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

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References

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

    Article  Google Scholar 

  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 

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Acknowledgements

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

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Correspondence to Luzheng Bi.

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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

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  • DOI: https://doi.org/10.1007/s11432-018-9643-5

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