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In-vehicle corpus and signal processing for driver behavior

Author: Kazuya Takeda
Publisher: New York ; London : Springer, 2009.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
Summary:

This book features expanded papers from the third biennial DSPinCARS. Topics covered include: improved vehicle safety, safe driver assistance systems, wireless LAN-based vehicular location  Read more...

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Genre/Form: Congresses
Material Type: Conference publication, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Kazuya Takeda
ISBN: 9780387795812 0387795812
OCLC Number: 233934992
Notes: Papers from the "Third Biennial Workshop on DSP (digital signal processing) for Mobile and Vehicular Systems", 2007, Istanbul, Turkey.
Description: xv, 247 pages : illustrations ; 24 cm
Contents: Improved vehicle safety and how technology will get us there, hopefully --
New concepts on safe driver-assistance systems --
Real-world data collection with "UYANIK" --
On-going data collection of driving behavior signals --
UTDrive: the smart vehicle project --
Wireless lan-based vehicular location information processing --
Perceptually optimized packet scheduling for robust real-time intervehicle video communications --
Machine learning systems for detecting driver drowsiness --
Extraction of pedestrian regions using histogram and locally estimated feature distribution --
EEG emotion recognition system --
Three-dimensional ultrasound imaging in air for parking and pedestrian protection --
A new method for evaluating mental work load in n-back tasks --
Estimation of acoustic microphone vocal tract parameters from throat microphone recordings --
Cross-probability model based on gmm for feature vector normalization --
Robust feature combination for speech recognition using linear microphone array in a car --
Prediction of driving actions form driving signals --
Design of audio-visual interface for aiding driver's voice commands in automotive environment --
Estimation of high-variance vehicular noise --
Feature compensation employing model combination for robust in-vehicle speech recognition.
Responsibility: edited by Kazuya Takeda [and others].

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