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http://dx.doi.org/10.7471/ikeee.2019.23.3.844

A Method for Driver Recognition and Steering Wheel Turning Direction Estimation Using Smartwatches  

Huh, Joon (Dept. of Software, Gachon University)
Choi, Jaehyuk (Dept. of Software, Gachon University)
Publication Information
Journal of IKEEE / v.23, no.3, 2019 , pp. 844-851 More about this Journal
Abstract
As wearable technology is becoming more common and a part of our lives, there have been many efforts to offer various smart services with wearable devices, such as motion recognition, safety of driving, and so on. In this paper, we present a method that exploits the 9-axis inertial sensors embedded in a smartwatch to identify whether the user is a vehicle driver or not and to estimate the steering wheel turning direction in the vehicle. The system consists of three components: (i) position recognition, (ii) driver recognition, and (iii) steering-wheel turning detection components. We have developed a prototype system for detecting user's motion with Arduino boards and IMU sensors. Our experiments show high accuracy in recognizing the driver and in estimating the wheel rotation angle. The average experimental error was $11.77^{\circ}$ which is small enough to perceiver the turning direction of steering-wheel.
Keywords
Driver Detection; Vehicle Steering Detection; IMU Sensors; Smartwatch;
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1 J. Yang, et al. "Detecting driver phone use leveraging car speakers," in Proc. of the 17th annual international conference on Mobile computing and networking (Mobisys'11), pp.97-108, 2011. DOI:10.1145/2030613.2030625   DOI
2 H. Park, et al. "Poster: Are you driving?: non-intrusive driver detection using built-in smartphone sensors," in Proc. of the 20th annual international conference on Mobile computing and networking, 2014. DOI: 10.1145/2639108.2642896   DOI
3 C. Bo, X. Jian, X. Li, X. Mao, Y. Wang, F. Li, "You're driving and texting: detecting drivers using personal smart phones by leveraging inertial sensors," in Proc. of the 19th annual international conference on Mobile computing & networking (ACM Mobicom 13), pp.199-202, 2013. DOI: 10.1145/2500423.2504575   DOI
4 H. Chu, et al. "I am a smartphone and I know my user is driving," IEEE in Proc. of the Communication Systems and Networks, 2014. DOI :10.1109/COMSNETS.2014.6734870   DOI
5 R. Araujo, et al, "Driving coach: A smartphone application to evaluate driving efficient patterns," in Proc. of the IEEE Intelligent Vehicles Symposium (IV), 2012. DOI: 10.1109/IVS.2012.6232304   DOI
6 K. Li, F. Lu, Q. Lv, L. Shang, D. Maksimovic, "Personalized driving behavior monitoring and analysis for emerging hybrid vehicles," Pervasive Computing. Springer Berlin Heidelberg, vol.7319, pp.1-19, 2012. DOI: 10.1007/978-3-642-31205-2_1   DOI
7 B. Y. Jung, "Current Status and Prospects of the Wearable Devices Market," KISDI Research Report, vol.30, no.20, pp.1-7, 2018.
8 H. Huang, H. Chen, S. Lin, "MagTrack: Enabling Safe Driving Monitoring with Wearable Magnetics," in Proc. of the 17th Annual International Conference on Mobile Systems, Applications, and Services (Mobisys'19), pp.316-339, 2019. DOI: 10.1145/3307334.3326107
9 C. Bi, J. Huang, G. Xing, L. Jiang, X. Liu, M. Chen, "SafeWatch: AWearable Hand Motion Tracking System for Improving Driving Safety," in Proc. of the Second International Conference on Internet-of-Things Design and Implementation (IoTDI '17). ACM, pp.223-232, 2017. DOI: 10.1145/3054977.3054979   DOI
10 A. Parate, et al. "RisQ: Recognizing smoking gestures with inertial sensors on a wristband," in Proc. of the 12th annual international conference on Mobile systems, applications, and services (Mobisys'14), pp.149-161, 2014. DOI:10.1145/2594368.2594379   DOI
11 Steffen, Rainer, et al. "Near field communication (NFC) in an automotive environment," in Proc. of the 2nd International Workshop on Near Field Communication. IEEE, 2010. DOI: 0.1109/NFC.2010.11
12 D. Chen, et al. "Invisible sensing of vehicle steering with smartphones," in Proc. of the 13th Annual International Conference on Mobile Systems, Applications, and Services (Mobisys'15), pp.1-13, 2015. DOI: 10.1145/2742647.2742659   DOI