Mobile phone based drunk driving detection

• Published in: 2010 4th International Conference on Pervasive Computing Technologies for Healthcare pp. 1 - 8
• Main Authors: Jiangpeng Dai, Jin Teng, Xiaole Bai, Zhaohui Shen, Dong Xuan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2010
• Subjects: Acceleration; Accidents; Computer crashes; Drunk Driving Detection; Medical treatment; Mobile handsets; Mobile Phones; Physics computing; Sensors; US Department of Transportation; Vehicle crash testing; Vehicle detection; Vehicle driving; Vehicles
• ISSN: 2153-1633
• DOI: 10.4108/ICST.PERVASIVEHEALTH2010.8901

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.