Spatial and Temporal EEG-based Brain Dynamics of Dual-Task Driving Performance
博士 === 國立交通大學 === 電控工程研究所 === 99 === Driver distraction is a significant cause of traffic accidents. The aim of this study is to investigate Electroencephalography (EEG) dynamics in relation to distraction during driving. To study human cognition under a specific driving task, simulated real driving...
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ndltd-TW-099NCTU54490362015-10-13T20:37:08Z http://ndltd.ncl.edu.tw/handle/71430141929537213143 Spatial and Temporal EEG-based Brain Dynamics of Dual-Task Driving Performance 應用空域與時域腦動態分析於駕駛安全之雙重任務探討 Chen, Shi-An 陳世安 博士 國立交通大學 電控工程研究所 99 Driver distraction is a significant cause of traffic accidents. The aim of this study is to investigate Electroencephalography (EEG) dynamics in relation to distraction during driving. To study human cognition under a specific driving task, simulated real driving using virtual reality (VR) -based simulation and designed dual-task events are built, which include unexpected car deviations and mathematics questions. We designed five cases with different stimulus onset asynchrony (SOA) to investigate the distraction effects between the deviations and equations. The EEG channel signals are first converted into separated brain sources by independent component analysis (ICA). Then, event-related spectral perturbation (ERSP) changes of the EEG power spectrum are used to evaluate brain dynamics in time-frequency domains. Power increases in the theta and beta bands are observed in relation with distraction effects in the frontal cortex. In the motor area, alpha and beta power suppressions are also observed. All of the above results are consistently observed across 15 subjects. Additionally, further analysis demonstrates that response time and multiple cortical EEG power both changed significantly with different SOA. This study suggests that theta power increases in the frontal area is related to driver distraction and represents the strength of distraction in real-life situations. Chin-Teng Lin 林進燈 2011 學位論文 ; thesis 64 en_US |
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博士 === 國立交通大學 === 電控工程研究所 === 99 === Driver distraction is a significant cause of traffic accidents. The aim of this study is to investigate Electroencephalography (EEG) dynamics in relation to distraction during driving. To study human cognition under a specific driving task, simulated real driving using virtual reality (VR) -based simulation and designed dual-task events are built, which include unexpected car deviations and mathematics questions. We designed five cases with different stimulus onset asynchrony (SOA) to investigate the distraction effects between the deviations and equations. The EEG channel signals are first converted into separated brain sources by independent component analysis (ICA). Then, event-related spectral perturbation (ERSP) changes of the EEG power spectrum are used to evaluate brain dynamics in time-frequency domains. Power increases in the theta and beta bands are observed in relation with distraction effects in the frontal cortex. In the motor area, alpha and beta power suppressions are also observed. All of the above results are consistently observed across 15 subjects. Additionally, further analysis demonstrates that response time and multiple cortical EEG power both changed significantly with different SOA. This study suggests that theta power increases in the frontal area is related to driver distraction and represents the strength of distraction in real-life situations.
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Chin-Teng Lin |
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Chin-Teng Lin Chen, Shi-An 陳世安 |
author |
Chen, Shi-An 陳世安 |
spellingShingle |
Chen, Shi-An 陳世安 Spatial and Temporal EEG-based Brain Dynamics of Dual-Task Driving Performance |
author_sort |
Chen, Shi-An |
title |
Spatial and Temporal EEG-based Brain Dynamics of Dual-Task Driving Performance |
title_short |
Spatial and Temporal EEG-based Brain Dynamics of Dual-Task Driving Performance |
title_full |
Spatial and Temporal EEG-based Brain Dynamics of Dual-Task Driving Performance |
title_fullStr |
Spatial and Temporal EEG-based Brain Dynamics of Dual-Task Driving Performance |
title_full_unstemmed |
Spatial and Temporal EEG-based Brain Dynamics of Dual-Task Driving Performance |
title_sort |
spatial and temporal eeg-based brain dynamics of dual-task driving performance |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/71430141929537213143 |
work_keys_str_mv |
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