Multi-dimensional Fatigue Driving Detection Method Based on SVM Improved by the Kernel Function

2021 ◽  
pp. 27-40
Author(s):  
Yilong Sun ◽  
Jieren Cheng ◽  
Minghan Chen ◽  
Manling Zeng ◽  
Zhiwei Fan ◽  
...  
Keyword(s):  
Kernel Function ◽  
Detection Method ◽  
Fatigue Driving

scholarly journals Multi-feature analysis fatigue driving based on Conditional Local Neural Fields algorithm detection method

2019 ◽  
Vol 1237 ◽  
pp. 022157
Author(s):  
Yan Wan ◽  
Min Liu ◽  
Jinghua Fan ◽  
Yingbin Zhao ◽  
Jiangpeng Jiang ◽  
...  
Keyword(s):  
Detection Method ◽  
Feature Analysis ◽  
Neural Fields ◽  
Fatigue Driving

Research of Fatigue Driving Warning System Based on Android

2014 ◽  
Vol 701-702 ◽  
pp. 400-404
Author(s):  
Jing Li Duan ◽  
Chun Fei Zhang ◽  
Qiu Shuang Wang
Keyword(s):  
Face Detection ◽  
Detection Method ◽  
Smart Phone ◽  
Warning System ◽  
The State ◽  
Smart Phones ◽  
Running Speed ◽  
Android System ◽  
Fatigue Driving ◽  
Fatigue Detection

This paper proposed a method for detecting fatigue detection Android smart phone system, and applied to the Android system. The system monitors the state of fatigue by smart phones photographs. Face detection method is used to localize the eyes of the driver and the eye region is extracted to monitor the movement of eyelids. An alarm rule is designed based on the PERCLOS standard to detect drowsy driving.Experiments show that the method is accurate rate, running speed, and can be used to monitor driver fatigue during the day.

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