Support Vector Machine for Behavior-Based Driver Identification System
Joint Authors
Qian, Huihuan
Meng, Xiaoning
Ou, Yongsheng
Xu, Yangsheng
Wu, Xinyu
Source
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-05-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We present an intelligent driver identification system to handle vehicle theft based on modeling dynamic human behaviors.
We propose to recognize illegitimate drivers through their driving behaviors.
Since human driving behaviors belong to a dynamic biometrical feature which is complex and difficult to imitate compared with static features such as passwords and fingerprints, we find that this novel idea of utilizing human dynamic features for enhanced security application is more effective.
In this paper, we first describe our experimental platform for collecting and modeling human driving behaviors.
Then we compare fast Fourier transform (FFT), principal component analysis (PCA), and independent component analysis (ICA) for data preprocessing.
Using machine learning method of support vector machine (SVM), we derive the individual driving behavior model and we then demonstrate the procedure for recognizing different drivers by analyzing the corresponding models.
The experimental results of learning algorithms and evaluation are described.
American Psychological Association (APA)
Qian, Huihuan& Ou, Yongsheng& Wu, Xinyu& Meng, Xiaoning& Xu, Yangsheng. 2010. Support Vector Machine for Behavior-Based Driver Identification System. Journal of Robotics،Vol. 2010, no. 2010, pp.1-11.
https://search.emarefa.net/detail/BIM-468963
Modern Language Association (MLA)
Qian, Huihuan…[et al.]. Support Vector Machine for Behavior-Based Driver Identification System. Journal of Robotics No. 2010 (2010), pp.1-11.
https://search.emarefa.net/detail/BIM-468963
American Medical Association (AMA)
Qian, Huihuan& Ou, Yongsheng& Wu, Xinyu& Meng, Xiaoning& Xu, Yangsheng. Support Vector Machine for Behavior-Based Driver Identification System. Journal of Robotics. 2010. Vol. 2010, no. 2010, pp.1-11.
https://search.emarefa.net/detail/BIM-468963
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-468963