Presentation 2008-12-10
Driver's irritation detection using speech recogntion results
Lucas Malta, Chiyomi Miyajima, Akira Ozaki, Norihide Kitaoka, Kazuya Takeda,
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Abstract(in English) In this work we present our efforts towards the multi-modal estimation of a driver's affective state under naturalistic conditions. Multi-modal data from 18 subjects (2.3h) who interacted with an automatic speech recognition system while driving are recorded. A transcription protocol is designed to provide a meaningful description of the driving environment. A data fusion model based on Bayesian network is proposed and used for estimating a driver's level of irritation. Information on transcription labels, physiological signals, driving behavior and speech recognition are integrated. Preliminary results are very encouraging.
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Paper # NLC2008-65,SP2008-120
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Committee NLC
Conference Date 2008/12/2(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language ENG
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Title (in English) Driver's irritation detection using speech recogntion results
Sub Title (in English)
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1st Author's Name Lucas Malta
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Chiyomi Miyajima
2nd Author's Affiliation Graduate School of Information Science, Nagoya University
3rd Author's Name Akira Ozaki
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
4th Author's Name Norihide Kitaoka
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 2008-12-10
Paper # NLC2008-65,SP2008-120
Volume (vol) vol.108
Number (no) 337
Page pp.pp.-
#Pages 4
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