2019
DOI: 10.2219/rtriqr.60.4_281
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<b>Basic Study on Assessment of the Driver's Condition Based on Physiological Indices</b>

Abstract: The purpose of this research is to identify situations where a driver is unable to perform tasks properly because of psychological stress, etc., and devise means to help them. Basic research began with the aim of developing a technology to gauge the mental state of without relying on subjective evaluation of drivers, such as physiological indices and behavioral data. A system that can measure various physiological and behavioral data including electroencephalograms (EEG) was constructed. As a result of experim… Show more

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Cited by 4 publications
(4 citation statements)
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“…Nakagawa et al assessed the brain activity of drivers when they were shown an obstacle on the tracks in a train driving simulator using a 128-channel high-density EEG [4]. Similarly, in this study we showed participants an obstacle on the tracks and examined whether brain activity while driving could be evaluated from the cerebral blood flow.…”
Section: Obstacle Avoidance Taskmentioning
confidence: 82%
See 1 more Smart Citation
“…Nakagawa et al assessed the brain activity of drivers when they were shown an obstacle on the tracks in a train driving simulator using a 128-channel high-density EEG [4]. Similarly, in this study we showed participants an obstacle on the tracks and examined whether brain activity while driving could be evaluated from the cerebral blood flow.…”
Section: Obstacle Avoidance Taskmentioning
confidence: 82%
“…Lohani et al provides a selective review of the psychophysiological measures that can be utilized to assess cognitive states in real-world driving environments [3]. Brain activity of train driver was measured using a 128-channel high-density electroencephalogram (EEG) while participants drove in a train driving simulator [4]. Kojima et al analyzed the characteristics of brain activity measured in the prefrontal area with functional near-infrared spectroscopy (fNIRS) [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…Responding to accidents and disasters in increasingly unexpected circumstances, places enormous pressure on railway employees which is a likely source of human error. Therefore, work is being carried out to develop education/ training and support systems to improve the ability of staff to cope with these abnormal situations [12]. Other research is devoted to examining vehicle requirements to improve collision safety in emergencies, to reduce injury to passengers and crew [13], and to improve evacuation guidance for passengers.…”
Section: Resultsmentioning
confidence: 99%
“…RTRI is investigating a system to assess the physical and mental state of drivers whilst driving to detect and raise an alert if something abnormal occurs, as a measure to ensure that any unusual physical or mental state does not result in a human error and subsequent accidents. This section describes the research into and development of a "Driver Drowsiness Detection System Using Facial Images [10] " and "Monitoring Method for Physical and Mental States of Drivers Using Physiological Indices [11]." RTRI is considering the application of the "drowsy" detection system to the railways, which has already been commercialized in the automotive field.…”
Section: Methods For Detecting Unusual Physical and Mental States In mentioning
confidence: 99%