scholarly journals Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces

2018 ◽  
Vol 12 ◽  
Author(s):  
Keum-Shik Hong ◽  
M. Jawad Khan ◽  
Melissa J. Hong
Keyword(s):  
Feature Extraction ◽  
Classification Methods ◽  
Brain Computer Interfaces ◽  
Computer Interfaces

Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces

2019 ◽  
Vol 57 (8) ◽  
pp. 1709-1725 ◽  
Author(s):  
Paula G. Rodrigues ◽  
Carlos A. Stefano Filho ◽  
Romis Attux ◽  
Gabriela Castellano ◽  
Diogo C. Soriano
Keyword(s):  
Feature Extraction ◽  
Functional Connectivity ◽  
Motor Imagery ◽  
Space Time ◽  
Brain Computer Interfaces ◽  
Computer Interfaces

scholarly journals Novel Features for Brain-Computer Interfaces

2007 ◽  
Vol 2007 ◽  
pp. 1-7 ◽  
Author(s):  
W. L. Woon ◽  
A. Cichocki
Keyword(s):  
Feature Extraction ◽  
Power Spectrum ◽  
Test Results ◽  
Brain Computer Interfaces ◽  
Extraction Techniques ◽  
Computer Interfaces ◽  
Nonlinear Features ◽  
Current Feature

While conventional approaches of BCI feature extraction are based on the power spectrum, we have tried using nonlinear features for classifying BCI data. In this paper, we report our test results and findings, which indicate that the proposed method is a potentially useful addition to current feature extraction techniques.

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