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

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages4229-4232
Number of pages4
DOIs
Publication statusPublished - 2009 Dec 1
Externally publishedYes
Event35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009 - Porto, Portugal
Duration: 2009 Nov 32009 Nov 5

Other

Other35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009
CountryPortugal
CityPorto
Period09/11/309/11/5

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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    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. Paper presented at 35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009, Porto, Portugal. https://doi.org/10.1109/IECON.2009.5415062