Journal of Jilin University(Information Science Ed ›› 2015, Vol. 33 ›› Issue (6): 680-.

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Research on Method of Driver’s Negative Emotions Detection System

MA Xingmin1, SUN Wencai2, XU Yi2, ZHENG Pengyu3   

  1. 1. Department of Automototive Engineering, Yantai Vocational College, Yantai 264670, China; 2. College of Traffic, Jilin University,
    Changchun 130022, China; 3. Jilin Province Foreign Enterprises Service Company Limited, Changchun 130021, China
  • Received:2015-05-05 Online:2015-11-27 Published:2016-01-04

Abstract:

To avoid traffic accidents caused by abnormal driving status, a method of negative emotional state detection method is proposed. LBP ( Local Binary Patterns) and SVM ( Support Vector Machine) are used combining decision tree algorithm for facial expression recognition and analyzing. The experimental results on the datasets show that the proposed method has high accuracy while maintaining the low cost processes.

Key words: negative emotions, computer vision, emotional state detection, support vector machine(SVM)

CLC Number: 

  • TP391