Neuro-driving: Automatic perception technique for upcoming emergency situations

Jeong Woo Kim, Il Hwa Kim, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We propose a neuro-driving simulation framework for the detection of emergency situation under general circum-stances. Previous work on neuro-driving has been shown that neural activity related with emergency situations while driving generates a different characteristic spatio-temporal event-related potential (ERP) pattern compared to normal state [1]. In this paper, on the basis of those study, three kinds of emergency situations are designed to discriminate ERP patterns between a variety of emergencies and normal driving situation. Based on comparison analysis based on KU and BBCI dataset, it is believed that the proposed framework can be considered as a novel EEG-based automatic perception technique for upcoming emergency situations.

Original languageEnglish
Title of host publication2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
Pages8-9
Number of pages2
DOIs
Publication statusPublished - 2013 May 17
Event2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 - Gangwon Province, Korea, Republic of
Duration: 2013 Feb 182013 Feb 20

Other

Other2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
CountryKorea, Republic of
CityGangwon Province
Period13/2/1813/2/20

Keywords

  • EEGIERP Emergency braking
  • Neuro-driving

ASJC Scopus subject areas

  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'Neuro-driving: Automatic perception technique for upcoming emergency situations'. Together they form a unique fingerprint.

  • Cite this

    Kim, J. W., Kim, I. H., & Lee, S. W. (2013). Neuro-driving: Automatic perception technique for upcoming emergency situations. In 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 (pp. 8-9). [6506609] https://doi.org/10.1109/IWW-BCI.2013.6506609