Surveillance System for Abnormal Driving Behavior Detection
Parkpoom Chaisiriprasert, Karn Yongsiriwit · 2019
The objective of this research is to detect abnormal car driving behaviors that may result in accidents. The behaviors include exhaustion from driving for a long time, taking eyes off the road, and the abnormal eye-blink from the sleepiness. The researchers are interested to develop a mobile application that analyzes car driving behaviors using a face detection algorithm. Our application is easy to install and to use on any Android based smartphone. Concretely, our mobile application considers three factors: (1) time of driving; (2) abnormal eye-blinking; and (3) taking eyes off the road. We integrate these factors with the acceleration of the driving vehicle to analyze and calculate abnormality level. Therefore, we send a voice notification to the driver when the calculated abnormality level exceeds 10. We perform experiments and experimental results show that our mobile application is feasible in realistic situations.