JISE


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Journal of Information Science and Engineering, Vol. 39 No. 2, pp. 269-289


Cost-Effective Smartphone-Camera-Based Scheme to Distinguish Drivers from Passengers for Texting-While-Driving 


SHIH-YU HUANG AND CHIA-HUI WANG+
Department of Computer Science and Information Engineering
Ming Chuan University
Taoyuan, 333 Taiwan
E-mail: {syhuang; wangch
+}@mail.mcu.edu.tw


The method proposed in this paper utilizes the front and rear cameras of a user’s smartphone to distinguish drivers from passengers to prevent texting-while-driving. Since texting behaviors of drivers differ from those of passengers, the images captured by the front and rear cameras on a smartphone have distinguishable characteristics. These features can be cost-effectively employed to detect whether the smartphone is being used by the driver or a passenger. Our experimental results show that the accuracy of the proposed scheme is over 92% among most of the testing cases, which makes the proposed system a cost-effective tool for automotive safety via smartphone cameras.


Keywords: smartphone cameras, texting-while-driving, pattern recognition, SIFT, SURF

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