A basic method for classifying humans based on an EEG analysis

Shin ichi Ito, Yasue Mitsukura, Minoru Fukumi

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

This paper introduces a method for classifying humans by analyzing prefrontal cortex electroencephalogram (EEG) activity to extract and confirm distinct response features on listening to music that the user feels matches his/her mood, does not match his/her mood, or otherwise. The proposed method constitutes analyzing EEG signals obtained from monitoring human response features and classifying the human subjects according to the different frequency bands of the power spectrum of the EEG signal. The performance of the proposed method is evaluated using real EEG data. We confirm that we can classify humans into at least three groups.

本文言語English
ホスト出版物のタイトル2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
ページ1783-1786
ページ数4
DOI
出版ステータスPublished - 2008 12月 1
外部発表はい
イベント2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 - Hanoi, Viet Nam
継続期間: 2008 12月 172008 12月 20

出版物シリーズ

名前2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Other

Other2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
国/地域Viet Nam
CityHanoi
Period08/12/1708/12/20

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • 制御およびシステム工学
  • 電子工学および電気工学

フィンガープリント

「A basic method for classifying humans based on an EEG analysis」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル