Dynamic driver fatigue detection using hidden Markov model in real driving condition

作者：

Highlights：

• Quantification and objective estimation of driver fatigue in real prolonged driving.

• Simultaneous recording of physiological parameters in wireless and nonintrusive way.

• Develop a dynamic fatigue detection model by multiple features and contexts.

摘要

•Quantification and objective estimation of driver fatigue in real prolonged driving.•Simultaneous recording of physiological parameters in wireless and nonintrusive way.•Develop a dynamic fatigue detection model by multiple features and contexts.

论文关键词：Driver fatigue,Physiological signals,Context information,Hidden Markov Model

论文评审过程：Received 4 February 2016, Revised 6 April 2016, Accepted 23 June 2016, Available online 24 June 2016, Version of Record 21 July 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.06.042