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Description
  • In the last decade a big effort was made to develop a reliable system for detection of the oncoming driver's sleepiness. Until now this problem has not been satisfactorily solved. In this paper we present our system for data acquisition and analysis. The data is collected from the engine CAN bus during test-rides in the real traffic conditions. The driver drowsiness is measured directly in the vehicle before and after the test-ride using the fusion of two methods: flicker test and subjective feeling. The data is analyzed using the data mining techniques including feature extraction and filter feature selection. The features are based on the discrete wavelet transform and short time Fourier transform. The performance of the features is measured by the area under the receiver operating characteristic.
  • In the last decade a big effort was made to develop a reliable system for detection of the oncoming driver's sleepiness. Until now this problem has not been satisfactorily solved. In this paper we present our system for data acquisition and analysis. The data is collected from the engine CAN bus during test-rides in the real traffic conditions. The driver drowsiness is measured directly in the vehicle before and after the test-ride using the fusion of two methods: flicker test and subjective feeling. The data is analyzed using the data mining techniques including feature extraction and filter feature selection. The features are based on the discrete wavelet transform and short time Fourier transform. The performance of the features is measured by the area under the receiver operating characteristic. (en)
Title
  • Vehicle Data Acquisition and Analysis for Detection of the Driver's Drowsiness
  • Vehicle Data Acquisition and Analysis for Detection of the Driver's Drowsiness (en)
skos:prefLabel
  • Vehicle Data Acquisition and Analysis for Detection of the Driver's Drowsiness
  • Vehicle Data Acquisition and Analysis for Detection of the Driver's Drowsiness (en)
skos:notation
  • RIV/00216305:26220/11:PU94737!RIV12-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/1897), Z(MSM0021630529)
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
  • 238100
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU94737
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • feature extraction, vehicle, data, drowsiness, fatigue, wavelet transform, fourier transform (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6C43E43F5289]
http://linked.open...v/mistoKonaniAkce
  • Brno University of Technology
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • The proceedings of the 17th International Conference on Soft Computing
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
  • Kučera, Pavel
  • Honzík, Petr
  • Haupt, Daniel
  • Pavlata, Karel
  • Rášo, Peter
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000302647900060
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-80-214-4302-0
http://localhost/t...ganizacniJednotka
  • 26220
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