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- W2990913115 abstract "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." @default.
- W2990913115 created "2019-12-05" @default.
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- W2990913115 date "2019-10-01" @default.
- W2990913115 modified "2023-09-25" @default.
- W2990913115 title "Surveillance System for Abnormal Driving Behavior Detection" @default.
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- W2990913115 doi "https://doi.org/10.1109/incit.2019.8912135" @default.
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