The Design of Driver Fatigue Detection Based on Eye Blinking and Mouth Yawing
Correlation coefficient; Intelligent transportation system (ITS); Template matching; Viola-Jones
In modern era, the Intelligent Transportation System (ITS) is very essential for the betterment of transport management, autonomous vehicles and especially for safe driving. The statistics suggest that the major severe accidents occur because of drivers drowsiness. The main objective of this work is to give the alert alarm when the driver is falling asleep. In the proposed study, the driver's face is detected using the Viola Jones algorithm, and a novel approach to detecting eye blinks using template matching and a similarity measure. For effective eye tracking, the normalized correlation coefficient is calculated. The correlation score is used to identify eye blinks since a blink causes a significant change in the correlation score. In tracking of mouth yawing finding the darkest region between the lips. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Manjunatha H.T.; Poornima K.M.; Danti A.; Arunkumar K.L.
Lecture Notes in Electrical Engineering, Vol-1236 LNEE, pp. 431-446.
Springer Science and Business Media Deutschland GmbH
Manjunatha H.T., Department of MCA, Jawaharlal Nehru New College of Engineering, Shimoga, India; Poornima K.M., Department of CSE, Jawaharlal Nehru New College of Engineering, Shimoga, India; Danti A., Department of AIML, Christ University, Bangalore, India; Arunkumar K.L., Department of MCA, Jawaharlal Nehru New College of Engineering, Shimoga, India