Accurate Fatigue Detection Based on Multiple Facial Morphological Features
Fatigue driving is becoming a dangerous and common situation for drivers and represents a significant factor for fatal car crashes. Machine learning researchers utilized various sources of information to detect driver’s drowsiness. This study integrated the morphological features of both the eye and...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
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Series: | Journal of Sensors |
Online Access: | http://dx.doi.org/10.1155/2019/7934516 |