A Light on Physiological Sensors for Efficient Driver Drowsiness Detection System
| Autor: | Doudou, Messaoud, Bouabdallah, Abdelmadjid, Cherfaoui, Veronique |
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| Přispěvatelé: | Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Sensors & Transducers Journal Sensors & Transducers Journal, International Frequency Sensor Association (IFSA), 2018, 224 (8), pp.39-50 |
| ISSN: | 1726-5479 |
| Popis: | International audience; The significant advance in bio-sensor technologies hold promise to monitor human physiologicalsignals in real time. In the context of public safety, such technology knows notable research investigations toobjectively 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 stateproblem is challenging. While some enduring solutions have been available as prototypes for a while, many ofthese technologies are now in the development, validation testing, or even commercialization stages. Thecontribution of this paper is to assess current progress in the development of bio-sensors based driver drowsinessdetection technologies and study their fundamental specifications to achieve accuracy requirements. Existingmarket and research products are then ranked following the discussed specifications. The finding of this work isto provide a methodology to facilitate making the appropriate hardware choice to implement efficient yet lowcostdrowsiness detection system using existing market physiological based sensors |
| Databáze: | OpenAIRE |
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