Gesture Recognition of Surface Electromyography Signal Based on Multi-source Domain Transfer Learning-Reference-Cited by-同舟云学术

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Gesture Recognition of Surface Electromyography Signal Based on Multi-source Domain Transfer Learning

Published:2023-11-17 Issue: Volume: Page:245-248
ISSN:
Container-title:2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC)
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Author:

Yang Jingjing¹,Meng Fanyu²,Wu Yan²,Zhang Anyuan²

Affiliation:

1. Changchun University of Science and Technology,The School of Artificial Intelligence,7089 Weixing Road, Changchun,Jilin,China

2. Changchun University of Science and Technology,The School of Science and Technology,7089 Weixing Road, Changchun,Jilin,China

Funder

Jilin Scientific and Technological Development Program

Education Department of Jilin Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455087/10454140/10456129.pdf?arnumber=10456129

Reference14 articles.

1. Non-Invasive Human-Machine Interface (HMI) Systems With Hybrid On-Body Sensors for Controlling Upper-Limb Prosthesis: A Review

2. Deep Learning for EMG-based Human-Machine Interaction: A Review

3. A Review of Techniques for Surface Electromyography Signal Quality Analysis

4. Surface Electromyography as a Natural Human–Machine Interface: A Review

5. Transfer learning for sEMG hand gestures recognition using convolutional neural networks

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