Recognizing driver inattention by convolutional neural networks

Chao Yan, Huiying Jiang, Bailing Zhang, Frans Coenen

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

23 Citations (Scopus)

Abstract

Driver inattention has long been recognized as the main contributing factors in traffic accidents. Development of intelligent driver assistance systems with embedded functionality of driver vigilance monitoring is therefore an urgent and challenging task. This paper presents a novel system which applies convolutional neural network to automatically learn and predict the state of driver's eye, mouth and ear. The initial inspiration is to predict driver fatigue and distraction by analysing these states. In our works, a CNN model was trained with six classes of labeled data. The Approach was verified using self-specified Driving Dataset, which comprised of four activities, including normal driving, responding to a cell phone call, eating and falling asleep. Experiment results demonstrate that our design achieves a promising performance with a overall accuracy of 95.56% in classifying six states of the driver's eye, mouth and ear.

Original languageEnglish
Title of host publicationProceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015
EditorsLipo Wang, Sen Lin, Zhiyong Tao, Bing Zeng, Xiaowei Hui, Liangshan Shao, Jie Liang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages680-685
Number of pages6
ISBN (Electronic)9781467390989
DOIs
Publication statusPublished - 16 Feb 2016
Event8th International Congress on Image and Signal Processing, CISP 2015 - Shenyang, China
Duration: 14 Oct 201516 Oct 2015

Publication series

NameProceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015

Conference

Conference8th International Congress on Image and Signal Processing, CISP 2015
Country/TerritoryChina
CityShenyang
Period14/10/1516/10/15

Keywords

  • Driving assistance system
  • Driving inattention recognition

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