Prof. M. M. Mukhedkar Department of E&TC Engineering, DYPCOE, DYPCOE, Ambi, Talegaon Pune, India Abstract—One of the leading reasons for traffic accidents is distracted attention of driver. As day by day numbers of vehicles on road are increasing, the proportion of number of accidents is also increasing. Drivers with a low vigilance level suffer from marked decline in their abilities of percept...

OBJECTIVE The purpose of this study is to show the effectiveness of EEG alpha spindles, defined by short narrowband bursts in the alpha band, as an objective measure for assessing driver fatigue under real driving conditions. METHODS An algorithm for the identification of alpha spindles is described. The performance of the algorithm is tested based on simulated data. The method is applied to ...

Driver hypovigilance, often caused by fatigue and/or drowsiness, receives increasing attention in the last years; especially after it became evident that hypovigilance is a one of the major factor causing traffic accidents. Monitoring and detecting driver hypovigilance could contribute significantly to improve road traffic safety. This paper proposes fast methods to identify drowsiness and fati...

This paper presents a novel FTT (Feature Triangle Tracking) algorithm to track the eyes, mouth and pose of a fatigue driver. The proposed method uses the motion information to localize the face region, and the face region is processed in YCrCb color space to determine the locations of the eyes and mouth. According to geometrical relationships of facial components and the varied pose of the driv...

This project is about making cars more intelligent and interactive which may notify or resist user under unacceptable conditions, they may provide critical information of real time situations to rescue or police or owner himself. Driver fatigue resulting from sleep deprivation or sleep disorders is an important factor in the increasing number of accidents on today's roads. In this paper, we des...

In this research, a questionnaire survey was conducted to measure nap, drowsiness and fatigue of drivers who work for long shifts, to discuss about the work environment and health conditions for taxi and bus drivers who work at night-time. The questionnaire sheet used for this research was organized into the following categories: tension/tiredness, drowsiness while driving, and the nap situatio...