대한인간공학회지 (Journal of the Ergonomics Society of Korea)

  • 제29권1호
  • /
  • Pages.47-53
  • /
  • 2010
  • /
  • 1229-1684(pISSN)
  • /
  • 2093-8462(eISSN)
대한인간공학회 (Ergonomics Society of Korea)
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운전 생체신호 및 운전 수행도 분석 System 개발

Development of an Analysis System for Biosignal and Driving Performance Measurements

  • 이원섭 (포항공과대학교 기계산업공학부) ;
  • 박장운 (포항공과대학교 기계산업공학부) ;
  • 김수진 (LG 전자 MC 사업본부) ;
  • 윤성혜 (LG 전자 MC 사업본부) ;
  • ;
  • 이용태 (대구경북과학기술원 공공원천기술연구센터) ;
  • 손준우 (대구경북과학기술원 공공원천기술연구센터) ;
  • 김만호 (대구경북과학기술원 공공원천기술연구센터) ;
  • 유희천 (포항공과대학교 기계산업공학부)
  • Lee, Won-Sup (Department of Industrial and Management Engineering, POSTECH) ;
  • Park, Jang-Woon (Department of Industrial and Management Engineering, POSTECH) ;
  • Kim, Su-Jin (Department of Mobile Communication, LG Electronics) ;
  • Yoon, Sung-Hye (Department of Mobile Communication, LG Electronics) ;
  • Yang, Xiaopeng (Department of Industrial and Management Engineering, POSTECH) ;
  • Lee, Yong-Tae (Public & Original Technology Research Center, DGIST) ;
  • Son, Joon-Woo (Public & Original Technology Research Center, DGIST) ;
  • Kim, Man-Ho (Public & Original Technology Research Center, DGIST) ;
  • You, Hee-Cheon (Department of Industrial and Management Engineering, POSTECH)
  • 투고 : 2010.02.06
  • 심사 : 2010.02.25
  • 발행 : 2010.02.28
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초록

An analysis of biosignal and performance data collected during driving has increasingly employed in research to explore a human-vehicle interface design for better safety and comfort. The present study developed a protocol and a system to effectively analyze biosignal and driving performance measurements in various driving conditions. Electrocardiogram (ECG), respiration rate (RR), and skin conductance level (SCL) were selected for biosignal analysis in the study. A data processing and analysis protocol was established based on a comprehensive review of related literature. Then, the established analysis protocol was implemented to a computerized system so that immense data of biosignal and driving performance can be analyzed with ease, efficiency, and effectiveness for an individual and/or a group of individuals of interest. The developed analysis system would be of use to examine the effects of driving conditions to cognitive workload and driving performance.

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참고문헌

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피인용 문헌

  1. Comparison of driving characteristics between drivers in Korea and in the united states of America based on driver-vehicle interaction field database vol.14, pp.1, 2013, https://doi.org/10.1007/s12239-013-0014-2
  2. Analysis of Skin Conductance Level for Cognitional and Emotional Responses associated with Unexpected Situation during Driving vol.29, pp.6, 2010, https://doi.org/10.5143/JESK.2010.29.6.869
  3. Development of a Classification Model for Driver's Drowsiness and Waking Status Using Heart Rate Variability and Respiratory Features vol.35, pp.5, 2016, https://doi.org/10.5143/JESK.2016.35.5.371