한국안전학회지 (Journal of the Korean Society of Safety)

  • 제35권1호
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  • Pages.62-69
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  • 2020
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  • 1738-3803(pISSN)
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  • 2383-9953(eISSN)
한국안전학회 (The Korean Society of Safety)
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랜덤포레스트 기법을 이용한 생체 신호 기반의 스트레스 평가 방법

Stress Assesment based on Bio-Signals using Random Forest Algorithm

  • 임태균 (포항산업과학연구원 자율주행AGV연구단) ;
  • 허정헌 (포항산업과학연구원 엔지니어링솔루션연구그룹) ;
  • 정규원 (충북대학교 기계공학부) ;
  • 김혜리 (충북대학교 심리학과)
  • Lim, Taegyoon (Autonomous Mobile AGV Project Group, RIST) ;
  • Heo, Jeongheon (Engineering Solution Research Group, RIST) ;
  • Jeong, Kyuwon (School of Mechanical Engineering, Chungbuk National University) ;
  • Ghim, Heirhee (Department of Psychology, Chungbuk National University)
  • 투고 : 2019.11.04
  • 심사 : 2019.12.30
  • 발행 : 2020.02.29
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초록

Most people suffer from stress during day life because modernized society is very complex and changes fast. Because stress can affect to many kind of physiological phenomena it is even considered as a disease. Therefore, it should be detected earlier, then must be released. When a person is being stressed several bio-signals such as heart rate, etc. are changed. So, those can be detected using medical electronics techniques. In this paper, stress assessment system is studied using random forest algorithm based on heart rate, RR interval and Galvanic skin response. The random forest model was trained and tested using the data set obtained from the bio-signals. It is found that the stress assessment procedure developed in this paper is very useful.

키워드

참고문헌

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