Driver Drowsiness Detection Based on Eye Analysis

被引：0
|
作者：
Ursulescu, Oana [1 ]
Ilies, Betina [1 ]
Simion, Georgiana [1 ]
机构：
[1] Politehn Univ Timioara, Appl Elect Dept, Timisoara, Romania
来源：
2018 13TH INTERNATIONAL SYMPOSIUM ON ELECTRONICS AND TELECOMMUNICATIONS (ISETC) | 2018年
关键词：
blinking; driving; drowsiness; eye; face; FACE DETECTION; SUBJECTIVE SLEEPINESS; PERFORMANCE; SYSTEM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Safe car driving has become a priority in everyday life. The main reason for designing a real time system which monitors the state of the driver's eyes is related to a decrease in car crashes that will benefit millions of people around the world. This work proposes a method to detect and to monitor the eyes of the driver, more precisely it analyses the eyes and check if they are closed or open. The number of frames in which eyes are closed is determined. When this number of frames is above a certain threshold, the driver will get a visual warning, on the navigation display, that points out he is drowsy.
引用
收藏
页码：11 / 14
页数：4
相关论文
共 50 条
  • [41] Real-time Driver Drowsiness Detection based on Eye Movement and Yawning using Facial Landmark
    Al-madani, Ali Mansour
    Gaikwad, Ashok T.
    Mahale, Vivek
    Ahmed, Zeyad A. T.
    Shareef, Ahmed Abdullah A.
    2021 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2021,
  • [42] An improved real time eye state identification system in driver drowsiness detection
    Hong, Tianyi
    Qin, Huabiao
    Sun, Qianshu
    2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 2037 - 2041
  • [43] Eye Tracking System to Detect Driver Drowsiness
    Nguyen, T. P.
    Chew, M. T.
    Demidenko, S.
    PROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON AUTOMATION, ROBOTICS AND APPLICATIONS (ICARA), 2015, : 472 - 477
  • [44] A CNN-Based Approach for Driver Drowsiness Detection by Real-Time Eye State Identification
    Florez, Ruben
    Palomino-Quispe, Facundo
    Coaquira-Castillo, Roger Jesus
    Herrera-Levano, Julio Cesar
    Paixao, Thuanne
    Alvarez, Ana Beatriz
    APPLIED SCIENCES-BASEL, 2023, 13 (13):
  • [45] Detecting Driver Drowsiness Using Eye State
    Liu, Xuefei
    Tan, Guanghua
    INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE), 2017, 190 : 612 - 618
  • [46] Driver Fatigue Detection based on Eye State Analysis
    Du, Yong
    Ma, Peijun
    Su, Xiaohong
    Zhang, Yingjun
    PROCEEDINGS OF THE 11TH JOINT CONFERENCE ON INFORMATION SCIENCES, 2008,
  • [47] Driver Drowsiness Detection Based on Time Series Analysis of Steering Wheel Angular Velocity
    Gao Zhenhai
    Le DinhDat
    Hu Hongyu
    Yu Ziwen
    Wu Xinyu
    PROCEEDINGS OF 2017 9TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA), 2017, : 99 - 101
  • [48] Yawning detection by the analysis of variational descriptor for monitoring driver drowsiness
    Akrout, Belhassen
    Mahdi, Walid
    2016 SECOND INTERNATIONAL IMAGE PROCESSING, APPLICATIONS AND SYSTEMS (IPAS), 2016,
  • [49] Driver Drowsiness Detection Using EEG Power Spectrum Analysis
    Awais, Muhammad
    Badruddin, Nasreen
    Drieberg, Micheal
    2014 IEEE REGION 10 SYMPOSIUM, 2014, : 244 - 247
  • [50] Driver Drowsiness Detection Algorithms Using Electrocardiogram Data Analysis
    Babaeian, Mohsen
    Mozumdar, Mohammad
    2019 IEEE 9TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2019, : 1 - 6
12345