ADAPTABLE MICROSLEEP DETECTION BASED ON EOG SIGNALS: A FEASIBILITY STUDY
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00234451" target="_blank" >RIV/68407700:21230/15:00234451 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
ADAPTABLE MICROSLEEP DETECTION BASED ON EOG SIGNALS: A FEASIBILITY STUDY
Original language description
The microsleeps (MS) cause many traffic and various other accidents. These states of extreme drowsiness could be prevented by automatic detection or prediction. With that in mind, the classifier of MS was designed in this study based on the EOG analysis.The algorithm was proposed to be able to adapt independently to each analysed EOG signal. Finally, it was tested on 39 MS episodes and compared with the method based on fix thresholding. We reached sensitivity 82 % and positive predictivity 67 % by using the presented approach. It is necessary to extend the dataset in a successive study.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
INTERNATIONAL WORKSHOP ON COMPUTATIONAL INTELLIGENCE FOR MULTIMEDIA UNDERSTANDING
ISBN
978-1-4673-8457-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
České vysoké učení technické v Praze
Place of publication
Praha
Event location
Praha
Event date
Oct 29, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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