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

1 Citation (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

Other

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

Fingerprint

Electroencephalography
Brain
Highway accidents
Discriminant analysis
Simulators

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

Cite this

Kim, J. P., & Lee, S. W. (2017). Time domain EEG Analysis for evaluating the effects of driver's mental work load during simulated driving. In 5th International Winter Conference on Brain-Computer Interface, BCI 2017 (pp. 79-80). [7858165] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2017.7858165

Time domain EEG Analysis for evaluating the effects of driver's mental work load during simulated driving. / Kim, Jong Pil; Lee, Seong Whan.

5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 79-80 7858165.

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

Kim, JP & Lee, SW 2017, Time domain EEG Analysis for evaluating the effects of driver's mental work load during simulated driving. in 5th International Winter Conference on Brain-Computer Interface, BCI 2017., 7858165, Institute of Electrical and Electronics Engineers Inc., pp. 79-80, 5th International Winter Conference on Brain-Computer Interface, BCI 2017, Gangwon Province, Korea, Republic of, 17/1/9. https://doi.org/10.1109/IWW-BCI.2017.7858165
Kim JP, Lee SW. Time domain EEG Analysis for evaluating the effects of driver's mental work load during simulated driving. In 5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 79-80. 7858165 https://doi.org/10.1109/IWW-BCI.2017.7858165
Kim, Jong Pil ; Lee, Seong Whan. / Time domain EEG Analysis for evaluating the effects of driver's mental work load during simulated driving. 5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 79-80
@inproceedings{19579265ee964724a367c87163337989,
title = "Time domain EEG Analysis for evaluating the effects of driver's mental work load during simulated driving",
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.",
keywords = "Brain-computer interface (BCI), Driver distraction, Event-related potential (ERP), Mental work load, Simulated driving",
author = "Kim, {Jong Pil} and Lee, {Seong Whan}",
year = "2017",
month = "2",
day = "16",
doi = "10.1109/IWW-BCI.2017.7858165",
language = "English",
pages = "79--80",
booktitle = "5th International Winter Conference on Brain-Computer Interface, BCI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Time domain EEG Analysis for evaluating the effects of driver's mental work load during simulated driving

AU - Kim, Jong Pil

AU - Lee, Seong Whan

PY - 2017/2/16

Y1 - 2017/2/16

N2 - 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.

AB - 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.

KW - Brain-computer interface (BCI)

KW - Driver distraction

KW - Event-related potential (ERP)

KW - Mental work load

KW - Simulated driving

UR - http://www.scopus.com/inward/record.url?scp=85016001482&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85016001482&partnerID=8YFLogxK

U2 - 10.1109/IWW-BCI.2017.7858165

DO - 10.1109/IWW-BCI.2017.7858165

M3 - Conference contribution

AN - SCOPUS:85016001482

SP - 79

EP - 80

BT - 5th International Winter Conference on Brain-Computer Interface, BCI 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -