Eye-tracking for detection of driver fatigue

被引:0
|
作者
Eriksson, M [1 ]
Papanikolopoulos, NP [1 ]
机构
[1] Univ Minnesota, Dept Comp Sci, Artificial Intelligence Robot & Vis Lab, Minneapolis, MN 55455 USA
关键词
driver fatigue; eye-tracking; template matching;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this paper, we describe a system that locates and tracks the eyes of a driver. The purpose of such a system is to perform detection of driver fatigue. By mounting a small camera inside the car, we can monitor the face of the driver and look for eye-movements which indicate that the driver is no longer in condition to drive. In such a case, a warning signal should be issued. This paper describes how to find and track the eyes. We also describe a method that can determine if the eyes are open or closed. The primary criterion for the successful implementation of this system is that it must be highly non-intrusive. The system should start when the ignition is turned on Without having the driver initiate the system. Nor should the driver be responsible for providing any feedback to the system. The system must also operate regardless of the texture and the color of the face. It must also be able to handle diverse conditions, such as changes in light, shadows, reflections, etc.
引用
收藏
页码:314 / 319
页数:2
相关论文
共 50 条
  • [41] Detection of Gaze Direction by Using Improved Eye-Tracking Technique
    Lupu, Robert Gabriel
    Bozomitu, Radu Gabriel
    Cehan, Vlad
    PROCEEDINGS OF THE 2014 37TH INTERNATIONAL SPRING SEMINAR ON ELECTRONICS TECHNOLOGY (ISSE) - ADVANCES IN ELECTRONIC SYSTEM INTEGRATION, 2014, : 298 - 301
  • [42] Eye-tracking of nodule detection in lung CT volumetric data
    Diaz, Ivan
    Schmidt, Sabine
    Verdun, Francis R.
    Bochud, Francois O.
    MEDICAL PHYSICS, 2015, 42 (06) : 2925 - 2932
  • [43] Classification of Driver Cognitive Load: Exploring the Benefits of Fusing Eye-Tracking and Physiological Measures
    He, Dengbo
    Wang, Ziquan
    Khalil, Elias B.
    Donmez, Birsen
    Qiao, Guangkai
    Kumar, Shekhar
    TRANSPORTATION RESEARCH RECORD, 2022, 2676 (10) : 670 - 681
  • [44] EYE-TRACKING INFRARED OPTOMETER
    OKUYAMA, F
    TOKORO, T
    FUJIEDA, M
    OPHTHALMIC AND PHYSIOLOGICAL OPTICS, 1990, 10 (03) : 291 - 299
  • [45] EYE-TRACKING PATTERNS IN SCHIZOPHRENIA
    TROOST, BT
    DAROFF, RB
    DELLOSSO, LF
    SCIENCE, 1974, 184 (4142) : 1202 - 1203
  • [46] EYE-TRACKING PATTERNS IN SCHIZOPHRENIA
    HOLZMAN, PS
    PROCTOR, LR
    HUGHES, DW
    SCIENCE, 1973, 181 (4095) : 179 - 181
  • [47] Eye-tracking Social Preferences
    Jiang, Ting
    Potters, Jan
    Funaki, Yukihiko
    JOURNAL OF BEHAVIORAL DECISION MAKING, 2016, 29 (2-3) : 157 - 168
  • [48] Smart Eye-Tracking System
    Juhong, Aniwat
    Treebupachatsakul, T.
    Pintavirooj, C.
    2018 INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT), 2018,
  • [49] Eye-tracking based Fatigue and Cognitive Assessment Doctoral Symposium, Extended Abstract
    Bafna, Tanya
    Hansen, John Paulin
    ETRA 2019: 2019 ACM SYMPOSIUM ON EYE TRACKING RESEARCH & APPLICATIONS, 2019,
  • [50] Eye-tracking and conceptual combination
    Janetzko, D
    PROCEEDINGS OF THE TWENTY-SECOND ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, 2000, : 687 - 692