Taro Nakamura
ABSTRACT
In recent years, the rate of fatal motor vehicle accidents caused by distracted driving resulting from factors such as sleeping at the wheel has been increasing. Therefore, an alert system that detects driver drowsiness and prevents accidents as a result by warning drivers before they fall asleep is urgently required. Non-contact measuring systems using computer vision techniques have been studied, and in vision approach, it is important to decide what kind of feature we should use for estimating drowsiness.
- Hachisuka, S., Kimura, T., Ozaki, N., Ishida, K., and Nakatani, H. 2010. Drowsiness Detection Using Facial Expression Features. SAE International paper. 2010-01-0466.Google Scholar
- Irie, A., Takagiwa, M., Moriyama, K., and Yamashita, T. 2011. Improvements to Facial Contour Detection by Hierarchical Fitting and Regression. The First Asian Conference on Pattern Recognition Oral. pp. 273--277.Google Scholar
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