[1]ZHANG Xiaonan,LIU Jianping.Summary on the research for Graz-brain-computer interface[J].CAAI Transactions on Intelligent Systems,2013,8(5):395-399.[doi:10.3969/j.issn.1673-4785.201304055]
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Summary on the research for Graz-brain-computer interface

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 8 Number of periods: 2013 5 Page number: 395-399 Column: 综述 Public date: 2013-10-25
Title:
Summary on the research for Graz-brain-computer interface
Author(s):
ZHANG Xiaonan 1;  LIU Jianping 2
1.Information Engineering Department, Chinese Armed Police Force Engineering University, Xi’an 710086, China; 2. College of Science, Chinese Armed Police Force Engineering University, Xi’an 710086, China
Keywords:
Graz-BCI;  BCI;  control for motion thinking;  μ rhythm synchronization;  adaptive regression parameter;  power feature of complex wave band;  phase synchronization features;  adaptive classifier
CLC:
TP391.4
DOI:
10.3969/j.issn.1673-4785.201304055
Abstract:
On the basis of defining the related concepts and research background of brain computer interface (BCI), the present research situation of Graz-BCI are summarized from two aspects including both research content and research application. The key technologies of Graz-BCI for such aspects as control for motion thinking, μ rhythm synchronization, adaptive regression parameter, power feature of complex wave band, phase synchronization features and adaptive classifier, are induced. The research basis, test method and related parameters on the control for motion thinking, the classifier matching the adaptive regression parameter, the power feature of complex wave band and phase synchronization features on basis of phase, ADIM (adaptive information matrix) and ALDA (adaptive linear discriminant analysis) adaptive classifier, are introduced. The relevant application of Graz-BCI technology on the aspects of nerve prosthesis and spelling equipment are summarized, in addition, the developing trend of Graz-BCI on such aspects as the control for motion thinking, “brain switch” and the optical BCI prototype machine are pointed out.
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