Abstract Eyes opening and closing status is one of the most important components to monitor the driver's fatigue.d The current research mainly considers eyes blink frequency and the closing duration to judge the driver's fatigue. To identify driver's fatigue level, eyes opening and closing ratio (EOCR) is a critical factor and therefore, it is desirable to detect EOCR for driver's fatigue monitoring. The proposed method aims to simultaneously segment images and measure the parameters of the EOCR. A BiSeNet‐based iris and pupil segmentation network is first proposed and the Visual Geometry Group (VGG) ConvNet‐based model to detect the EOCR value is provided by considering the main features rounding eyes area and the iris‐pupil size for building test dataset. The comparison experiments are conducted with the proposed method and the other existing work in different datasets, such as CASIA‐Iris‐Thousand, CASIA‐Iris‐Interval, and UBIRIS.v2. The results demonstrate that the proposed method has superior detection effects on both infrared images and colour images than other existing approaches. Furthermore, the experiments of detecting the EOCR and iris and pupil segmentation are carried out with the test dataset and the results show that the proposed method can reliably identify driver's eye opening and closing degree.


    Access

    Download


    Export, share and cite



    Title :

    Detection method of eyes opening and closing ratio for driver's fatigue monitoring


    Contributors:
    Qijie Zhao (author) / Junye Jiang (author) / Zhigao Lei (author) / Jingang Yi (author)


    Publication date :

    2021




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Detection method of eyes opening and closing ratio for driver's fatigue monitoring

    Zhao, Qijie / Jiang, Junye / Lei, Zhigao et al. | Wiley | 2021

    Free access

    How good are driver's eyes?

    Hoare, A.E. | Engineering Index Backfile | 1936


    Driver's Eyes Detection and Tracking System Using Two Cameras

    Li, Lingling / Chen, Yangzhou / Xin, Le | ASCE | 2010


    DRIVER'S FATIGUE DETECTION SYSTEM AND METHOD

    KO MING-KUAN / FENG YEN-CHENG | European Patent Office | 2016

    Free access

    Driver's fatigue detection system and method

    KO MING-KUAN / FENG YEN-CHENG | European Patent Office | 2016

    Free access