Performance Specifications of Market Physiological Sensors for Efficient Driver Drowsiness Detection System

Messaoud Doudou; Abdelmadjid Bouabdallah

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Paper

Performance Specifications of Market Physiological Sensors for Efficient Driver Drowsiness Detection System

Topics: Human-Computer Interfaces; Sensor Applications; Sensor Networks; Wearable Computing and Body Area Networks

In Proceedings of the 7th International Conference on Sensor Networks SENSORNETS - Volume 1, 99-106, 2018 , Funchal, Madeira, Portugal

Authors: Messaoud Doudou and Abdelmadjid Bouabdallah

Affiliation: Université de Technologie de Compiègne, France

Keyword(s): Driver Fatigue, Drowsiness Detection, Measurement, Sensors, Physiological Signals.

Related Ontology Subjects/Areas/Topics: Sensor Networks

Abstract: Significant advances in bio-sensors technologies hold promise to monitor human physiological signals in real time. In the context of driving safety, such devices are knowing notable research investigations to objectively detect early stages of driver drowsiness that impair driving performance under various conditions. Seeking for low-cost, compact yet reliable sensing technology that can provide a solution to drowsy state problem is challenging. The contribution of this paper is to study fundamental performance specifications required for the design of efficient physiological signals based driver drowsiness detection systems. Existing measurement products are then accessed and ranked following the discussed performance specifications. The finding of this work is to provide a tool to facilitate making the appropriate hardware choice to implement efficient yet low-cost drowsiness detection system using existing market physiological sensors products.

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Paper citation in several formats:

Doudou, M. and Bouabdallah, A. (2018). Performance Specifications of Market Physiological Sensors for Efficient Driver Drowsiness Detection System. In Proceedings of the 7th International Conference on Sensor Networks - SENSORNETS; ISBN 978-989-758-284-4; ISSN 2184-4380, SciTePress, pages 99-106. DOI: 10.5220/0006607800990106

@conference{sensornets18,
author={Messaoud Doudou. and Abdelmadjid Bouabdallah.},
title={Performance Specifications of Market Physiological Sensors for Efficient Driver Drowsiness Detection System},
booktitle={Proceedings of the 7th International Conference on Sensor Networks - SENSORNETS},
year={2018},
pages={99-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006607800990106},
isbn={978-989-758-284-4},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Sensor Networks - SENSORNETS
TI - Performance Specifications of Market Physiological Sensors for Efficient Driver Drowsiness Detection System
SN - 978-989-758-284-4
IS - 2184-4380
AU - Doudou, M.
AU - Bouabdallah, A.
PY - 2018
SP - 99
EP - 106
DO - 10.5220/0006607800990106
PB - SciTePress