手机体育投注平台

手机体育投注平台Advertisement

Analysis of ERP on Drivers in Traffic Accidents by Sudden Vehicle

  • Guilei SunEmail author
  • Guangxia HuEmail author
  • Yanhua Meng
Conference paper
  • 345 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1201)

Abstract

手机体育投注平台The event-related potential (ERP technology) and the psychological software E-prime 2.0 is used to present the simulated scenario, and the NeuroOne EEG event-related potential system is used to obtain the electrical signal acquisition. The stimulus material is composed of 30 car accident videos in the driver’s position to realize the brain of a person in a state of emergency. A series of processing are carried on the original signals to obtain ERP signals. After superimposing and averaging, the incubation period, amplitude, and brain area distribution of human EEG signals such as P300 and N400 in an emergency state are obtained. These characteristics show that human body motion and audiovisual hearing have the greatest effect when emergencies occur or when receiving stimuli. And it can provide analysis and recommendations for personnel ERP in emergency situations.

Keywords

Event-Related potentials Electroencephalogram Emergency situations P300 N400 Traffic accidents 

References

  1. 1.
    Moretti, D.V., Babiloni, F., Carducci, F., Cincotti, F., Remondini, E., Rossini, P.M., Babiloni, C.: Computerized processing of EEG–EOG–EMG artifacts for multi-centric studies in EEG oscillations and event-related potentials. Int. J. Psychophysiol. 47, 199–216 (2003)
  2. 2.
    Liu, J.: Electroencephalographic characteristic of automatic calibration of finger movements in graphic design. NeuroQuantology 16, 200–216 (2018)
  3. 3.
    Zhang, D., Chen, D.W., You, Y., Li, H.F.: Feature analysis of emotional EEG signals based on adaptive Lempel-Ziv complexity. Comput. Appl. Softw. 31, 162–165 (2014)
  4. 4.
    Jiao, K.Q., Wang, H.F., Guo, M.T.: Spectrum asymmetry index features and emotion recognition in EEG signals. Sci. Technol. Eng. 17, 145–149 (2018)
  5. 5.
    Chen, Z.C., Wang, H., Wang, Q.X., Hua, C.C., Liu, C.: Research on fatigue driving state based on EEG signals. Autom. Eng. 40, 515–520 (2018)
  6. 6.
    Gao, Y.M., Zhu, S.L., Gao, M.X., Qi, C.H., Yang, F.: Analysis of the characteristics of EEG signals with resting eyes closed. For. Eng. 02, 164–168 (2015)
  7. 7.
    Tang, B.B., Guo, G., Wang, K., Lin, L., Zhou, J., Fan, X., Guo, X.Y.: Selection of user experience in automotive industry design combining eye movement and EEG. Comput. Integr. Manuf. Syst. 21, 1449–1459 (2015)
  8. 8.
    Zhang, Y.: The Effect of Mental Fatigue on Attention Characteristics. Fourth Military Medical University, Xi’an (2009)
  9. 9.
    Peng, J.Q., Wu, P.D., Yin, Y.: Exploration of EEG characteristics of fatigue driving. J. Beijing Inst. Technol. 27, 585–589 (2007)
  10. 10.
    Wang, L.Y., Li, A.M., Wang, H.B.: Analysis of EEG coherence in table tennis players’ motion recognition. Sports Sci. 33, 31–40 (2013)
  11. 11.
    Wang, F.W., Wang, H.: Analysis of the EEG characteristics of the fatigue status of long-distance bus drivers. 34, 1146–1152 (2013)
  12. 12.
    Chang, M.S., Tseng, Y.L., Chen, J.W.: A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transp. Res. Part E Logistics Transp. Rev. 43, 737–754 (2007)
  13. 13.
    Walsh, D.S.: Interventions to reduce psychosocial disturbance following humanitarian relief efforts involving natural disasters: an integrative review. Int. J. Nurs. Pract. 15, 231–240 (2009)
  14. 14.
    Zhou, J.: Research on Recognition Method of Emotional Response to Sudden Events based on Brain Psychological Mechanism. Fudan University, Shanghai (2012)
  15. 15.
    Feng, Y.D.: Research on the Effect of Emergency Public Information Frame Based on EEG Signal Analysis. Zhejiang University, Zhejiang (2013)

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  1. 1.Department of Safety EngineeringChina University of Labor RelationsBeijingChina
  2. 2.Institute of Safety and Occupational HygieneChina University of Labor RelationsBeijingChina

Personalised recommendations