Study on association between user's personality and individual characteristic of left prefrontal pole EEG activity

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces a method for discussing the association between human personality based on egogram scores and the results of classifying the electroencephalogram (EEG) patterns while listening to the music. The egogram based on psychological testing is used for analyzing his/her personality. The frequencies of the EEG analyzed are the components that contain significant and immaterial information and have different importance. We express the different importance through the weight value on frequencies using real-coded genetic algorithm. Then, the EEG patterns, which are determined based on the evaluation of the impression on the music, are classified using the k-nearest neighbor method. Finally, we discuss the association between his/her personality and the individual characteristic in the EEG analysis. An interesting tendency was that the false-detection accuracy of the EEG pattern, meaning the response on negative stimuli, did not become low when the score and level on ego states of Adult was extreme.

Original languageEnglish
Title of host publicationProceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
Pages2163-2166
Number of pages4
DOIs
Publication statusPublished - 2010 Nov 15
Externally publishedYes
Event2010 6th International Conference on Natural Computation, ICNC'10 - Yantai, Shandong, China
Duration: 2010 Aug 102010 Aug 12

Publication series

NameProceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
Volume4

Other

Other2010 6th International Conference on Natural Computation, ICNC'10
CountryChina
CityYantai, Shandong
Period10/8/1010/8/12

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Biomedical Engineering

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  • Cite this

    Ito, S. I., Mitsukura, Y., Sato, K., Fujisawa, S., & Fukumi, M. (2010). Study on association between user's personality and individual characteristic of left prefrontal pole EEG activity. In Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010 (pp. 2163-2166). [5583963] (Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010; Vol. 4). https://doi.org/10.1109/ICNC.2010.5583963