Feature Extraction Method of EEG Waves under Visual Recognition Task

Katsuhiro Inoue; Kousuke Kumamaru; Ryuji Yano; Akiko Hayashi; Ayumi Yamauchi; Shigeaki Matsuoka

doi:10.11499/sicep.2002.0.65.0

SICE Annual Conference 2002

DOI https://doi.org/10.11499/sicep.2002.0.65.0

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: IEEE/Industiral Electronic Society, IEEE/Robotics and Automation Society, IEEE/Control System Society

Feature Extraction Method of EEG Waves under Visual Recognition Task

Katsuhiro Inoue, Kousuke Kumamaru, Ryuji Yano, Akiko Hayashi, Ayumi Yamauchi, Shigeaki Matsuoka

Author information

Keywords: Electroencephalogram, Human Interface, Pattern Recognition

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 65

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Abstract

In this paper, it was investigated that feature extraction method of ERP (Event-Related Potential) under the visual recognition task. First, visual oddball experiments were executed. We examined obtained response EEG about amplitude characteristic, frequency characteristic, and pattern recognition based on AR model. It is confirmed that our method was effective and optimal locations of electrode were occipital by the experiment.

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