Hand Gesture Recognition by Using sEMG Signals for Human Machine Interaction Applications-Reference-Cited by-同舟云学术

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Hand Gesture Recognition by Using sEMG Signals for Human Machine Interaction Applications

Published:2018-09 Issue: Volume: Page:
ISSN:
Container-title:2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)
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Author:

Sayin Fatih Serdar,Ozen Sertan,Baspinar Ulvi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8541818/8563268/08563394.pdf?arnumber=8563394

Cited by 22 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. Hand Gesture Recognition Based on Surface EMG Using Feature Fusion and Machine Learning Approaches;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

2. Hand Gesture Classification Using Surface Electromyography Signals Based on Fusion of Time Domain Features;2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI);2024-04-17

3. sEmg tabanlı el hareket tanımada farklı kol pozisyon ve açılarının sınıflandırma başarısına olan etkilerinin incelenmesi;Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi;2024-02-23

4. Stretchable, Flexible, Breathable, Self-Adhesive Epidermal Hand sEMG Sensor System;Bioengineering;2024-02-01

5. Fusion of kinematic and physiological sensors for hand gesture recognition;Multimedia Tools and Applications;2024-01-29

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