In-attention State Monitoring for a Driver Based on Head Pose and Eye Blinking Detection Using One Class Support Vector Machine

@inproceedings{Jo2014InattentionSM,
  title={In-attention State Monitoring for a Driver Based on Head Pose and Eye Blinking Detection Using One Class Support Vector Machine},
  author={Hyunrae Jo and M. Lee},
  booktitle={ICONIP},
  year={2014}
}
This paper proposes a model to detect inattention cognitive state of a driver during various driving situations. The proposed system predicts driver’s inattention state based on the analysis of eye blinking patterns and head pose direction. The study uses an infrared camera and several feature extraction stages such as modified census transform (MCT) to reduce the effect of light source change in real traffic environment. Also, we propose a new eye blinking detection using the difference… Expand
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