대한인간공학회지 (Journal of the Ergonomics Society of Korea)

  • 제30권1호
  • /
  • Pages.203-211
  • /
  • 2011
  • /
  • 1229-1684(pISSN)
  • /
  • 2093-8462(eISSN)
대한인간공학회 (Ergonomics Society of Korea)
권호 표지
DOI QR코드

DOI QR Code

생체신호 측정을 통한 운전자의 감정적 안정상태 평가

Assessment of Driver's Emotional Stability by Using Bio-signals

  • 김정룡 (한양대학교 산업경영공학과) ;
  • 박지수 (한양대학교 산업경영공학과) ;
  • 윤상영 (한양대학교 산업경영공학과)
  • Kim, Jung-Yong (Department of Industrial and Management Engineering, Hanyang University) ;
  • Park, Ji-Soo (Department of Industrial and Management Engineering, Hanyang University) ;
  • Yoon, Sang-Young (Department of Industrial and Management Engineering, Hanyang University)
  • 투고 : 2011.01.31
  • 심사 : 2011.02.11
  • 발행 : 2011.02.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Objective: The aim of this study is to introduce a methodology to assess driver's emotion stability by using bio-signals. Background: Psychophysiological analysis of driver's behavior has been conducted to improve the driving safety and comfort. However, the variability of bio-signal and individual difference made it difficult to assess the psychophysiological status of drivers that can be expressed as emotional stability of drivers. Method: Two experimental studies were reviewed and summarized. New techniques assessing emotional stability of drivers were explained. Statistical concept and multidimensional space were used to identify the emotionally stable conditions. Conclusion: Psychophysiological approach can provide information of driver's emotional status. The experimental methodology and algorithm used in this study showed the possibility of parameterization of psychophysiological response. Application: Currently measured statistical and geometrical data can be further applied to develop an interactive device monitoring and reacting driver's emotion when driver experiences emotionally unstable or uncomfortable situation.

키워드

참고문헌

  1. Bae, J. H.., Won, W. J. and Son, J. W., Data Collection, Variable Selection and Parameter Quantification for Driver Physiological Signal of Ages under Unexpect Events, Journal of Korean Society of Automotive Engineers, 1147-1152, 2008.
  2. Boucscein, W., Electriodermal Activity, New York: Plenum Press, 1992.
  3. Brookhuis, K. A. and Waard, D. D., The Use of Psychophysiology to Assess Driver Status, Ergonomics, 33(9), 1099-1110, 1993.
  4. Chung, S. C., Min, B. C., Kim, S. K., Min, B. W., Oh, J. Y., Shin, J. S. Kim,Y, N., Kim, C. J. and Park, S. J., A Study on Autonomic Responses Caused by Dynamic Visual Stimulation, The Conference of Ergonomic Society of Korea, Autumn, 1999.
  5. Coutin-Churchman, P., Anez, Y., Uzcategui, M., Alvarez, L., Vergara, F.,Mendez, L. and Fleitas, R., Quantitative Spectral Analysis of EEG in Psychiatry Revisited: Drawing Signs out of Numbers in a Clinical Setting, Clinical Neurophysiology, 114, 2294-2306, 2003. https://doi.org/10.1016/S1388-2457(03)00228-1
  6. Gobel, M., Springer, J. and Scherff, J. Stress and Strain of Short Haul Bus Drivers: Psychophysiology as a Design Oriented Method for Analysis, Ergonomics, 41(5), 563-580, 1998. https://doi.org/10.1080/001401398186757
  7. Gundel, M., Drescher, J., Maas, H., Samel, A. and Vejvoda, M., Sleepiness of Civil Airline Pilots during Two Consecutive Night Flights of Extended Duration, Biological Psychology, 40(1-2), 131-141, 1995. https://doi.org/10.1016/0301-0511(95)05107-4
  8. Hankins, T. C. and Wilson, G. F., A Comparison of Heart Rate, Eye Activity, EEG and Subjective Measures of Pilot Mental Workload during Flight, Aviat. Space Environ. Med., April, 69(4), 360-367, 1998.
  9. Helander, M. G., Physiological Reactions of Driver's as Indicators of Road Traffic Demand, Transportation Research Record, 530, 1-17, 1975.
  10. Kakimoto, Y., Nakamura, A., Tarui, H., Nagasawa, Y. and Yagura, S., CrewWorkload in JASDF C-1 Transport Flights: I. Change in Heart Rate and Salivary Cortisol, Aviat. Space Environ. Med., Jun; 59(6), 511-516,1998.
  11. Kecklund, G. and Akerstedt, T., Sleepiness in Long Distance Truck Driving: an Ambulatory EEG Study of Night Driving, Ergonomics, 36(9), 1007-1017, 1993. https://doi.org/10.1080/00140139308967973
  12. Kim, J. Y. and Yoon, S. Y., The Study to Diagnose the Road-Driver Compatibility I: Comparison of Methods for Bio-Signal Analysis, Journal of Korean Institute of Industrial Engineers, 30(1), 44-49, 2004a.
  13. Kim, J. Y. and Yoon, S. Y., The Study to Diagnose the Road-Driver Compatibility III: Development and Validation of Diagnostic Model, Journal of Korean Institute of Industrial Engineers, 30(1), 58-64, 2004b.
  14. Kim, J. Y., Yoon, S. Y. and Park, J. S., The Study to Diagnose the Road-Driver Compatibility II: Data Collection, Variable Selection and Parameter Quantification, Journal of Korean Institute of Industrial Engineers, 20(1), 50-57, 2004a.
  15. Kim, J. Y., Whang, M. C., Park, J. S. and Yoon, S. Y., Analysis of Optimal and Pleasant Driving Condition using Physiological Signals, Korean Journal of the Science of Emotion & Sensibility, 7(3), 27-35, 2004b.
  16. Kim, H. H., Lee, S. H., Kang, D. K., Kim, D. J. and Ko, H. W., A Study on the Human Sensibility Evaluation Technique using 10-channel EEG, The Conference of Korean Institute of Electrical Engineers, July, 10-12, 2002.
  17. Korea Automobile Manufacturers Association, http://www.kama.or.kr, 2010.
  18. Korea Institute of Construction Technology, Discrimination of Hazardous Road Section using Driver's Behavior & Response Detecting Vehicle, December, 2002.
  19. Lee, S. I., Automobile Knew Get in, Hangaram, 2001.
  20. Lee, Y. C., Kim, B. S., Kim, H. W., Lim, D. H., Bak, M. S., Min, B. C. andMin, Y. K., The CNS Responses of Elderly Drivers due to Signal Types at the Intersection: Focused on Yellow Interval Dilemma Situation, Journal of the Ergonomics Society of Korea, 29(5), 783-788, 2010. https://doi.org/10.5143/JESK.2010.29.5.783
  21. Lorenz, J., Lorenz, B. and Heineke, M., Effect of Mental Task Load on Fronto-Central Theta Activity in a Deep Saturation Dive to 450 MSW, Undersea Biemed. Res., Jul; 19(4), 243-262, 1992.
  22. Milosevic, S., Drivers' Fatigue Studies, Ergonomics, 40(3), 381-389, 1997. https://doi.org/10.1080/001401397188215
  23. Ministry of Education, Science and Technology, Development of Synthetic Physiology Signal Measuring and Analyzing System, KRISS, 1998.
  24. O'Hanlon, J. F. and Kelly, G. R., Comparison of Performance and Physiological Changes between Drivers Who Perform Well and Poorly during Prolonged Vehicular Operation, in R. R., Vigilance Theory: Operational performance and Physiological Correlates, 87-109, New York: Plenum, 1977.
  25. Papanicolaou, A. C., Loring D. W., Deutsch, G. and Eisenberg, H. M., Task-Related EEG Asymmetries: a Comparison of Alpha Blocking and Beta Enhancement, International Journal of Neuroscience, 30, 81-85, 1998.
  26. Richter, P., Wagner, T., Heger, R. and Weise, G., Psychophysiological Analysis of Mental Load during Driving on Rural Roads - a Quasiexperimental Field Study, Ergonomics, 41, 593-609, 1998. https://doi.org/10.1080/001401398186775
  27. Roscoe, A. H., Heart Rate as a Psychophysiological Measure for In-flight Workload Assessment, Ergonomics, 36(9), 1055-1062, 1993. https://doi.org/10.1080/00140139308967977
  28. Svensson, El, Angelborg-Thanderz, M., Sjoberg, L. and Olsson, S., Information Complexity-Mental Workload and Performance in Combat Aircraft, Ergonomics, 40(3), 362-380, 1997. https://doi.org/10.1080/001401397188206
  29. Tara, E. G., Edward, B. B., Loretta, S. M. and Brian, M. F., The Psychophysiology of aggressive drivers: Comparison to non-aggressive drivers and pre- to post-treatment change following a cognitivebehavioural treatment, Behaviour Research and Therapy, 41, 1055-1067, 2003. https://doi.org/10.1016/S0005-7967(02)00242-5
  30. Torsvall, L. and Akerstedt, T., Sleepiness and Irregular Work Hours, SleepResearch, 12, 376, 1983.
  31. Waard, D. D., Jessurun, M. and Steyvers, J. J. M. F., Effect of Road Layout and Road Environment on Driving Performance, Drivers' Physiology and Road Appreciation, Ergonomics, 38(7), 1395-1407, 1995. https://doi.org/10.1080/00140139508925197

피인용 문헌

  1. A Study Concerning Analysis of Arousal State of locomotive Engineering During Operating Train vol.61, pp.6, 2012, https://doi.org/10.5370/KIEE.2012.61.6.891
  2. Physiological Status Assessment of Locomotive Engineer During Train Operation vol.9, pp.1, 2014, https://doi.org/10.5370/JEET.2014.9.1.324