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http://dx.doi.org/10.5391/JKIIS.2015.25.3.254

Robot Control based on Steady-State Visual Evoked Potential using Arduino and Emotiv Epoc  

Yu, Je-Hun (Department of Electrical and Electronics Engineering, Chung-Ang University)
Sim, Kwee-Bo (Department of Electrical and Electronics Engineering, Chung-Ang University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.25, no.3, 2015 , pp. 254-259 More about this Journal
Abstract
In this paper, The wireless robot control system was proposed using Brain-computer interface(BCI) systems based on the steady-state visual evoked potential(SSVEP). Cross Power Spectral Density(CPSD) was used for analysis of electroencephalogram(EEG) and extraction of feature data. And Linear Discriminant Analysis(LDA) and Support Vector Machine(SVM) was used for patterns classification. We obtained the average classification rates of about 70% of each subject. Robot control was implemented using the results of classification of EEG and commanded using bluetooth communication for robot moving.
Keywords
Brain Computer Interfaces; Arduino; Emotiv Epoc. SSVEP; CPSD; Robot control;
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