Multi-Timescale Drowsiness Characterization Based on a Video of a Driver’s Face

Multi-Timescale Drowsiness Characterization Based on a Video of a Driver’s Face

Drowsiness is a major cause of fatal accidents, in particular in transportation. It is therefore crucial to develop automatic, real-time drowsiness characterization systems designed to issue accurate and timely warnings of drowsiness to the driver. In practice, the least intrusive, physiology-based...

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Bibliographic Details
Main Authors: Quentin Massoz, Jacques G. Verly, Marc Van Droogenbroeck
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
drowsiness
driver monitoring
multi-timescale
eye closure dynamics
psychomotor vigilance task
reaction time
convolutional neural network
Online Access:http://www.mdpi.com/1424-8220/18/9/2801

Internet

http://www.mdpi.com/1424-8220/18/9/2801

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