Perception-Free Calibration of Eye Opening and Closing Threshold for Driver Fatigue Monitoring
Analyzing the opening and closing states of eyes and mouths by detecting the driver’s face feature points is an effective method for judging driver fatigue. However, in practical engineering applications, with the expansion of user groups, the false identification problem caused by the di...
Main Authors: | Cheng Ming, Yan Yunbing |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9965369/ |
Similar Items
-
How to Prevent Drivers before Their Sleepiness Using Deep Learning-Based Approach
by: Belhassen Akrout, et al.
Published: (2023-02-01) -
Gaussian Weighted Eye State Determination for Driving Fatigue Detection
by: Yunjie Xiang, et al.
Published: (2023-04-01) -
Sign Language Recognition Method Based on Palm Definition Model and Multiple Classification
by: Nurzada Amangeldy, et al.
Published: (2022-09-01) -
Fusion of EEG and Eye Blink Analysis for Detection of Driver Fatigue
by: Mohammad Shahbakhti, et al.
Published: (2023-01-01) -
Review of Research on Fatigue Driving Detection Based on Driver Facial Features
by: YANG Yanyan, LI Leixiao, LIN Hao
Published: (2023-06-01)