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Authors: Damián Alvarez 1 ; Álvaro Orozco 1 and Augusto Salazar 2

Affiliations: 1 Grupo de Investigación en Control e Instrumentación, Universidad Tecnológica de Pereira, Colombia ; 2 Grupo de Investigación en Percepción y Control Inteligente, Universidad Nacional Sede Manizales, Colombia

Keyword(s): Driver fatigue.

Abstract: One of the most major causes of road crashes is the fatigue. In this paper it is shown a methodology for Driver Fatigue assessment based on computer vision (CV). CV is used to characterize different visual responses of the driver while driving and suffering from fatigue. Some of the visual responses are the eyelid and lips movements. The proposed Methodology uses an active appereance model (AAM) to adjust the facial model Candide3 from images sequences where spatial measures can be computed. These measures include the eye closeness and the mouth openness. Results show that with the measures computed it’s possible efficiently extract some discriminant parameters related to driver fatigue state. For example, the PERCLOS, the AECS, and the YawnFrec. Finally, an experimental framework is designed in order to compare the performance of the proposed method with psychological signal-based methods.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Alvarez, D.; Orozco, Á. and Salazar, A. (2010). MODEL-BASED FEATURE EXTRACTION FOR ASSESSMENT OF DRIVER-RELATED FATIGUE. In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2010) - Volume 1: IVC & ITS; ISBN 978-989-8425-00-3; ISSN 2184-2809, SciTePress, pages 295-298. DOI: 10.5220/0003004702950298

@conference{ivc & its10,
author={Damián Alvarez. and Álvaro Orozco. and Augusto Salazar.},
title={MODEL-BASED FEATURE EXTRACTION FOR ASSESSMENT OF DRIVER-RELATED FATIGUE},
booktitle={Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2010) - Volume 1: IVC & ITS},
year={2010},
pages={295-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003004702950298},
isbn={978-989-8425-00-3},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2010) - Volume 1: IVC & ITS
TI - MODEL-BASED FEATURE EXTRACTION FOR ASSESSMENT OF DRIVER-RELATED FATIGUE
SN - 978-989-8425-00-3
IS - 2184-2809
AU - Alvarez, D.
AU - Orozco, Á.
AU - Salazar, A.
PY - 2010
SP - 295
EP - 298
DO - 10.5220/0003004702950298
PB - SciTePress