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MODELING OF INDIVIDUALITIES IN DRIVING THROUGH SPECTRAL ANALYSIS OF BEHAVIORAL SIGNALS
http://hdl.handle.net/2237/10456
http://hdl.handle.net/2237/1045622cc3678-c5c9-4dba-9e63-df0d8305df8d
名前 / ファイル | ライセンス | アクション |
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p45-48_Modeling_of_Individualities.pdf (15.4 MB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2008-08-26 | |||||
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タイトル | MODELING OF INDIVIDUALITIES IN DRIVING THROUGH SPECTRAL ANALYSIS OF BEHAVIORAL SIGNALS | |||||
言語 | en | |||||
著者 |
Ozawa, Koji
× Ozawa, Koji× Wakita, Toshihiro× Miyajima, Chiyomi× Itou, Katsunobu× Takeda, Kazuya |
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アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
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内容記述タイプ | Abstract | |||||
内容記述 | Driving behavior modeling using such driving signals as velocity, following distance, and gas or brake pedal operations, has been investigated for accident prevention and vehicle design. Driving behaviors are different among drivers, and research on driver modeling has also been carried out from different points of view in cognitive and engineering approaches. In this paper, driver's characteristics in driving behaviors are modeled with a Gaussian mixture model(GMM) using "cepstral features" obtained through spectral analysis of gas pedal operation signals. The GMM driver model based on cepstral features in evaluated in driver identification experiments and compared with a conventional GMM driver model that uses raw driving signals without spectral analysis. Experimental results show that the proposed driver model achieves an 89.6% driver identification rate, resulting in 61% error reduction over the conventional driver model. | |||||
言語 | en | |||||
出版者 | ||||||
出版者 | INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE | |||||
言語 | en | |||||
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言語 | eng | |||||
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資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
資源タイプ | conference paper | |||||
書誌情報 |
en : Third Symposium on "Intelligent Media Integration for Social Information Infrastructure" December 6, 2005 p. 45-48, 発行日 2005-12 |
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値 | application/pdf | |||||
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値 | publisher | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/10456 | |||||
識別子タイプ | HDL |