Visual Diagnostics of Vehicle Driver

KOTEK, Ondřej and Šimon ŘEŘUCHA. Visual Diagnostics of Vehicle Driver. In AiM2008. Trenčín: Faculty of Mechatronics, Alexander Dubcek University of Trencin, Slovakia, 2008, p. 65-70. ISBN 978-80-8075-359-7.

Basic information

Original name

Visual Diagnostics of Vehicle Driver

Name in Czech

Vizuální diagnostika řidiče vozidel

Authors

KOTEK, Ondřej (203 Czech Republic) and Šimon ŘEŘUCHA (203 Czech Republic, guarantor)

Edition

Trenčín, AiM2008, p. 65-70, 6 pp. 2008

Publisher

Faculty of Mechatronics, Alexander Dubcek University of Trencin, Slovakia

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14330/08:00027079

Organization unit

Faculty of Informatics

ISBN

978-80-8075-359-7

Keywords in English

image processing; HMI; fatigue detection; attention

Tags

attention, fatigue detection, HMI, image processing

Tags

International impact, Reviewed

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Abstract

V originále

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 "visual diagnostics" 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. We also concluded that the parameters influence the accuracy and the robustness against particular phenomenons depends actually less than the respective training set. The results indicates that the method is suitable for target environment and can reliably provide desired information with sufficient reliability.

In Czech

Tento příspěvek představuje myšlenku "Vizuální diagnostiky", tj. metody, kdy je na základě obrazovéhp záznamu řidiče vyhodnocována míra únavy řidiče, a první experimenty s metodou Active Appearance Models (AAM), která je základem zpracování. Pomocí těchto experimentů jsme hledali optimální parametry trénovaní a zpracování a testovali je oproti situacím, u kterých jsme předpokládali významný dopad na úspěšnost rozpoznání obrazu. Ve výsledku jsme identifikovali sadu faktorů, které mají negativní vliv a navrhli základní vodítka pro stavbu modelu. Výsledky naznačují, že obecně se metoda chová velmi robustně a spolehlivě.

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Links

ME 949, research and development project

Name: Analysis of negative impacts on driver attention Investor: Ministry of Education, Youth and Sports of the CR, Research and Development Programme KONTAKT (ME)