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

Jong Pil Kim; Seong Whan Lee

doi:10.1109/IWW-BCI.2017.7858165

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

Jong Pil Kim, Seong Whan Lee

Department of Brain and Cognitive Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 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 language	English
Title of host publication	5th International Winter Conference on Brain-Computer Interface, BCI 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	79-80
Number of pages	2
ISBN (Electronic)	9781509050963
DOIs	https://doi.org/10.1109/IWW-BCI.2017.7858165
Publication status	Published - 2017 Feb 16
Event	5th International Winter Conference on Brain-Computer Interface, BCI 2017 - Gangwon Province, Korea, Republic of Duration: 2017 Jan 9 → 2017 Jan 11

Other

Other	5th International Winter Conference on Brain-Computer Interface, BCI 2017
Country/Territory	Korea, Republic of
City	Gangwon Province
Period	17/1/9 → 17/1/11

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IWW-BCI.2017.7858165

Cite this

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 proceeding › Conference 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

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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.",

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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.

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

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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