A Brief Review on Different Driver's Drowsiness Detection Techniques
Автор: Anis-Ul-Islam Rafid, Amit Raha Niloy, Atiqul Islam Chowdhury, Nusrat Sharmin
Журнал: International Journal of Image, Graphics and Signal Processing @ijigsp
Статья в выпуске: 3 vol.12, 2020 года.
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Driver drowsiness is the momentous factor in a huge number of vehicle accidents. This driver drowsiness detection system has been valued highly and applied in various fields recently such as driver visual attention monitoring and driver activity tracking. Drowsiness can be detected through the driver face monitoring system. Nowadays smartphone-based application has developed rapidly and thus also used for driver safety monitoring system. In this paper, a detailed review of driver drowsiness detection techniques implemented in the smartphone has been reviewed. The review has also been focused on insight into recent and state-of-the-art techniques. The advantages and limitations of each have been summarized. A comparative study of recently implemented smartphone-based approaches and mostly used desktop-based approaches have also been discussed in this review paper. And the most important thing is this paper helps others to decide better techniques for the effective drowsiness detection.
Drowsiness, smartphone-based, desktop-based, driver drowsiness detection, face tracking and feature extraction
Короткий адрес: https://sciup.org/15017356
IDR: 15017356 | DOI: 10.5815/ijigsp.2020.03.05
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