Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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Research on EEG-based minimization plan of motion sickness

EEG 기반의 어지럼증 최소화 방안에 관한 연구

  • Seo, Hyeon-Cheol (Department of Computer Engineering, Dae-gu Catholic University) ;
  • Shin, Jeong-Hoon (School of Information Technology, Dae-gu Catholic University)
  • 서현철 (대구가톨릭대학교 컴퓨터공학과) ;
  • 신정훈 (대구가톨릭대학교 IT공학부)
  • Received : 2018.08.23
  • Accepted : 2019.01.21
  • Published : 2019.03.31
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Abstract

Motion sickness is dizziness symptom that occurs when movement detected in the vestibular organ and movement detected visually are collide with each other. When dizziness occurs, user complains of symptoms such as nausea and vomiting, sense of direction abnormality, and fatigue. These causes of dizziness are various and difficult to differentiate and treat the symptoms. Especially, among the types of dizziness VIMS(Visually Induced Motion Sickness) is a problem to solve in developing VR industry. These VIMS analysis can be done through user's vital signs measurement and feature analysis, and EEG characteristics analysis. Therefore, this paper is discuss the minimization of motion sickness caused by visual information based on EEG signal and present research trends related to it.

멀미(Motion Sickness)란 전정기관에서 감지된 움직임과 시각적으로 감지된 움직임이 서로 충돌하는 경우에 발생하는 어지럼증 증상이다. 어지럼증이 발생할 경우 사용자는 메스꺼움 및 구토감, 방향 감각 이상과 피로 등의 증세를 호소한다. 이러한 어지럼증 원인이 다양하여 증상에 대한 감별과 치료가 어려운 질환이다. 특히 어지럼증의 유형 중 시각 정보로 인해 유발되는 어지럼증(Visually Induced Motion Sickness)은 발전하는 VR산업에서 해결해야 할 고질적인 숙제로 남아있다. 이러한 VIMS에 대한 분석은 사용자의 활력 징후 측정 및 특징 분석과 EEG 특성 분석을 통하여 가능하다. 이에 본 논문에서는 EEG 신호를 기반으로 시각 정보로 인해 유발되는 어지럼증(VIMS)의 최소화 방안에 대해 고찰하며, 그와 관련된 연구 동향들을 분석한다.

Keywords

References

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