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  1. B200 工学部/工学研究科
  2. B200a 雑誌掲載論文
  3. 学術雑誌

Biometric identification using driving behavioral signals

http://hdl.handle.net/2237/6800
http://hdl.handle.net/2237/6800
e8212154-bb65-403c-a382-ac8d42e1148f
名前 / ファイル ライセンス アクション
Igarashi_ICME2004_P18242.pdf Igarashi_ICME2004_P18242.pdf (392.8 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2006-08-03
タイトル
タイトル Biometric identification using driving behavioral signals
言語 en
著者 Igarashi, Kei

× Igarashi, Kei

WEKO 13163

en Igarashi, Kei

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Miyajima, Chiyomi

× Miyajima, Chiyomi

WEKO 13164

en Miyajima, Chiyomi

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Itou, Katsunobu

× Itou, Katsunobu

WEKO 13165

en Itou, Katsunobu

Search repository
Takeda, Kazuya

× Takeda, Kazuya

WEKO 13166

en Takeda, Kazuya

Search repository
Itakura, Fumitada

× Itakura, Fumitada

WEKO 13167

en Itakura, Fumitada

Search repository
Abut, Hüseyin

× Abut, Hüseyin

WEKO 13168

en Abut, Hüseyin

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 Copyright © 2004 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
抄録
内容記述 In this paper, we investigate the uniqueness of driver behavior in vehicles and the possibility to use it for personal identification with the objectives to achieve safer driving, to assist the driver in case of emergencies, and to be a part of multi-mode biometric signature for driver identification. We use Gaussian Mixture Models (GMM) for modeling the individualities of the accelerator and brake pedal pressures, and focus on not only the static features, but also the dynamics of the pedal pressures. Experimental results show that the dynamic features significantly improve the performance of driver identification.
言語 en
内容記述タイプ Abstract
出版者
言語 en
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/ICME.2004.1394126
書誌情報 en : Proceedings of the IEEE International Conference on Multimedia and Expo 2004

巻 1, p. 65-68, 発行日 2004-06
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/6800
識別子タイプ HDL
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