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In-Vehicle Corpus and Signal Processing for Driver Behavior (Hardcover, 2009 ed.) Loot Price: R4,370
Discovery Miles 43 700
In-Vehicle Corpus and Signal Processing for Driver Behavior (Hardcover, 2009 ed.): Kazuya Takeda, Hakan Erdogan, John Hansen, H...

In-Vehicle Corpus and Signal Processing for Driver Behavior (Hardcover, 2009 ed.)

Kazuya Takeda, Hakan Erdogan, John Hansen, H useyin Abut

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Loot Price R4,370 Discovery Miles 43 700 | Repayment Terms: R410 pm x 12*

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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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Release date: December 2008
First published: 2009
Editors: Kazuya Takeda • Hakan Erdogan • John Hansen • H useyin Abut
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Hardcover
Pages: 286
Edition: 2009 ed.
ISBN-13: 978-0-387-79581-2
Categories: Books > Computing & IT > Applications of computing > Signal processing
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Professional & Technical > Transport technology > Automotive technology > General
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LSN: 0-387-79581-2
Barcode: 9780387795812

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