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Article Dans Une Revue Sensors & Transducers. Année : 2018

A Light on Physiological Sensors for Efficient Driver Drowsiness Detection System

Résumé

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 lowcost drowsiness detection system using existing market physiological based sensors,
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Dates et versions

hal-02162758 , version 1 (22-06-2019)

Identifiants

  • HAL Id : hal-02162758 , version 1

Citer

Messaoud Samir Doudou, Abdelmadjid Bouabdallah, Veronique Cherfaoui. A Light on Physiological Sensors for Efficient Driver Drowsiness Detection System. Sensors & Transducers., 2018, 224 (8), pp.39-50. ⟨hal-02162758⟩
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