• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (04): 731-736.

• 论文 • Previous Articles     Next Articles

Yawning detection based on mouth feature point curve fitting         

XIE Guobo,CHEN Yunhua,ZHANG Ling,DING Wuyang   

  1. (College of Computer,Guangdong University of Technology,Guangzhou 510006,China)
  • Received:2012-08-27 Revised:2012-12-30 Online:2014-04-25 Published:2014-04-25

Abstract:

In yawning detection for fatigue analysis,it is difficult to get the exact location of the two mouth corners,the open size and open duration varies for different individuals.For this problem, it proposes a yawning detection method based on mouth inner contour corner detection and curve fitting of those corner points. Firstly,several points are located on the contour of the mouth by corner detection.Secondly,the mathematical model of the mouth inner contour is established by curve fitting to those points.Thirdly,the mouth openness curve is analyzed in the time sequence to identify the yawning twice.Experimental results show that this method can obtain more precise mouth openness,and reduce false detection rate of yawning.

Key words: corner detection;contour extraction;curve fitting;yawning detection