Identification and monitoring of traffic operators' fatigue level
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11120%2F20%3A43920495" target="_blank" >RIV/00216208:11120/20:43920495 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21260/20:00341932
Result on the web
<a href="https://doi.org/10.1109/SCSP49987.2020.9133912" target="_blank" >https://doi.org/10.1109/SCSP49987.2020.9133912</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP49987.2020.9133912" target="_blank" >10.1109/SCSP49987.2020.9133912</a>
Alternative languages
Result language
angličtina
Original language name
Identification and monitoring of traffic operators' fatigue level
Original language description
The article deals with the proposal of a methodology for identification and monitoring of traffic operators' fatigue level, with focus on the air traffic controllers. Many scientific methods of fatigue detection are not applicable in the traffic operators' environment due to significant disruption of the normal traffic operators' comfort. Research focuses therefore on a method of voice analysis that does not interfere with normal operation but has not yet been sufficiently scientifically verified. The currently realized project uses a scientifically validated EEG method for validating the voice analysis method for designing a voice analysis methodology for the purposes of identifying and measuring the current fatigue level of operators in traffic, specifically in the air traffic management environment but with potential for use in all modes of transport.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 Smart City Symposium Prague (SCSP)
ISBN
978-1-72816-821-0
ISSN
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e-ISSN
—
Number of pages
6
Pages from-to
"Article 9133912"
Publisher name
IEEE
Place of publication
New Jersey
Event location
Praha
Event date
Jun 25, 2020
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000590471100007