Title :
Feature extraction from EEG signals in P300 spelling system
Author :
Omori, Kana ; Yamaguchi, Tomonari ; Inoue, Katsuhiro
Author_Institution :
Dept. of Syst. Innovation & Inf., Grad. Sch. of Comput. Sci. & Technol., Japan
Abstract :
Recently, there are many studies on brain computer interface (BCI) system and some use EEG response at oddball paradigms. The aim of this paper is to extract feature (i.e. P300 response) from the EEG signals to improve the spelling system. We propose the method to analyze the averaged EEG signal concerned time and spatial. It is confirmed that the processing period with feature extraction is able to be shortened by averaging multi-channels. Effective information is obtained from the EEG signal near of the center part.
Keywords :
brain-computer interfaces; electroencephalography; feature extraction; handicapped aids; medical signal processing; BCI system; EEG signal; P300 spelling system; brain computer interface system; communication multichannel; electroencephalogram; feature extraction; handicapped user; oddball paradigm; Brain computer interfaces; Computer science; Data mining; Electroencephalography; Enterprise resource planning; Feature extraction; Informatics; Pattern recognition; Scalp; Technological innovation; EEG; P300; brain computer interface; spelling device;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
