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Accident Alert System using Eye Blinking & Head Movement

Author(s):

Pisal Akash Ashok , Dr.AGTI?s, Dr. Daulatrao Aher College of Engineering, Karad.; Chavan P.D., Dr.AGTI?s, Dr. Daulatrao Aher College of Engineering, Karad.; Yadav Sangram Nivrutti, Dr.AGTI?s, Dr. Daulatrao Aher College of Engineering, Karad.; Deshmukh Niraj Jaganath, Dr.AGTI?s, Dr. Daulatrao Aher College of Engineering, Karad.

Keywords:

Human fatigue, Probabilistics, Eyeblinking & Head movement

Abstract

this paper uses a real-time prototype driver fatigue monitor. It uses remotely located ADXL-335 along with eye blinking sensor for monitoring the level of alertness of the driver based on the eye lid and the head movement of the driver. A probabilistic model is developed to model human fatigue and the fatigue based on the current visual cues obtained. The simultaneous use of both the cues and their symmetric combinations yields a much more robust and accurate fatigue characterization .The system was validated under real time fatigue conditions of driver with/without glasses. It was found to be reasonable, robust and reliable.

Other Details

Paper ID: IJSRDV4I20896
Published in: Volume : 4, Issue : 2
Publication Date: 01/05/2016
Page(s): 894-896

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