The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2015
Session ID : 1P1-T07
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1P1-T07 Study on Analysis of Electroencephalogram for Brain Machine Interface
Takumi MATSUOChiharu ISHII
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Abstract
This paper discusses a detection method of steady state visual evoked potential (SSVEP) in short time for the sake of future use in brain machine interface (BMI). Preliminary experiments were carried out to determine the form and color of a blinking symbol and the number of the electrodes to be used. As results, the blinking symbol was chosen as white square, and the background color was chosen as black. In addition, three electrodes were chosen to be used. Using the short time Fourier transform (STFT) and the moving-average method, the analysis method of electroencephalogram (EEG) for detecting SSVEP and detection conditions of SSVEP were determined. Then, experiments for detecting SSVEP were executed using the blinking animation, in which the white square symbol blinks in 8Hz, 10Hz, 12Hz, and 15Hz respectively, as visual stimulus. As for the blinking stimulus in 8Hz and 10Hz, the detection rate of 75% was obtained in 6 seconds, and as for the blinking stimulus in 12Hz and 15Hz, the detection rate of 100% was obtained in 6 seconds.
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© 2015 The Japan Society of Mechanical Engineers
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