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Vehicle Data Acquisition and Analysis for Detection of the Driver's Drowsiness

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU94737" target="_blank" >RIV/00216305:26220/11:PU94737 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Vehicle Data Acquisition and Analysis for Detection of the Driver's Drowsiness

  • Original language description

    In the last decade a big effort was made to develop a reliable system for detection of the oncoming driver's sleepiness. Until now this problem has not been satisfactorily solved. In this paper we present our system for data acquisition and analysis. The data is collected from the engine CAN bus during test-rides in the real traffic conditions. The driver drowsiness is measured directly in the vehicle before and after the test-ride using the fusion of two methods: flicker test and subjective feeling. The data is analyzed using the data mining techniques including feature extraction and filter feature selection. The features are based on the discrete wavelet transform and short time Fourier transform. The performance of the features is measured by the area under the receiver operating characteristic.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F09%2F1897" target="_blank" >GA102/09/1897: Safety of Car Transportation</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    The proceedings of the 17th International Conference on Soft Computing

  • ISBN

    978-80-214-4302-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1-6

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Brno University of Technology

  • Event date

    Jun 15, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000302647900060