Driver Drowsiness Detection using Eye-Closeness Detection

被引：32

作者：

Khunpisuth, Oraan ^{[1
]}

Chotchinasri, Taweechai ^{[1
]}

Koschakosai, Varakorn ^{[1
]}

Hnoohom, Narit ^{[2
]}

机构：

[1] Mahidol Univ Int Coll, Fac Engn, Dept Comp Engn, Salaya, Nakhon Pathom, Thailand

[2] Mahidol Univ Int Coll, Fac Engn, Dept Comp Engn, Image Informat & Intelligence Lab, Salaya, Nakhon Pathom, Thailand

来源：

2016 12TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS) | 2016年

关键词：

Drowsiness; Face Detection; Eye Detection; Geometric Rotation; Region of Interest;

D O I：

10.1109/SITIS.2016.110

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The purpose of this paper was to devise a way to alert drowsy drivers in the act of driving. One of the causes of car accidents comes from drowsiness of the driver. Therefore, this study attempted to address the issue by creating an experiment in order to calculate the level of drowsiness. A requirement for this paper was the utilisation of a Raspberry Pi Camera and Raspberry Pi 3 module, which were able to calculate the level of drowsiness in drivers. The frequency of head tilting and blinking of the eyes was used to determine whether or not a driver felt drowsy. With an evaluation on ten volunteers, the accuracy of face and eye detection was up to 99.59 percent.

引用

页码：661 / 668

页数：8

共 14 条

[1]

Association for Safe International Road Travel (ASIRT), 2016, ROAD CRASH STAT

[2]

Bangkok Post, 2015, BANGKOK POST 1020

[3]

Drowsy Driving Facts and Stats, 2016, FACTS STATS DROWS DR

[4]

Emami S., 2010, FACE DETECTION FACE

[5]

Face Detection using Haar Cascades, 2016, OPENCV FAC DET US HA

[6] Driver drowsiness detection with eyelid related parameters by Support Vector Machine [J].

Hu Shuyan ;

Zheng Gangtie .

EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (04) :7651-7658

[7]

Jan T., 2016, DONT SLEEP DRIVE VWS

[8] Real-time eye, gaze, and face pose tracking for monitoring driver vigilance [J].

Ji, Q ;

Yang, XJ .

REAL-TIME IMAGING, 2002, 8 (05) :357-377

[9]

Raspberry Pi Camera Board, 2016, AD IND UN FUN DIY EL

[10]

Stormberg J., 2012, SCIENCE

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