Cited by 1 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. CRNN-Based Classification of EMG Signals for the Rehabilitation of the Human Arm;Complex Systems and Their Applications;2023-12-01

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