Neural correlates and detection of braking intention under critical situations based on the power spectra of electroencephalography signals

This is a preview of subscription content, access via your institution.

References

  1. 1

    Final Report of the eSafety Working Group on Road Safety. eSafety Compendium, 2006, 14–58. http://www.czechspaceportal.cz/files/files/storage/eSafety/esafety_compendium_may_006.pdf

  2. 2

    McCall J C, Trivedi M M. Driver behavior and situation aware brake assistance for intelligent vehicles. Proc IEEE, 2007, 95: 374–387

    Article  Google Scholar 

  3. 3

    Gerónimo D, López A M, Sappa A D, et al. Survey of pedestrian detection for advanced driver assistance systems. IEEE Trans Pattern Anal Mach Intell, 2010, 32: 1239–1258

    Article  Google Scholar 

  4. 4

    Trivedi M M, Cheng S Y. Holistic sensing and active displays for intelligent driver support systems. Computer, 2007, 40: 60–68

    Article  Google Scholar 

  5. 5

    Haufe S, Treder M S, Gugler M F, et al. EEG potentials predict upcoming emergency brakings during simulated driving. J Neural Eng, 2011, 8: 056001

    Article  Google Scholar 

  6. 6

    Kim I H, Kim J W, Haufe S, et al. Detection of braking intention in diverse situations during simulated driving based on EEG feature combination. J Neural Eng, 2015, 12: 016001

    Article  Google Scholar 

  7. 7

    Pudil P, Novovicovó J, Kittler J. Floating search methods in feature selection. Pattern Recogn Lett, 1994, 15: 1119–1125

    Article  Google Scholar 

  8. 8

    Rosén E, Sander U. Pedestrian fatality risk as a function of car impact speed. Accident Anal Prev, 2009, 41: 536–542

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by Beijing Natural Science Foundation (Grant No. 4162055) and National Natural Science Foundation of China (Grant No. 51575048).

Author information

Affiliations

Authors

Corresponding author

Correspondence to Luzheng Bi.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Wang, H., Bi, L. & Teng, T. Neural correlates and detection of braking intention under critical situations based on the power spectra of electroencephalography signals. Sci. China Inf. Sci. 63, 119202 (2020). https://doi.org/10.1007/s11432-018-9643-5

Download citation