2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (2011)
July 6, 2011 to July 8, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD.2011.33
This paper proposes a novel biometric authentication method based on the recognition of drivers' dynamic handgrip on steering wheel. A pressure sensitive mat mounted on a steering wheel is employed to collect handgrip data exerted by the hands of drivers who intend to start the vehicle. Then, the likelihood-ratio-based classifier is designed to distinguish rightful driver of a car after analyzing their inherent dynamic features of grasping. The experimental results obtained in this study show that mean acceptance rates of 85.4% for the trained subjects and mean rejection rates of 82.65% for the un-trained ones are achieved by the classifier in the two batches of testing. It can be concluded that the driver verification approach based on dynamic handgrip recognition on steering wheel is a promising biometric technology and will be further explored in the near future in smart car design.
driver verification, car security, haptic sensing, biometric authentication, grasping features, handgrip recognition
Y. Wu, L. Kong, M. F. She, R. Chen and X. Sun, "Driver Recognition Based on Dynamic Handgrip Pattern on Steeling Wheel," 2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing(SNPD), Sydney, Australia, 2011, pp. 107-112.