Summary
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Driver Identification Using Driving Behavior Signals Toshihiro WAKITA Koji OZAWA Chiyomi MIYAJIMA Kei IGARASHI Katunobu ITOU Kazuya TAKEDA Fumitada ITAKURA Publication IEICE TRANSACTIONS on Information and Systems Vol.E89-D No.3 pp.1188-1194 Publication Date: 2006/03/01 Online ISSN: 1745-1361 DOI: 10.1093/ietisy/e89-d.3.1188 Print ISSN: 0916-8532 Type of Manuscript: PAPER Category: Human-computer Interaction Keyword: driving behavior, signal processing, pattern recognition, biometrics, Full Text: PDF(373.6KB)>>
Summary: In this paper, we propose a driver identification method that is based on the driving behavior signals that are observed while the driver is following another vehicle. Driving behavior signals, such as the use of the accelerator pedal, brake pedal, vehicle velocity, and distance from the vehicle in front, were measured using a driving simulator. We compared the identification rate obtained using different identification models. As a result, we found the Gaussian Mixture Model to be superior to the Helly model and the optimal velocity model. Also, the driver's operation signals were found to be better than road environment signals and car behavior signals for the Gaussian Mixture Model. The identification rate for thirty driver using actual vehicle driving in a city area was 73%. | ||||||||||
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