Title :
Feature extraction from EEG signals in SSVEP spelling system
Author :
Yamaguchi, Tomonari ; Omori, Kana ; Irie, Jun ; Inoue, Katsuhiro
Author_Institution :
Dept. of Syst. Design & Inf., Kyushu Inst. of Technol., Fukuoka, Japan
Abstract :
It is known that Electroencephalograph (EEG) signal shows specific responses according to the event (e.g. visual stimulus, cognition and motor imagery). Especially, by classifying short time EEG signal, features are used to control an electronic device (such system is called brain computer interface: BCI). In this study, we tried to construct SSVEP type EEG spelling system which uses response with cycle visual stimulus. Feature extraction methods from EEG signal during visual stimulus are discussed.
Keywords :
brain-computer interfaces; electroencephalography; feature extraction; SSVEP spelling system; cycle visual stimulus; electroencephalograph signal; electronic device; feature extraction; short time EEG signal; Accuracy; Electroencephalography; Feature extraction; Harmonic analysis; Laplace equations; Pattern recognition; Visualization; AR-model; BCI; EEG; EEG-Speller; Fourier analysis; Pattern recognition; SSVEP;
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8
