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http://dx.doi.org/10.5370/KIEE.2014.63.9.1286

Development of the Electrodermal Activity Monitoring System for the Evaluation of Train Driver's Arousal State  

Lim, Min-Gyu (Biomedical Engineering, Konkuk University)
Lee, Young-Jae (Biomedical Engineering, Konkuk University)
Lee, Kang-Hwi (Biomedical Engineering, Konkuk University)
Kang, Seung-Jin (Biomedical Engineering, Konkuk University)
Kim, Kyeung-Nam (Biomedical Engineering, Konkuk University)
Park, Hee-Jung (Biomedical Engineering, Konkuk University)
Yang, Heui-Kyung (Biomedical Engineering, GangDong University)
Lee, Jeong-Whan (Dept. of Biomedical Engineering, Konkuk University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.63, no.9, 2014 , pp. 1286-1293 More about this Journal
Abstract
Typically, studies through the simulation system have been progressed, because the evaluation of the driver's arousal state about the service of a actual train has risk of safety for the driver. When configured event same as the real in simulation system, the ability to cope with an accident situation may be the same each other. But the difference in the state of tension or arousal will occur. In this study, requested to cooperate with the railways in order to escape from these constraints, and the target of the experiment was to real engineer service. I was set about experiment when the train was stopped as safe as possible. As a result, the beta wave of EEG signals that representing complex calculations or anxiety is increased rapidly on the basis of a flag station from at the time of departure. The size of the electrodermal activity signal in response to movement of the body gave a noticeable. In terms of HRV, if the train approach a flag station gradually and the R-R interval is narrowed. So that the driver can be estimated as arousal state. In accordance with this study, if the quantitative standard of arousal state be based on the driver's biosignals will provide, it will be able to take advantage of development the system that would prevent train accidents caused by human error.
Keywords
Arousal State; EEG(electroencephalogram); HRV(heart rate variability); EDA(electrodermal activity);
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Times Cited By KSCI : 4  (Citation Analysis)
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