예술인문사회 융합 멀티미디어 논문지 (Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology)

  • 제9권6호
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  • Pages.729-738
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  • 2019
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  • 2383-5281(pISSN)
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  • 2383-7268(eISSN)
인문사회과학기술융합학회 (The Convergent Research Society Among Humanities, Sociology, Science and Technology)
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뇌파 신호의 정량적 분석을 위한 데이터 정규화 및 표현기법 연구

Study on Data Normalization and Representation for Quantitative Analysis of EEG Signals

  • Hwang, Taehun (Graduate School of Electronic & Computer Eng., Seokyeong Univ.) ;
  • Kim, Jin Heon (Graduate School of Electronic & Computer Eng., Seokyeong Univ.)
  • 투고 : 2019.05.05
  • 심사 : 2019.06.15
  • 발행 : 2019.06.30
⟨ 이전 논문 다음 논문 ⟩

초록

최근 화두가 되는 가상현실 분야와 감정인식 분야의 결합으로 감정을 정량적으로 분석하고, 분석된 결과를 바탕으로 가상현실 콘텐츠를 개선하는 접근이 시도되고 있다. 감정은 콘텐츠 체험자의 생체신호를 기반으로 분석되는데, 신호 분석 관점에서는 많은 연구가 이루어지고 있으나 이를 정량화하는 방법론에 관해서는 충분히 논의되지 않고 있다. 본 논문에서는 감정의 정량화를 위한 초석으로 여러 생체신호 중 뇌파 신호에 대한 정규화 함수 설계와 이를 나타내는 표현 기법을 제안하고자 한다. 정규화 함수의 최적 파라미터를 찾아내기 위해 무차별 대입법을 사용하였으며, 본 논문에서 정의한 True Score와 False Score를 사용하여 찾아낸 파라미터들의 신뢰성을 높였다. 결과적으로 경험에 의존되던 생체신호 정규화 함수의 파라미터 결정을 자동화할 수 있으며, 이를 바탕으로 감정의 정량적 분석이 가능하다.

Recently, we aim to improve the quality of virtual reality contents based on quantitative analysis results of emotions through combination of emotional recognition field and virtual reality field. Emotions are analyzed based on the participant's vital signs. Much research has been done in terms of signal analysis, but the methodology for quantifying emotions has not been fully discussed. In this paper, we propose a normalization function design and expression method to quantify the emotion between various bio - signals. Use the Brute force algorithm to find the optimal parameters of the normalization function and improve the confidence score of the parameters found using the true and false scores defined in this paper. As a result, it is possible to automate the parameter determination of the bio-signal normalization function depending on the experience, and the emotion can be analyzed quantitatively based on this.

키워드

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