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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3476-3480

Driver state detection framework based on temporal facial action information

Cui Ziyana
Wang Jianminga,b
Jin Guanghaoa
a. School of Computer Science & Software, b. School of Electronics & Information Engineering, Tianjin Polytechnic University, Tianjin 300380, China
DOI: 10.19734/j.issn.1001-3695.2018.05.0356

Abstract

It is an effective means to detect abnormal driving such as fatigue by detecting the driver's face video input network through a webcam. The previous method mainly analyzed the facial expressions such as the driver's mouth shape to analyze whether or not to yawn, thereby judging whether or not fatigue driving, but many similar states such as speaking were also mistakenly detected as fatigue. Aiming at the above problems, this paper proposed a detection framework based on sequential facial motion information to detect the driver's state, thus improving the detection accuracy and reducing the false detection rate. The framework extracted various features of the face to form a facial action unit by detecting the contour of the face in the video. It formed a sequential facial action by training the corresponding LSTM network. The unit performed a plurality of action unit fusions according to its correlation to detect the state of the final driver. The test results on the public YawDD data set show that the accuracy rate of the proposed ftamework is increased to 93.1% compared with the existing method, and the false detection rate of the fatigue state is greatly reduced.

Foundation Support

国家自然科学基金资助项目(61302127,61403278)
中国博士后科学基金资助项目(2015M570228)
天津市应用基础与前沿技术研究计划资助项目(15JCYBJC16600)
天津市自然科学基金资助项目(16JCYBJC42300)
天津市高等学校创新团队培养计划资助项目(TD13-5032)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0356
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Technology of Graphic & Image
Pages: 3476-3480
Serial Number: 1001-3695(2019)11-063-3476-05

Publish History

[2019-11-05] Printed Article

Cite This Article

崔子岩, 汪剑鸣, 金光浩. 基于时序性面部动作信息的驾驶员状态检测框架 [J]. 计算机应用研究, 2019, 36 (11): 3476-3480. (Cui Ziyan, Wang Jianming, Jin Guanghao. Driver state detection framework based on temporal facial action information [J]. Application Research of Computers, 2019, 36 (11): 3476-3480. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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