Time domain EEG Analysis for evaluating the effects of driver's mental work load during simulated driving

Jong Pil Kim, Seong Whan Lee

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

    6 Citations (Scopus)

    Abstract

    Driver's mental work load has been known for one of the significant causes of traffic accidents in driving situations. Hence, in this study, we investigate the effects of mental work load on brain activity during an emergency situation in driving simulator. We compare the differences of electroencephalography (EEG) signals between emergency situations without-And with mental work load on simulated driving. Visual stimuli for emergency situation and auditory stimuli for mental work load situation were presented independently and simultaneously. We used regularized linear discriminant analysis (RLDA) for classifying event-related potentials (ERPs) on mental events which are related to brain activity in time domain. The classification results in the emergency situations with the mental work load were significantly reduced as compared with in the only emergency situations.

    Original languageEnglish
    Title of host publication5th International Winter Conference on Brain-Computer Interface, BCI 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages79-80
    Number of pages2
    ISBN (Electronic)9781509050963
    DOIs
    Publication statusPublished - 2017 Feb 16
    Event5th International Winter Conference on Brain-Computer Interface, BCI 2017 - Gangwon Province, Korea, Republic of
    Duration: 2017 Jan 92017 Jan 11

    Publication series

    Name5th International Winter Conference on Brain-Computer Interface, BCI 2017

    Other

    Other5th International Winter Conference on Brain-Computer Interface, BCI 2017
    Country/TerritoryKorea, Republic of
    CityGangwon Province
    Period17/1/917/1/11

    Keywords

    • Brain-computer interface (BCI)
    • Driver distraction
    • Event-related potential (ERP)
    • Mental work load
    • Simulated driving

    ASJC Scopus subject areas

    • Signal Processing
    • Human-Computer Interaction

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