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Description
  • In the paper we focus on discrimination between electrodes which are used for EEG signals recording and subsequent detection of car drivers’ vigilance levels. The detection is based on the classification of EEG spectrograms which are recorded from 19 electrodes spread over driver’s head. We are interested in the selection of a small subset of the most discriminating electrodes for each level. Especially, we are aimed on detection of hazardous states of microsleeps. The selection of electrodes was performed by means of GUHA data mining method and for classification we employed C4.5 classification algorithm.
  • In the paper we focus on discrimination between electrodes which are used for EEG signals recording and subsequent detection of car drivers’ vigilance levels. The detection is based on the classification of EEG spectrograms which are recorded from 19 electrodes spread over driver’s head. We are interested in the selection of a small subset of the most discriminating electrodes for each level. Especially, we are aimed on detection of hazardous states of microsleeps. The selection of electrodes was performed by means of GUHA data mining method and for classification we employed C4.5 classification algorithm. (en)
Title
  • Electrodes Selection for Microsleeps Detection by Classification of EEG Spectrograms
  • Electrodes Selection for Microsleeps Detection by Classification of EEG Spectrograms (en)
skos:prefLabel
  • Electrodes Selection for Microsleeps Detection by Classification of EEG Spectrograms
  • Electrodes Selection for Microsleeps Detection by Classification of EEG Spectrograms (en)
skos:notation
  • RIV/67985807:_____/08:00341912!RIV10-MD0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1F84B/042/520), Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 365797
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/08:00341912
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • microsleep detection; EEG spectrograms; data mining techniques; classification trees (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [39EBE3B5A5B3]
http://linked.open...v/mistoKonaniAkce
  • Malta
http://linked.open...i/riv/mistoVydani
  • Athens
http://linked.open...i/riv/nazevZdroje
  • New Aspects on Computing Research
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Coufal, David
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000260440500052
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • WSEAS Press
https://schema.org/isbn
  • 978-960-474-002-4
is http://linked.open...avai/riv/vysledek of
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