Hypovigilance Detection Based on Eyelids Behavior Study

Authors

  • Belhassen Akrout MIRACL "Multimedia, InfoRmation Systems and Advanced Computing Laboratory"
  • Walid Mahdi MIRACL "Multimedia, InfoRmation Systems and Advanced Computing Laboratory"

DOI:

https://doi.org/10.3991/ijes.v1i1.2927

Abstract


The supervision of people in special circumstances, having as their purpose detecting risk situations, is an area which has many applications. In this context we are interested, in this paper, the problems of driver drowsiness detection based on video analysis. We describe a new approach to detect reduced alertness automatically, to prevent the driver. Unlike many other works, our noninvasively approach is based only on the analysis of geometric features captured form faces video sequence without any electronics elements related to human.

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Published

2013-07-23

How to Cite

Akrout, B., & Mahdi, W. (2013). Hypovigilance Detection Based on Eyelids Behavior Study. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 1(1), pp. 39–45. https://doi.org/10.3991/ijes.v1i1.2927

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Section

Papers