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  • The statistics has proven that the major cause of traffic accidents is insufficient attention paid to the traffic situation by the driver. One of the most common causes of decreased attention is fatigue and the probably most serious consequence is a microsleep. Our objective is to propose a robust method for diagnostics of drivers' level of attention by the means of visual recognition; this method is intended to be used with conjunction with other methods (e.g. EEG assessment) to achieve better accuracy. This contribution presents the our concept of %22visual diagnostics%22 and our preliminary experiments with AAM method. We have sought for optimal parameters and training set for the AAM model creation and tested them against certain states that were expected to have significant impact on the recognition results. We have identified several factors that have significant negative impact on the accuracy and proposed guidelines to build the model.
  • The statistics has proven that the major cause of traffic accidents is insufficient attention paid to the traffic situation by the driver. One of the most common causes of decreased attention is fatigue and the probably most serious consequence is a microsleep. Our objective is to propose a robust method for diagnostics of drivers' level of attention by the means of visual recognition; this method is intended to be used with conjunction with other methods (e.g. EEG assessment) to achieve better accuracy. This contribution presents the our concept of %22visual diagnostics%22 and our preliminary experiments with AAM method. We have sought for optimal parameters and training set for the AAM model creation and tested them against certain states that were expected to have significant impact on the recognition results. We have identified several factors that have significant negative impact on the accuracy and proposed guidelines to build the model. (en)
Title
  • Visual Diagnostics of Vehicle Driver
  • Visual Diagnostics of Vehicle Driver (en)
skos:prefLabel
  • Visual Diagnostics of Vehicle Driver
  • Visual Diagnostics of Vehicle Driver (en)
skos:notation
  • RIV/00216224:14330/08:00027079!RIV10-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ME 949)
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
  • 402802
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/08:00027079
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • image processing; HMI; fatigue detection; attention (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C3F6052151AA]
http://linked.open...v/mistoKonaniAkce
  • Trencin, Bratislava
http://linked.open...i/riv/mistoVydani
  • Trenčín
http://linked.open...i/riv/nazevZdroje
  • AiM2008
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
  • Řeřucha, Šimon
  • Kotek, Ondřej
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Faculty of Mechatronics, Alexander Dubcek University of Trencin, Slovakia
https://schema.org/isbn
  • 978-80-8075-359-7
http://localhost/t...ganizacniJednotka
  • 14330
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