A Preliminary Study for Exploring High-speed Train Driver Fatigue Using Eye-gaze Cue

DOI

10.2991/aiie-16.2016.43How to use a DOI?

Keywords

eye tracking; fatigue; cognitive performance; individual difference; statistical analysis

Abstract

High-speed railway is seeking for a higher safety level than other public transports because of more passengers and higher speed. However, sleepiness and fatigue occur more frequently for train drivers due to longer operation time and irregular shift schedule. In the paper, we focus on study the particularity of train drivers' fatigue under the environment of high-speed railway. We observed operation performance and evaluated the degree of fatigue using train drivers' visual characteristics, while they conducted various tasks on high-speed railway driver simulator. By analyzing self-report sleepiness scales, detection distance and eye movement data, we found that pupil diameter, blink time and fixation percentage of fatigue drivers were significantly different from that of sober drivers. Meanwhile, we revealed obvious individual difference of train drivers and proposed a personalized database for train drivers' fatigue identification. These quantitative results can be used as a preliminary study for designing human-train interface of high-speed railway.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ronghui Yan
AU  - Cheng Wu
AU  - Yiming Wang
PY  - 2016/11
DA  - 2016/11
TI  - A Preliminary Study for Exploring High-speed Train Driver Fatigue Using Eye-gaze Cue
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 187
EP  - 190
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.43
DO  - 10.2991/aiie-16.2016.43
ID  - Yan2016/11
ER  -