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Personal Identification Based on Brain Networks of EEG Signals Cover

Personal Identification Based on Brain Networks of EEG Signals

International Journal of Applied Mathematics and Computer Science
Volume 28 (2018): Issue 4 (December 2018)
By: Wanzeng Kong,  Bei Jiang,  Qiaonan Fan,  Li Zhu and  Xuehui Wei  
Open Access
|Jan 2019

Authors

Wanzeng Kong

kongwanzeng@hdu.edu.cn

College of Computer Science Hangzhou Dianzi University,, Hangzhou, China

Bei Jiang

College of Computer Science Hangzhou Dianzi University,, Hangzhou, China

Qiaonan Fan

College of Computer Science Hangzhou Dianzi University,, Hangzhou, China

Li Zhu

zhulibrain@gmail.com

School of Information Science and Engineering Xiamen University,, Xiamen, China
Laboratory for Advanced Brain Signal Processing BSI, RIKEN, Wako,, Saitama, Japan

Xuehui Wei

College of Computer Science Hangzhou Dianzi University,, Hangzhou, China
DOI: https://doi.org/10.2478/amcs-2018-0057 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Journal RSS Feed
Language: English
Page range: 745 - 757
Submitted on: May 26, 2017
|
Accepted on: Mar 20, 2018
|
Published on: Jan 11, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
EEG,
personal identification,
brain network,
phase synchronization
Related subjects:
Mathematics,
Applied mathematics

© 2019 Wanzeng Kong, Bei Jiang, Qiaonan Fan, Li Zhu, Xuehui Wei, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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