Overview
- Comprised of the best papers of DSPinCARS 2007
- Presents the latest advances in in-vehicle technology
- Includes supplementary material: sn.pub/extras
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Table of contents (19 chapters)
Keywords
About this book
In-Vehicle Corpus and Signal Processing for Driver Behavior is comprised of expanded papers from the third biennial DSPinCARS held in Istanbul in June 2007. The goal is to bring together scholars working on the latest techniques, standards, and emerging deployment on this central field of living at the age of wireless communications, smart vehicles, and human-machine-assisted safer and comfortable driving. Topics covered in this book include: improved vehicle safety; safe driver assistance systems; smart vehicles; wireless LAN-based vehicular location information processing; EEG emotion recognition systems; and new methods for predicting driving actions using driving signals.
In-Vehicle Corpus and Signal Processing for Driver Behavior is appropriate for researchers, engineers, and professionals working in signal processing technologies, next generation vehicle design, and networks for mobile platforms.
Editors and Affiliations
Bibliographic Information
Book Title: In-Vehicle Corpus and Signal Processing for Driver Behavior
Editors: Kazuya Takeda, John H. L. Hansen, Hakan Erdoğan, Hüseyin Abut
DOI: https://doi.org/10.1007/978-0-387-79582-9
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-0-387-79581-2Published: 04 December 2008
Softcover ISBN: 978-1-4419-4640-9Published: 05 November 2010
eBook ISBN: 978-0-387-79582-9Published: 29 June 2009
Edition Number: 1
Number of Pages: XIV, 286
Number of Illustrations: 125 b/w illustrations
Topics: Automotive Engineering, Signal, Image and Speech Processing, User Interfaces and Human Computer Interaction, Communications Engineering, Networks