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Vol. 224, Issue 8, August 2018, pp. 39-50

 

Bullet

 

A Light on Suitability of Physiological Sensors for Efficient Driver Drowsiness Detection System
 

Messaoud DOUDOU, Abdelmadjid BOUABDALLAH and Veronique CHARFAOUI

Sorbonne Universités, Université de technologie de Compiégne, CNRS Lab. Heudiasyc, Compiégne, France

E-mail: messaoud.doudou@hds.utc.fr, madjid.bouabdallah@hds.utc.fr, veronique.cherfaoui@hds.utc.fr

 

Received: 30 April 2018 /Accepted: 31 July 2018 /Published: 31 August 2018

Digital Sensors and Sensor Sysstems

 

Abstract: The significant advance in bio-sensor technologies hold promise to monitor human physiological signals in real time. In the context of public safety, such technology knows notable research investigations to objectively detect early stage of driver drowsiness that impairs driver performance under various conditions. Seeking for low-cost, compact yet reliable sensing technology that can provide a solution to drowsy state problem is challenging. While some enduring solutions have been available as prototypes for a while, many of these technologies are now in the development, validation testing, or even commercialization stages. The contribution of this paper is to assess current progress in the development of bio-sensors based driver drowsiness detection technologies and study their fundamental specifications to achieve accuracy requirements. Existing market and research products are then ranked following the discussed specifications. The finding of this work is to provide a methodology to facilitate making the appropriate hardware choice to implement efficient yet low-cost drowsiness detection system using existing market physiological based sensors.

 

Keywords: Driver fatigue, Drowsiness detection, Measurement, Sensors, Physiological signals.

 

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