Citation

Iwao M, Sugiura K, Imanishi A, Takinami S, Nakano Y. Trans. Soc. Automot. Eng. Jpn. 2015; 46(3): 671-677.

Copyright

(Copyright © 2015, Society of Automotive Engineers of Japan)

DOI

10.11351/jsaeronbun.46.671

PMID

unavailable

Abstract

We have studied a practical drowsiness detection system for professional drivers of heavy-duty trucks to prevent traffic accidents. We measured the electrocardiographic data and visual behaviors, and also the vehicle behaviors in actual sleep-inducing driving situations. Five persons participated in experiment for two days. We extracted amounts of time evaluated as sleepy state and an alert state. The system’s performance for separating these two states was evaluated. As a result, drowsiness estimated by these three indices was significantly higher in the sleepy state than in the alert state. We also found that accuracy of drowsiness judgment improved when combining the indices.

Language: ja

Keywords

driver condition monitoring; drowsiness; heavy-duty truck; human engineering; warning system