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A Fuzzy Logic Based System for Detection of Car Driver's Vigilance Level

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F08%3A00319758" target="_blank" >RIV/67985807:_____/08:00319758 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Fuzzy Logic Based System for Detection of Car Driver's Vigilance Level

  • Original language description

    The paper presents an application of fuzzy logic modeling techniques for design and development of a classification system for car driver's vigilance level detection. Especially, the micro-sleeps detection is of our primary interest. Detection is based on a pattern analysis of EEG signal spectrograms, which are acquired by monitoring the driver during a driving process. The system is based on the concept of radial implicative fuzzy system, which can be treated as a logical system accommodating acquiredknowledge in a structured form.

  • Czech name

    Detektor bdělosti řidiče založený na fuzzy logice

  • Czech description

    Článek se zabývá aplikací fuzzy logických modelovacích technik za účelem vytvoření detektoru úrovně bdělosti řidiče. Speciálně se zaměřujeme na detekci mikrospánků, založenou na analýze EEG signálů. Konstrukce detektoru vychází z konceptu radiálního implikačního fuzzy systému, který umožňuje reprezentovat znalosti ve strukturované formě.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ME%20949" target="_blank" >ME 949: Analýza negativních vlivů na pozornost řidičů</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Neural Network World

  • ISSN

    1210-0552

  • e-ISSN

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    000262520700007

  • EID of the result in the Scopus database