A driving behavior detection system based on a smartphone's built‐in sensor
Yantao Li, Fengtao Xue, Lei Feng, Zehui Qu · International Journal of Communication Systems · 2016
Summary Traffic accidents resulting from driving behavior and road conditions are crucial problems for drivers. The causes and responses to traffic accidents have been widely studied by researchers. Whereas several approaches have been proposed to ease these problems, most works entail high computational costs or rigid hardware conditions. To address these challenges, we proposeHealth Driving, a smartphone‐based system for detecting driving events and road conditions solely with a built‐in smartphone acceleration sensor. More specifically, we first collect acceleration data from the acceleration sensor of a smartphone on a vehicle, and then utilize an acceleration reorientation calibration algorithm to convert the obtained acceleration data from the smartphone to acceleration data of the vehicle. Finally, we exploitHealth Drivingto detect driving events and road conditions, and evaluate the seriousness of the road conditions and driving events by using an efficient scoring mechanism based on the ISO 2631 standard. An extensive evaluation demonstrates thatHealth Drivingoperates successfully with an ordinary smartphone, and operates with a low computational cost compared with other methods. Copyright © 2016 John Wiley & Sons, Ltd.