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Please use this identifier to cite or link to this item: http://hdl.handle.net/2237/13904

Title: A multimedia corpus of driving behaviors
Authors: Malta, Lucas
Ozaki, Akira
Miyajima, Chiyomi
Kitaoka, Norihide
Takeda, Kazuya
Issue Date: 5-Oct-2009
Publisher: IEEE
Citation: IEEE International Workshop on Multimedia Signal Processing (MMSP '09). 2009, p.1-6
Abstract: In this paper we present our multimedia corpus of real-world driving data (NUDrive), built with the primary objective of firming foundations for applying digital signal processing technologies in the vehicular environment. NUDrive is a content rich corpus composed of driving, speech, video, and physiological signals. So far, we have collected data from 250 drivers, who drove an instrumented vehicle under very similar conditions. In order to provide a more meaningful description of the situations drivers experience, a comprehensive data annotation protocol is proposed. We also briefly present a multimedia processing system, which uses information from various sources in NUDrive to implement a context-dependent estimation of a driver's spontaneous frustration. Results are encouraging and stress the relevance of content rich driving corpora to driver behavior modeling.
URI: http://hdl.handle.net/2237/13904
ISBN: 978-1-4244-4463-2
Rights: ©2009 IEEE. 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 to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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