About: Steering wheel motion analysis for detection of the driver's drowsiness     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Reliable system for driver's drowsiness recognition is the aim of many studies. Unfortunately, majority of researchers work with data acquired in laboratory with ideal or simulated conditions. Therefore it is difficult to implement their results to real vehicle and prove its reliability and accuracy. The analyzed data in this paper is acquired from real traffic and therefore it contains all uncertainty partially modeled in laboratory. For data acquisition has been chosen in-direct measurement from vehicle CAN bus in order to not affect the driver. All data are preprocessed according to assumptions about driver's behavior and transformed to frequency domain by means of orthogonal transform (STFT, CWT and DWT). Subsequently, data is analyzed by data mining methods including features extraction and filter feature selection. The performance of the features is measured by the area under the receiver operating characteristic.
  • Reliable system for driver's drowsiness recognition is the aim of many studies. Unfortunately, majority of researchers work with data acquired in laboratory with ideal or simulated conditions. Therefore it is difficult to implement their results to real vehicle and prove its reliability and accuracy. The analyzed data in this paper is acquired from real traffic and therefore it contains all uncertainty partially modeled in laboratory. For data acquisition has been chosen in-direct measurement from vehicle CAN bus in order to not affect the driver. All data are preprocessed according to assumptions about driver's behavior and transformed to frequency domain by means of orthogonal transform (STFT, CWT and DWT). Subsequently, data is analyzed by data mining methods including features extraction and filter feature selection. The performance of the features is measured by the area under the receiver operating characteristic. (en)
Title
  • Steering wheel motion analysis for detection of the driver's drowsiness
  • Steering wheel motion analysis for detection of the driver's drowsiness (en)
skos:prefLabel
  • Steering wheel motion analysis for detection of the driver's drowsiness
  • Steering wheel motion analysis for detection of the driver's drowsiness (en)
skos:notation
  • RIV/00216305:26220/11:PU95748!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
  • 232309
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU95748
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • drowsiness, driver, wavelet transform, fourier transform, fatigue, data, feature extraction, AUC (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4F3B0F1DBE66]
http://linked.open...v/mistoKonaniAkce
  • Puerto de la Cruz, Tenerife, Španělsko
http://linked.open...i/riv/mistoVydani
  • Puerto de la Cruz, Tenerife, Spain
http://linked.open...i/riv/nazevZdroje
  • Mathematical Models and Methods in Modern Science
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
  • Honzík, Petr
  • Haupt, Daniel
  • Hynčica, Ondřej
  • Rášo, Peter
http://linked.open...vavai/riv/typAkce
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
  • 978-1-61804-055-8
http://localhost/t...ganizacniJednotka
  • 26220
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software