Digital Signal Processing Reference
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pressure readings from the accelerator and brake pedals under various
driving conditions. At first, an answer to the question in the title of this paper
will investigated:
Is our driving behavior unique?
Or equivalently,
Can we use signals obtained from our driving behavior as feature sets in
personal identification?
Subsequently, we would like to address the issue of utilization of these
behavioral signals for identifying driver behavior with objectives of safer
driving, intelligent assistance for road emergencies, and robust
communications. Eventually, we hope to develop personal identification with
high accuracy and robustness within the framework of a multi-mode e-
transaction in cars.
2.
IN-CAR DATA COLLECTION
As part of an on-going study on collection and analysis of in-car spoken
dialog corpus, 800 drivers have driven a specially equipped vehicle in
Nagoya, Japan between 1999 and 2001. Recorded data specifications are
listed in Table 17-1, which consists of twelve channels of dialog speech,
three channels of video from different angles, the accelerator pedal pressure
and brake pedal pressure readings, the vehicle speed in km/h, the engine
speed in rpm and the steering angle in degrees. In addition, the location of
the vehicle has been recorded every second by a differential GPS device
mounted in the vehicle. Detailed information on this corpus study can be
found in Chapter 1 and in [14, 16]. In this work, we have utilized only three
out of a total of five different vehicle control signals, namely, the accelerator
pedal pressure, brake pedal pressure and the vehicle speed in kilometers per
hour (km/h). The pressure readings were sampled at 1.0 KHz.
