Dynamical Differential Covariance Based Brain Network for Motor Intent Recognition-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Dynamical Differential Covariance Based Brain Network for Motor Intent Recognition

Published:2024-03-01 Issue:5 Volume:24 Page:6515-6522
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Fu Rongrong¹^ORCID,Du Yushan¹,Wang Shiwei²^ORCID,Wen Guilin³,Chen Junxiang⁴^ORCID,Li Yalei⁵

Affiliation:

1. Measurement Technology and Instrumentation Key Laboratory of Hebei Province, Yanshan University, Qinhuangdao, China

2. School of Photovoltaic Materials, Jiangxi New Energy Technology Institute, Xinyu, China

3. School of Mechanical Engineering, Yanshan University, Qinhuangdao, China

4. Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA

5. School of Marxism and Mental Health Education Center, Yanshan University, Qinhuangdao, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Central Guidance on Local Science and Technology Development Fund of Hebei Province

Full-Time Introduction of National High-Level Innovation Talents Research Project of Hebei Province

Science and Technology Plan Project of Qinhuangdao

Research Project on Party Building of Universities in Hebei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10453373/10387217.pdf?arnumber=10387217

Reference35 articles.

1. A Thresholding-Free State Detection Approach for Home Appliance Control Using P300-Based BCI

2. Enhancement of SSVEPs Classification in BCI-Based Wearable Instrumentation Through Machine Learning Techniques

3. EEGNet-MSD: A Sparse Convolutional Neural Network for Efficient EEG-Based Intent Decoding

4. A Driving Fatigue Feature Detection Method Based on Multifractal Theory

5. Ensemble Machine Learning-Based Affective Computing for Emotion Recognition Using Dual-Decomposed EEG Signals

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. Detection of Pilots’ Psychological Workload during Turning Phases Using EEG Characteristics;Sensors;2024-08-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3