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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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