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CLASSIFICATION OF DRIVER'S DROWSINESS FROM STEERING WHEEL MOTION UNDER REAL TRAFFIC CONDITIONS

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU99587" target="_blank" >RIV/00216305:26220/12:PU99587 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    CLASSIFICATION OF DRIVER'S DROWSINESS FROM STEERING WHEEL MOTION UNDER REAL TRAFFIC CONDITIONS

  • Original language description

    To develop a system for drivers drowsiness recognition is a challenging task in the modern car transportation. Many studies have promising results. Unfortunately most data is acquired in the laboratory conditions. Therefore proving drowsiness detection reliability and accuracy in real traffic is difficult. The analyzed data in this paper is acquired from the real traffic and hence it contains all uncertainty. An in-direct measurement from the vehicle CAN bus has been chosen for data acquisition in orderto not affect the driver. The data is preprocessed according to the assumptions about drivers behavior and transformed to the frequency domain by means of the orthogonal transform (STFT, CWT and DWT). Subsequently, in the frequency domain, more than 70000 features are generated. By means of the filter feature selection, 10 best features are chosen for a prediction. Finally, 1-NN model is used for prediction accuracy estimation.

  • 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

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MENDEL 2012, 18th International Conference on Soft Computing

  • ISBN

    978-80-214-4540-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    428-433

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Brno University of Technology

  • Event date

    Jun 27, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article