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Sensors 2016, 16(10), 1746; doi:10.3390/s16101746

A Novel Model-Based Driving Behavior Recognition System Using Motion Sensors

Advanced Sensor and Integrated System Lab, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 31 July 2016 / Revised: 13 September 2016 / Accepted: 27 September 2016 / Published: 20 October 2016
(This article belongs to the Section Physical Sensors)
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Abstract

In this article, a novel driving behavior recognition system based on a specific physical model and motion sensory data is developed to promote traffic safety. Based on the theory of rigid body kinematics, we build a specific physical model to reveal the data change rule during the vehicle moving process. In this work, we adopt a nine-axis motion sensor including a three-axis accelerometer, a three-axis gyroscope and a three-axis magnetometer, and apply a Kalman filter for noise elimination and an adaptive time window for data extraction. Based on the feature extraction guided by the built physical model, various classifiers are accomplished to recognize different driving behaviors. Leveraging the system, normal driving behaviors (such as accelerating, braking, lane changing and turning with caution) and aggressive driving behaviors (such as accelerating, braking, lane changing and turning with a sudden) can be classified with a high accuracy of 93.25%. Compared with traditional driving behavior recognition methods using machine learning only, the proposed system possesses a solid theoretical basis, performs better and has good prospects. View Full-Text
Keywords: driving behavior recognition; physical model; data change rule; motion sensors; Kalman filter; adaptive time window; classification driving behavior recognition; physical model; data change rule; motion sensors; Kalman filter; adaptive time window; classification
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wu, M.; Zhang, S.; Dong, Y. A Novel Model-Based Driving Behavior Recognition System Using Motion Sensors. Sensors 2016, 16, 1746.

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