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Analysis of real-world driver’s frustration
http://hdl.handle.net/2237/14601
http://hdl.handle.net/2237/14601b8cf3126-3517-4c65-88a1-66a75e48c8cf
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
1054.pdf (628.6 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2011-04-19 | |||||
| タイトル | ||||||
| タイトル | Analysis of real-world driver’s frustration | |||||
| 言語 | en | |||||
| 著者 |
Malta, Lucas
× Malta, Lucas× Miyajima, Chiyomi× Kitaoka, Norihide× Takeda, Kazuya |
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| 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 | © 2011 IEEE. Reprinted, with permission, from Lucas Malta; Chiyomi Miyajima; Norihide Kitaoka; Kazuya Takeda, Analysis of real-world driver’s frustration, Intelligent Transportation Systems, IEEE Transactions on, Mar/2011 | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | This study investigates a method for estimating a driver’s spontaneous frustration in the real world. In line with a specific definition of emotion, the proposed method integrates information about the environment, the driver’s emotional state, and the driver’s responses in a single model. Driving data are recorded using an instrumented vehicle on which multiple sensors are mounted. While driving, drivers also interact with an automatic speech recognition (ASR) system to retrieve and play music. Using a Bayesian network, we combine knowledge on the driving environment, assessed through data annotation, speech recognition errors, driver’s emotional state (frustration), and driver’s responses measured through facial expressions, physiological condition, and gas- and brake-pedal actuation. Experiments are performed with data from 20 drivers.We discuss the relevance of the proposed model and features of frustration estimation. When all of the available information is used, the overall estimation achieves a true positive rate of 80% and a false positive rate of 9% (i.e., the system correctly estimates 80% of the frustration and, when drivers are not frustrated, makes mistakes 9% of the time). | |||||
| 言語 | en | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 出版タイプ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1109/TITS.2010.2070839 | |||||
| ISSN | ||||||
| 収録物識別子タイプ | PISSN | |||||
| 収録物識別子 | 1524-9050 | |||||
| 書誌情報 |
en : Intelligent Transportation Systems, IEEE Transactions on 巻 12, 号 1, p. 109-118, 発行日 2011-03 |
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| 著者版フラグ | ||||||
| 値 | author | |||||
| URI | ||||||
| 識別子 | http://dx.doi.org/10.1109/TITS.2010.2070839 | |||||
| 識別子タイプ | DOI | |||||
| URI | ||||||
| 識別子 | http://hdl.handle.net/2237/14601 | |||||
| 識別子タイプ | HDL | |||||
