期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2018
卷号：7
期号：5
页码：23914
出版社：IJECS
摘要：In this paper, we proposed a driver drowsiness detection method for which only eyelid movementinformation was required. The proposed method consists of two major parts. 1) In order to obtain accurateeye openness estimation, a vision based eye openness recognition method was proposed to obtain anregression model that directly gave degree of eye openness from a low-resolution eye image withoutcomplex geometry modeling, which is efficient and robust to degraded image quality. 2) A novel featureextraction method based on unsupervised learning was also proposed to reveal hidden pattern from eyelidmovements as well as reduce the feature dimension. To develop such a system we need to install somehardware components like camera inside the vehicle, which can capture the image of the driver at a fixedinterval, and an alarm system, which will alert the driver after detecting his/her level of drowsiness and inthe next level it will stop the vehicle automatically. Now apart from these hardware components, we need asoftware part also, which can detect the level of drowsiness of the driver and is the main concern of ourpaper. In this paper, we develop a drowsiness detection system that will accurately monitor the open orclosed state of the driver’s eyes in real-time. The proposed method was evaluated and shown goodperformance.
