Title :
Mobile phone based drunk driving detection
Author :
Dai, Jiangpeng ; Teng, Jin ; Bai, Xiaole ; Shen, Zhaohui ; Xuan, Dong
Abstract :
Drunk driving, or officially Driving Under the Influence (DUI) of alcohol, is a major cause of traffic accidents throughout the world. In this paper, we propose a highly efficient system aimed at early detection and alert of dangerous vehicle maneuvers typically related to drunk driving. The entire solution requires only a mobile phone placed in vehicle and with accelerometer and orientation sensor. A program installed on the mobile phone computes accelerations based on sensor readings, and compares them with typical drunk driving patterns extracted from real driving tests. Once any evidence of drunk driving is present, the mobile phone will automatically alert the driver or call the police for help well before accident actually happens. We implement the detection system on Android G1 phone and have it tested with different kinds of driving behaviors. The results show that the system achieves high accuracy and energy efficiency.
Keywords :
accelerometers; mobile handsets; road accidents; road traffic; Android G1 phone; accelerometer; driving under the influence; drunk driving detection; mobile phone; orientation sensor; vehicle maneuvers; Accidents; Computer crashes; Medical treatment; Mobile handsets; Physics computing; US Department of Transportation; Vehicle crash testing; Vehicle detection; Vehicle driving; Vehicles; Acceleration; Drunk Driving Detection; Mobile Phones; Sensors;
Conference_Titel :
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2010 4th International Conference on-NO PERMISSIONS
Conference_Location :
Munich
Print_ISBN :
978-963-9799-89-9
Electronic_ISBN :
978-963-9799-89-9
DOI :
10.4108/ICST.PERVASIVEHEALTH2010.8901