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In-Vehicle Corpus and Signal Processing for Driver Behavior

  • Book
  • © 2009

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

  • Department of Media Science, Nagoya University, Nagoya, Japan

    Kazuya Takeda

  • Center for Robust Speech Systems (CRSS), Department of Electrical Engineering, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, Richardson, USA

    John H. L. Hansen

  • Sabanci University, Istanbul, Turkey

    Hakan Erdoğan, Hüseyin Abut

  • San Diego State University (Emeritus), San Diego, USA

    Hüseyin Abut

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