Sleep Technology for Driving Safety

Sei-Wang Chen, Kuo Peng Yao, Hui Wen Lin

研究成果: 書貢獻/報告類型章节

1 引文 斯高帕斯(Scopus)


In this chapter, a vision system for monitoring driver vigilance is presented. The level of vigilance is determined by integrating a number of facial parametric values including: percentage of eye closure over time, average eye closure duration, eye blinking frequency, average degree of gaze, average duration of mouth openness and head nodding frequency. Initially, facial features including the eyes, mouth and head are first located in the input video sequence. They are then tracked over subsequent images. Facial parameters are estimated during facial feature tracking. A number of video sequences having drivers of both sex and of different ages under various illuminations and road conditions are employed to test the performance of the proposed system. Finally, we suggest future work on how to extend the system in terms of both efficiency and effectiveness.

主出版物標題Intelligent Systems, Control and Automation
主出版物子標題Science and Engineering
發行者Springer Netherlands
出版狀態已發佈 - 2012 一月 1


名字Intelligent Systems, Control and Automation: Science and Engineering

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Control and Optimization

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