Identification and monitoring of traffic operators' fatigue level

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21260/20:00341932

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Identification and monitoring of traffic operators' fatigue level

Popis výsledku v původním jazyce

The article deals with the proposal of a methodology for identification and monitoring of traffic operators&apos; fatigue level, with focus on the air traffic controllers. Many scientific methods of fatigue detection are not applicable in the traffic operators&apos; environment due to significant disruption of the normal traffic operators&apos; 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.

Název v anglickém jazyce

Identification and monitoring of traffic operators' fatigue level

Popis výsledku anglicky

The article deals with the proposal of a methodology for identification and monitoring of traffic operators&apos; fatigue level, with focus on the air traffic controllers. Many scientific methods of fatigue detection are not applicable in the traffic operators&apos; environment due to significant disruption of the normal traffic operators&apos; 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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

2020 Smart City Symposium Prague (SCSP)

ISBN

978-1-72816-821-0

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

"Article 9133912"

Název nakladatele

IEEE

Místo vydání

New Jersey

Místo konání akce

Praha

Datum konání akce

25. 6. 2020

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

000590471100007