Measurement Of Train Driver’s Brain Activity By
Functional Near-infrared Spectroscopy (fNIRS)
Author(s)
T. Kojima, H. Tsunashima & T. Y. Shiozawa
Abstract
Train drivers are strongly urged to avoid making human errors of judgment. To
avoid human error in train operation, driving support systems should be
developed in consideration of human behavior. In developing such systems it is
important to understand the relation between the train operation and the brain
activity of driver. The brain activity during the driving operation with a traindriving
simulator is measured by a functional near-infrared spectroscopy
(fNIRS). To compare the changes in the brain activity with the driving operation,
we developed an analysis method that can extract the brain activity related to
task by using a wavelet-based multi-resolution analysis. The results show that
the brain function due to a train driving can be evaluated with the proposed
method.
Keywords: railway, human factors, brain function, near-infrared spectroscopy,
wavelet, multi-resolution analysis, train simulator.
1 Introduction
One of the characteristics of train driving is that the driving operation tends to be
more monotonous than car driving. This decrease in the driver’s arousal level
may cause human error. Railway companies provide education and training to
train crews as part of measures to prevent such human-error-related accidents. In
addition, companies have introduced backup systems such as Automatic Train
Stop (ATS) devices. On some railways, Automatic Train Operation (ATO)
devices have been introduced to automate train operation.
Keywords
railway, human factors, brain function, near-infrared spectroscopy,
wavelet, multi-resolution analysis, train simulator.
Related Book
Other papers in this volume
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