Digital Signal Processing Reference
In-Depth Information
Chapter 17
IS OUR DRIVING BEHAVIOR UNIQUE?
Kei Igarashi
1
, Kazuya Takeda
1
, Fumitada Itakura
1
, and Hüseyin Abut
2
1
Center for Integrated Acoustic Information Research (CIAIR), Nagoya University, Furo-cho,
Chikusa-ku, Nagoya 464-8601, JAPAN, http://www.ciair.coe.nagoya-u.ac.jp;
2
ITC, Nagoya
University, Japan, Sabanci University, Istanbul, Turkey and ECE Department, San Diego
State University San Diego, CA 92182, Email: abut@akhisar.sdsu.edu
Abstract:
In this chapter, uniqueness of driver behavior in vehicles and the possibility to
use in personal identification has been investigated with the objectives to
achieve safer driving, to assist the driver in case of emergencies, and to be part
of a multi-mode biometric signature for driver identification. Towards that
end, the distributions and the spectra of pressure readings from the accelerator
and brake pedals of drivers are measured. We have attempted to use the linear
combination of these pedal pressure signals as the feature set. Preliminary
results indicate that drivers apply pressure to pedals differently. Are they
distinctly unique to be used an independent biometric to identify the
individual? Even though our findings at this time are not conclusive, additional
features, time-series analysis of the collected data and/or integration these
features with audio and video inputs are being investigated.
Keywords:
Driving Behavior, biometric signatures, break pedal pressure, acceleration,
acceleration pedal pressure, steering wheel angle, data collection vehicle,
linear prediction, multi-mode sensors, and Gaussian mixture model.
1.
INTRODUCTION
Automated biometric identification is a multidisciplinary scientific field
to determine the identity individuals from a set of features based on who they
are, what do they posses and how they behave. A number of biometrics has
been evaluated in trust building for numerous civic and business transactions,
