吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (5): 1403-1410.doi: 10.13229/j.cnki.jdxbgxb201705011

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Driver's visual characteristics based on stress response

LI Xian-sheng1, MENG Fan-song1, ZHENG Xuan-lian1, REN Yuan-yuan1, YAN Jia-hui2   

  1. 1.College of Transportation,Jilin University,Changchun 130022,China;
    2.Mitsubishi Electric (China) Co., Ltd.,Shanghai Branch,Shanghai 200336,China
  • Received:2016-11-03 Online:2017-09-20 Published:2017-09-20

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Abstract:

In order to study the visual characteristics of the driver under stress condition, the eye movement data of drivers under different stress scenarios are analyzed. The dynamic clustering method is used to divide the gaze area, and the related visual characteristic indexes are selected to analyze. The principal component analysis and statistical analysis methods are used to analyze the eye movement data of the drivers. Test results show that when driver is under the stress scene the visual distribution is more concentrated, and the driver is more accustomed to obtain traffic information from the main area of the front region. When a moving object is in the scene, the driver will judge the moving range of the object and select 1 to 2 related auxiliary areas for information retrieval. The driver is used to gaze the main area and scan the auxiliary areas.

Key words: engineering of communication and transportation system, driver's visual characteristics, dynamic clustering, stress scene

CLC Number: 

  • U491
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