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Testing of features for fatigue detection in EOG

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124169" target="_blank" >RIV/00216305:26220/17:PU124169 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14110/17:00097867

  • Result on the web

    <a href="http://content.iospress.com/journals/bio-medical-materials-and-engineering/28/4" target="_blank" >http://content.iospress.com/journals/bio-medical-materials-and-engineering/28/4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3233/BME-171683" target="_blank" >10.3233/BME-171683</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Testing of features for fatigue detection in EOG

  • Original language description

    The article deals with the testing of features for fatigue detection in electrooculography (EOG) records. An optimal methodology for EOG signal acquisition is described; the Biopac data acquisition system was used. EOG signals were being recorded while 10 volunteers were watching prepared scenes. Three scenes were created for this purpose – a rotating ball, a video of driving a car, and a cross. Recorded EOG signals were processed and 20 features were extracted. The features involved blinks, slow eye movement (SEM), rapid eye movement (REM), eye instability, magnitude, and periodicity. These features were statistically tested and discussed in terms of fatigue detection ability. Some of the features were compared with published results. Finally, the best features – fatigue indicators – were selected.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/GAP102%2F11%2F1068" target="_blank" >GAP102/11/1068: Nano-Electro-Bio-Tools for Biochemical and Molecularly-Biological Studies of Eukaryotic Cells (NanoBioTECell)</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    BIO-MEDICAL MATERIALS AND ENGINEERING

  • ISSN

    0959-2989

  • e-ISSN

    1878-3619

  • Volume of the periodical

    28

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    14

  • Pages from-to

    379-392

  • UT code for WoS article

    000408296300005

  • EID of the result in the Scopus database

    2-s2.0-85028679226