論文

査読有り
2015年

An attempt to predict point in time with high risk of crash using psychological rating on drowsiness and X-bar chart of behavioral measures

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Atsuo Murata
  • ,
  • Kensuke Naitoh

9174
開始ページ
265
終了ページ
274
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-319-20373-7_25
出版者・発行元
Springer Verlag

A procedure for predicting the point in time with high risk of crash before the point in time of virtual accident was proposed using X-bar chart of the behavioral measures during a simulated driving task. The tracking error, the back pressure, the sitting pressure (COP movement on the sitting surface), the horizontal neck bending angle, and the vertical neck bending angle were measured during a driving task on the driving simulator. As a result of applying the proposed method to these data, we could identify the point in time with high risk of crash before the point in time of virtual accident occurred for nine participants out of ten. The time interval between the point in time with high risk of crash and the point in time of virtual accident ranged from 136 s to 526 s. As for the other one participant, the point in time with high risk of crash was identified 9 s after the point in time of virtual accident. In such a way, it has been verified that the proposed procedure for predicting the point in time with high risk of crash is effective and promising for warning drivers of the high risky state of crash.

リンク情報
DOI
https://doi.org/10.1007/978-3-319-20373-7_25
ID情報
  • DOI : 10.1007/978-3-319-20373-7_25
  • ISSN : 1611-3349
  • ISSN : 0302-9743
  • SCOPUS ID : 84947239931

エクスポート
BibTeX RIS