Presentation 2010-03-09
Viewed Character Estimation using Single-trial EEG Waveform across the Perceptual Process
Minoru NAKAYAMA, Hiroshi ABE,
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Abstract(in English) This paper examines the possibility of classifying characters when viewed by subjects in single trials using single-channel EEG waveforms of the frontal area (Fz) and the occipital area (Oz) of the brain. The first 20 trials for each character were used for calibration, and the remaining trials were assigned to the test data set. Feature vectors for each trial were created as EEG waveforms from 100 up to 800 msec, after the stimuli was shown. To extract features of waveforms, the regression relationship between EEG and ERP waveforms was used to transform observed signals. As a result, the performance of cross validation rates of the test data set increased incrementally during the perceptual process, for both Fz and Oz, when the predicted waveforms were measured using the regression relationship. Also, the effectiveness of the prediction using the regression relationship for the classification performance of viewed characters was determined during the perceptual process.
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Keyword(in English) EEG waveform / Single-trial / Event-related potential / Character recognition / Discrimination
Paper # MBE2009-109
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Conference Information
Committee MBE
Conference Date 2010/3/2(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Viewed Character Estimation using Single-trial EEG Waveform across the Perceptual Process
Sub Title (in English)
Keyword(1) EEG waveform
Keyword(2) Single-trial
Keyword(3) Event-related potential
Keyword(4) Character recognition
Keyword(5) Discrimination
1st Author's Name Minoru NAKAYAMA
1st Author's Affiliation CRADLE, Tokyo Institute of Technology()
2nd Author's Name Hiroshi ABE
2nd Author's Affiliation Human System Science, Tokyo Institute of Technology
Date 2010-03-09
Paper # MBE2009-109
Volume (vol) vol.109
Number (no) 460
Page pp.pp.-
#Pages 6
Date of Issue