대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
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성격 그룹의 뇌파 비교를 통한 감성평가 알고리즘의 개발

Development of Human Sensibility Evaluation Algorithm through Comparison of Personality-group EEGs

  • 우승진 (청주대학교 전자정보공학부) ;
  • 이상한 (청주대학교 전자정보공학부) ;
  • 김동준 (청주대학교 전자정보공학부)
  • Woo, Seung-Jin (School of Electronics and Information Eng. CheongJu Univ.) ;
  • Lee, Sang-Han (School of Electronics and Information Eng. CheongJu Univ.) ;
  • Kim, Dong-Jun (School of Electronics and Information Eng. CheongJu Univ.)
  • 발행 : 2004.07.14
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초록

This paper describes a new algorithm for human sensibility evaluation using two personality-group templates of electroencephalogram (EEG) signals. EEG signals of two groups arc collected in relaxed state, comfortable state and uncomfortable state. First of all, the characteristics of EEGs in relaxed state for two groups are compared. After verification of the results, an algorithm for sensibility evaluation is developed. In comparison of the characteristics for two personality-group EEG signals. there are distinct difference between the EEG patterns of the extrovert and the introvert. Upon these findings, the algorithm for human sensibility evaluation is designed. The results of the algorithm showed 90.0% of coincidence with given tasks. This seems to be compromising results for subject independent sensibility evaluation using EEG signal.

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