A study on relationship between personal feature of EEG and human's characteristic for BCI based on mental state

Shin Ichi Ito, Yasue Mitsukura, Katsuya Sato, Shoichiro Fujisawa, Minoru Fukumi

研究成果: Paper

1 引用 (Scopus)

抜粋

This paper discusses the relationship the result classified the electroencephalogram (EEG) patterns while listening to music and the human's nature, which indicates the personal feature of a human, based on the egogram pattern. The EEG analysis calculates the power spectra of the frequency of the EEG signal, divides into the frequency bands based on theta, alpha, and beta rhythms, and evaluates whether the music matches mood of the user or not through EEG pattern classification. A K-nearest neighbor classifier is used to classify the EEG patterns. The egogram is used for detecting nature of the human. Finally, we discuss the relationship the result of EEG pattern classification and the human's nature. An interesting finding was that the recognition accuracy of the EEG pattern meaning the response of them on negative stimuli became high when the subject was classified into the egogram pattern with introverted nature.

元の言語English
ページ4229-4232
ページ数4
DOI
出版物ステータスPublished - 2009 12 1
外部発表Yes
イベント35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009 - Porto, Portugal
継続期間: 2009 11 32009 11 5

Other

Other35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009
Portugal
Porto
期間09/11/309/11/5

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • これを引用

    Ito, S. I., Mitsukura, Y., Sato, K., Fujisawa, S., & Fukumi, M. (2009). A study on relationship between personal feature of EEG and human's characteristic for BCI based on mental state. 4229-4232. 論文発表場所 35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009, Porto, Portugal. https://doi.org/10.1109/IECON.2009.5415062