Vehicle Data Acquisition and Analysis for Detection of the Driver's Drowsiness

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU94737" target="_blank" >RIV/00216305:26220/11:PU94737 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Vehicle Data Acquisition and Analysis for Detection of the Driver's Drowsiness

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Vehicle Data Acquisition and Analysis for Detection of the Driver's Drowsiness

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F09%2F1897" target="_blank" >GA102/09/1897: Bezpečnost automobilové dopravy - BAD</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The proceedings of the 17th International Conference on Soft Computing

ISBN

978-80-214-4302-0

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Brno University of Technology

Datum konání akce

15. 6. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000302647900060