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Automatic detection system of micro sleeps of car drivers based on EEG analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F16%3A00348917" target="_blank" >RIV/68407700:21260/16:00348917 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1145/2983468.2983487" target="_blank" >https://doi.org/10.1145/2983468.2983487</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/2983468.2983487" target="_blank" >10.1145/2983468.2983487</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic detection system of micro sleeps of car drivers based on EEG analysis

  • Original language description

    Many car incidents happen because the driver falls asleep. The onset of micro-sleeps can be detected by decreasing activity of alpha brain waves and increasing activity of delta brain waves. To develop an automated system for micro-sleeps detection an analysis tool for EEG recordings has been developed. The system has been tested in several experiments of drivers in a car simulator. The developed prototype, experiments and experimental results will be reported in this paper.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 17th International Conference on Computer Systems and Technologies 2016

  • ISBN

    978-1-4503-4182-0

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    214-221

  • Publisher name

    ACM

  • Place of publication

    New York

  • Event location

    Palermo

  • Event date

    Jun 23, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000558303700028