Presentation 2005/1/15
Modeling of Individualities in Driver Behavioral Signals
Koji OZAWA, Toshihiro WAKITA, Chiyomi MIYAJIMA, Katsunobu ITOU, Kazuya TAKEDA,
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Abstract(in English) Driving behavioral signals are expected to be used to improve the safety and convenience while driving. For example, the use of driver's characteristics of the way of controlling vehicle speed, keeping headway distance, and hitting the accelerator pedal will allow us to achieve driver recognition for automatic adaptation of vehicle environments. Drowsy driving detection might also be realized by comparing the driving behavior with that of normal driving. In this work, long-term characteristics of the driver's behavior in the relation between the vehicle speed, the headway distance and the accelerator pedal position, and short-term spectral characteristics of the accelerator pedal position are modeled with Gaussian mixture models. We conduct a driver identification experiment and an 89.6% identification rate is obtained.
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Keyword(in English) Driver's behavioral signal / Driving simulator / Person identification / Gaussian mixture model (GMM) / Cepstral analysis
Paper # HCS2004-40,HIP2004-85
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Committee HIP
Conference Date 2005/1/15(1days)
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Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling of Individualities in Driver Behavioral Signals
Sub Title (in English)
Keyword(1) Driver's behavioral signal
Keyword(2) Driving simulator
Keyword(3) Person identification
Keyword(4) Gaussian mixture model (GMM)
Keyword(5) Cepstral analysis
1st Author's Name Koji OZAWA
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Toshihiro WAKITA
2nd Author's Affiliation Graduate School of Information Science, Nagoya University:Toyota Central R&D Labs
3rd Author's Name Chiyomi MIYAJIMA
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
4th Author's Name Katsunobu ITOU
4th Author's Affiliation Graduate School of Information Science, Nagoya University
5th Author's Name Kazuya TAKEDA
5th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2005/1/15
Paper # HCS2004-40,HIP2004-85
Volume (vol) vol.104
Number (no) 582
Page pp.pp.-
#Pages 6
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