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http://dx.doi.org/10.9723/jksiis.2012.17.3.035

Driving Pattern Recognition System Using Smartphone sensor stream  

Song, Chung-Won (군산대학교 컴퓨터정보공학과)
Nam, Kwang-Woo (군산대학교 컴퓨터정보공학과)
Lee, Chang-Woo (군산대학교 컴퓨터정보공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.17, no.3, 2012 , pp. 35-42 More about this Journal
Abstract
The database for driving patterns can be utilized in various system such as automatic driving system, driver safety system, and it can be helpful to monitor driving style. Therefore, we propose a driving pattern recognition system in which the sensor streams from a smartphone are recorded and used for recognizing driving events. In this paper we focus on the driving pattern recognition that is an essential and preliminary step of driving style recognition. We divide input sensor streams into 7 driving patterns such as, Left-turn(L), U-turn(U), Right-turn(R), Rapid-Braking(RB), Quick-Start(QS), Rapid-Acceleration (RA), Speed-Bump(SB). To classify driving patterns, first, a preprocessing step for data smoothing is followed by an event detection step. Last the detected events are classified by DTW(Dynamic Time Warping) algorithm. For assisting drivers we provide the classified pattern with the corresponding video stream which is recorded with its sensor stream. The proposed system will play an essential role in the safety driving system or driving monitoring system.
Keywords
3-axis Accelerometer; Driving Pattern Recognition; Event Section Detection; Dynamic Time Warping;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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