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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/46297

Title: EEG-Based Brain-Computer Interfaces: A Novel Neurotechnology and Computational Intelligence Method
Authors: Chin-Teng Lin
Yu-Ting Liu
Shang-Lin Wu
Zehong Cao
Yu-Kai Wang
Chih-Sheng Huang
Jung-Tai King
Shi-An Chen
Shao-Wei Lu
Chun-Hsiang Chuang
Contributors: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
Keywords: Electroencephalography;Electrodes;Sensors;Feature extraction;Biometrics (access control);Cybernetics;Brain modeling;Brain-computer interfaces
Date: 2017-10
Issue Date: 2018-05-14T07:46:09Z
Publisher: IEEE Systems, Man, and Cybernetics Magazine
Abstract: Abstract:
This article presents the latest BCI-related research done in our group. Our previous work applied computational intelligence technology in BCIs to inspire detailed investigations of practical issues in real-life applications. Novel EEG devices featuring dry electrodes facilitate and speed up electrode positioning before recording and allow subjects to move freely in operational environments. We also demonstrate the feasibility of applying CCA, RBFNs, effective connectivity measurements, and D-S theory to help BCIs extract informative knowledge from brain signals. Two recent trends in research in the computational and artificial intelligence community, big data and deep learning, are expected to impact the direction and development of BCIs.
Relation: 3(4), pp.16-26
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/46297
Appears in Collections:[資訊工程學系] 期刊論文

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