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  • 标题:Estimation of driver mental states using autonomic indices
  • 本地全文:下载
  • 作者:Yukiyo Kuriyagawa ; Mina Shimamura ; Ichiro Kageyama
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:19
  • 页码:585-590
  • DOI:10.1016/j.ifacol.2016.10.615
  • 语种:English
  • 出版社:Elsevier
  • 摘要:For an automated driver’s assistant, the driver assistance strategy should change depending on the driver’s mental state. Autonomic indices such as heart rate (HR), respiration, etc. are useful in assessing the driver’s state. In the past, we have used autonomic indices to detect dangerous or dislikeable situations while driving a vehicle. From the results, we observed two kinds of changes in HR that occurred while the drivers were driving. One is that the HR rose in the scenes in which a driver felt strong danger or difficulty. The other is the HR decreased in the scenes that driver did not require concentration when there was no feeling of strong danger. Therefore, we guessed that those HR changes depended on the driver’s feelings about the incident; for example, how he perceived the incident and how he handled it. To investigate this, we conducted an experiment at the narrow passage increasing the number of participants and examined the relationship between the driver’s feelings and the autonomic indices while driving. From the results, it seems that the changes in heart rate correspond to the driver’s mental attitude in a dislikeable driving scene. Therefore, it is possible to change the driving assistant strategy that the driver requires according to his/her mental attitude, which can be determined using the change of heart rate.
  • 关键词:DriversHuman FactorsHuman Centered Design
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