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Fatigue Indicators of Drowsy Drivers Based on Analysis of Physiological Signals

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Medical Data Analysis (ISMDA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2199))

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Abstract

The analysis of physiological signals (EEG, ECG EOG) of drowsy and alert drivers described here is aimed at determining the fatigue level of the driver while driving. We tested possible fatigue indicators: 1. extracted from EEG spectrum; 2. based on blinking frequency, interval histogram and speed of blinks; 3. fractal properties of RR interval- series. The first group of indicators is assumed to provide information about immediate fatigue level, whereas groups 2 and 3 are more suitable for determining the driver.s global state (alert/drowsy).

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References

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering, Dept. of Cybernetics, Czech Technical University in Prague, Technická 2, 166 27, Prague 6, Czech Republic

    Bittner Roman

  2. Centre for BioMedical Engineering, Czech Technical University in Prague, Bílá 91, 166 35, Prague 6, Czech Republic

    Bittner Roman, Smrčka Pavel, Pavelka Miroslav & Poušek Lubomír

  3. Faculty of Transportation Sciences, Dept. of Automation in Transportation, Czech Technical University in Prague, Konviktská 20, 110 00, Prague 1, Czech Republic

    Vysoký Petr

Authors
  1. Bittner Roman
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  2. Smrčka Pavel
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  3. Pavelka Miroslav
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  4. Vysoký Petr
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  5. Poušek Lubomír
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Editor information

Editors and Affiliations

  1. Polytechnical University of Madrid Artificial Intelligence Laboratory, Medical Informatics Group, 28660, Boadilla del Monte (Madrid), Spain

    Jose Crespo  & Victor Maojo  & 

  2. Health Bioinformatics Unit, Institute of Health Carlos III, Ctra. de Majadahonda-Pozuelo Km.2, 28220, Majadahonda (Madrid), Spain

    Fernando Martin

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© 2001 Springer-Verlag Berlin Heidelberg

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Roman, B., Pavel, S., Miroslav, P., Petr, V., Lubomír, P. (2001). Fatigue Indicators of Drowsy Drivers Based on Analysis of Physiological Signals. In: Crespo, J., Maojo, V., Martin, F. (eds) Medical Data Analysis. ISMDA 2001. Lecture Notes in Computer Science, vol 2199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45497-7_9

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  • DOI: https://doi.org/10.1007/3-540-45497-7_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42734-6

  • Online ISBN: 978-3-540-45497-7

  • eBook Packages: Springer Book Archive

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