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华南理工大学 [12]
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会议论文 [12]
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内容类型:会议论文
专题:华南理工大学
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Control of a Simulated Wheelchair Based on A Hybrid Brain Computer Interface (CPCI-S收录)
会议论文
2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
作者:
Long, Jinyi[1]
;
Li, Yuanqing[1]
;
Wang, Hongtao[1]
;
Yu, Tianyou[1]
;
Pan, Jiahui[1]
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/04/15
Hybrid brain-computer interface (BCI)
motor imagery
P300
wheelchair
direction
speed
Joint Rayleigh coefficient maximization and graph based semi-supervised for the classification of motor imagery EEG (EI收录)
会议论文
2013 IEEE International Conference on Information and Automation, ICIA 2013, Yinchuan, China, August 26, 2013 - August 28, 2013
作者:
Guan, Guan[1]
;
Hu, Youpan[1,2]
;
He, Qing[1]
;
Leng, Bin[1]
;
Wang, Haibin[1,3]
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/15
Algorithms
Brain computer interface
Electroencephalography
Graphic methods
Iterative methods
Supervised learning
Support vector machines
Discriminative Dictionary Learning for EEG Signal Classification in Brain-Computer Interface (CPCI-S收录)
会议论文
2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS & VISION (ICARCV)
作者:
Zhou, Wei[1]
;
Yang, Ya[1]
;
Yu, Zhuliang[1]
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/04/15
Brain-computer interface
motor imagery
discriminative dictionary learning
sparse representation classification
A new method for motor imagery classification based on hidden Markov model (EI收录)
会议论文
Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012, Singapore, Singapore, July 18, 2012 - July 20, 2012
作者:
Yang, Ya[1]
;
Yu, Zhu Liang[1]
;
Gu, Zhenghui[1]
;
Zhou, Wei[1]
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/15
Algorithms
Estimation
Hidden Markov models
Industrial electronics
Speech recognition
Channel Selection for Motor Imagery-Based BCIs: A Semi-supervised SVM Algorithm (CPCI-S收录)
会议论文
ADVANCES IN COGNITIVE NEURODYNAMICS (II)
作者:
Long, Jinyi
;
Li, Yuanqing[1]
;
Gu, Zhenghui
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/15
Electroencephalogram (EEG)
Motor imagery
Brain computer interface (BCI)
Channels
Semi-supervised learning
Joint Channel-frequency Selection for Motor Imagery-based BCIs Using a Semi-supervised SVM Algorithm (CPCI-S收录)
会议论文
PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE
作者:
Li Yuanqing[1]
;
Long Jinyi[1]
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/04/16
Electroencephalogram (EEG)
Motor Imagery
Brain Computer Interfaces (BCIs)
Channel
Frequency Band
Semi-supervised Learning
Joint channel-frequency selection for motor imagery-based bcis using a semi-supervised SVM algorithm (EI收录)
会议论文
Proceedings of the 29th Chinese Control Conference, CCC'10, Beijing, China, July 29, 2010 - July 31, 2010
作者:
Li, Yuanqing[1]
;
Long, Jinyi[1]
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/04/16
Algorithms
Electroencephalography
Frequency bands
Interfaces (computer)
Natural language processing systems
Supervised learning
Classifying motor imagery EEG signals by iterative channel elimination according to compound weight (EI收录)
会议论文
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Sanya, China, October 23, 2010 - October 24, 2010
作者:
He, Lin[1]
;
Gu, Zhenghui[1]
;
Li, Yuanqing[1]
;
Yu, Zhuliang[1]
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/04/16
Artificial intelligence
Optimization
Classifying Motor Imagery EEG Signals by Iterative Channel Elimination according to Compound Weight (CPCI-S收录)
会议论文
ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, AICI 2010, PT II
作者:
He, Lin[1]
;
Gu, Zhenghui[1]
;
Li, Yuanqing[1]
;
Yu, Zhuliang[1]
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/04/16
Motor imagery
compound weight
CSP feature
channel elimination
linear programming
Adaptive detection of idle state in motor imagery based brain computer interface (EI收录)
会议论文
2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010, Changsha, China, May 11, 2010 - May 12, 2010
作者:
Lv, Jun[1]
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/04/16
Computational methods
Error detection
Interfaces (computer)
Mean square error
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