Brain-computer interface for smart vehicle: Detection of braking intention during simulated driving

Jeong Woo Kim, Il Hwa Kim, Stefan Haufe, Seong Whan Lee

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Neuro-driving simulation framework was proposed in this article for studying neural correlates of braking intention in diversified driving situations. In addition, the possibility was investigated that these neural correlates can be used to detect a participant's braking intention prior to the behavioral response. Electroencephalographic (EEG) and electromyographic (EMG) signals were measured from fifteen participants during they were exposed to several kinds of traffic situations in a neuro-driving simulation framework. After that, the novel characteristic feature was extracted from the measured signals to categorize according to whether the driver intended to brake or not. This proposed novel feature consists of readiness potential (RP), event-related desynchronization (ERD) and event-related potential (ERP) as used in a previous study. The prediction performance of braking intention based on the proposed feature combination exhibited superior prediction performance than simple ERP feature used in a previous study.

Original languageEnglish
DOIs
Publication statusPublished - 2014
Event2014 International Winter Workshop on Brain-Computer Interface, BCI 2014 - Gangwon, Korea, Republic of
Duration: 2014 Feb 172014 Feb 19

Other

Other2014 International Winter Workshop on Brain-Computer Interface, BCI 2014
CountryKorea, Republic of
CityGangwon
Period14/2/1714/2/19

Keywords

  • EEG/ERP
  • Emergency braking
  • Neuro-driving

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Human Factors and Ergonomics

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  • Cite this

    Kim, J. W., Kim, I. H., Haufe, S., & Lee, S. W. (2014). Brain-computer interface for smart vehicle: Detection of braking intention during simulated driving. Paper presented at 2014 International Winter Workshop on Brain-Computer Interface, BCI 2014, Gangwon, Korea, Republic of. https://doi.org/10.1109/iww-BCI.2014.6782549