An Approach for Upper Limb Movement Intention Recognition Using EEG and sEMG Fusion based on the MCPSA-CIIM-Reference-Cited by-同舟云学术

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An Approach for Upper Limb Movement Intention Recognition Using EEG and sEMG Fusion based on the MCPSA-CIIM

Published:2023-08-19 Issue: Volume: Page:
ISSN:
Container-title:2023 WRC Symposium on Advanced Robotics and Automation (WRC SARA)
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Author:

Zhang Weiming¹,Zhang Xiaodong¹,Xu Cheng²,Zhou Guchuan²,Zhang Teng¹,Wang Yu¹

Affiliation:

1. Xi’an Jiaotong University,Shaanxi Key Laboratory of Intelligent Robot, School of Mechanical Engineering,Xi’an,Shaanxi,China

2. Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10261767/10261776/10261809.pdf?arnumber=10261809

Reference17 articles.

1. CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery;yadong;Information Fusion 95 (2023),0

2. A Coherent Electroencephalogram -Electromyogram SynchronizationMethod for Driving Human Lower Limb Movements [J];qingyi;Journal of Xi'an Jiaotong University,2022

3. Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions;ji-hoon;GigaScience 9 10 (2020) giaa098,0

4. Specificity -preserving RGBD saliency detection;zhou;2021 IEEE/CVF International Conference on Computer Vision,2021

5. Multimodal fusion of EEG and EMG signals for a hybrid BCI;xie;Chin J Biomed Eng 35 (2016),0

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