ID | 14803 |
Eprint ID | 14803
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フルテキストURL | |
著者 |
村田 厚生
Graduate School of Natural Science and Technology, Okayama University
Kaken ID
publons
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平松 靖隆
Graduate School of Natural Science and Technology, Okayama University
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抄録 | The aim of this study was to identify a useful measure to estimate an arousal level of drivers, to apply the result to develop ITS (Intelligent Transportation System) that can warn drivers of their low arousal state and to prevent driving under low arousal level from occurring and contribute to the reduction of traffic accidents. The EEG (electroencephalography) and ECG(electrocardiography) during a monotonous task was measured, and it was investigated how these measures change under the low arousal (drowsy) state. The time series of mean power frequency of EEG was plotted on X-bar control chart. Heart rate variability (HRV) measures RRV3 and RRV8-3 were derived on the basis of R-R intervals (interbeat intervals) obtained from ECG. Under the low arousal state (drowsy state), the mean power frequency tended to be lower than central line (CL) and range between CL and lower control limit (LCL). In accordance with this, RRV3 and RRV8-3 tended to increase under the low arousal (drowsy) state, which means that the parasympathetic nervous system became dominant under drowsy states.
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発行日 | 2008-12
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出版物タイトル |
Proceedings : Fourth International Workshop on Computational Intelligence & Applications
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巻 | 2008巻
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号 | 1号
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出版者 | IEEE SMC Hiroshima Chapter
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開始ページ | 99
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終了ページ | 102
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ISSN | 1883-3977
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資料タイプ |
会議発表論文
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言語 |
英語
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イベント | Fourth International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2008
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イベント地 | 東広島市
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イベント地の別言語 | Higashi-Hiroshima City
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論文のバージョン | publisher
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査読 |
有り
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Eprints Journal Name | IWCIA
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