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Detection of Blink State Based on Fatigued Driving Cover
By: Lei Chao,  Wang Changyuan,  Li Guang and  Shi Lu  
Open Access
|Jan 2020

Figures & Tables

Figure 1.

Facial feature points
Facial feature points

Figure 2.

(a) The lateral distance is cd longitudinally ab; (b) dlib human eye calibration features
(a) The lateral distance is cd longitudinally ab; (b) dlib human eye calibration features

Figure 3.

The following is the experimental data of the paper
The following is the experimental data of the paper

Figure 4.

Public data set sample
Public data set sample

COMPARED WITH OTHER LITERATURE

literatureRecognition rate
991.5%
1483.7%
This article92.5%

COMPARED WITH PUBLIC DATASETS

Experimental sampleBlink thresholdBlink timesNumber of recognitionRecognition rate
Text person5.11009090%
Public data set5.125523692.5%
Language: English
Page range: 24 - 29
Published on: Jan 27, 2020
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Lei Chao, Wang Changyuan, Li Guang, Shi Lu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.