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    An Embedded Driver Fatigue Detect System Based on Vision

    An Embedded Driver Fatigue Detect System Based on Vision


    Abstract The embedded driver fatigue detect system is a real-time system can detect driver fatigue. In order to improve the performance of embedded driver fatigue monitor system, we propose a new system on chip (SOC) structure for accelerating the fatigue estimate. The new SOC consists two parts including the main processor and support vector machine IP core. An embedded Linux was transplanted and run the main algorithm which consists Haar-Adaboost classifier to locate the face and eyes. The SVM IP core accomplished the task of classifying the eyes’ statues. At last the system will estimate the state with PERCLOS standard. The results show that the system can content the need of real-world.

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    Titel :

    An Embedded Driver Fatigue Detect System Based on Vision

    Beteiligte:
    Shen, Huaming (Autor:in) / Xu, Meihua (Autor:in) / Ran, Feng (Autor:in)
    Erschienen in:

    Advanced Computational Methods in Life System Modeling and Simulation ; 7 ; 455-461

    Communications in Computer and Information Science ; 761 , 7

    Erscheinungsdatum :

    2017-01-01

    Format / Umfang :

    7 pages

    ISBN :

    978-981-10-6369-5 , 978-981-10-6370-1

    ISSN :

    1865-0929 , 1865-0937

    DOI :

    https://doi.org/10.1007/978-981-10-6370-1_45

    Medientyp :

    Aufsatz/Kapitel (Buch)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    Embedded system , Driver fatigue , Support vector machine Computer Science , Simulation and Modeling , Computational Biology/Bioinformatics , Health Informatics

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