โ Scribed by Bruce Magladry (auth.), Kazuya Takeda, John H. L. Hansen, Hakan Erdoฤan, Hรผseyin Abut (eds.)
No coin nor oath required. For personal study only.
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.
Front Matter....Pages i-xv
Improved Vehicle Safety and How Technology Will Get Us There, Hopefully....Pages 1-8
New Concepts on Safe Driver-Assistance Systems....Pages 9-22
Real-World Data Collection with โUYANIKโ....Pages 23-43
On-Going Data Collection of Driving Behavior Signals....Pages 45-54
UTDrive: The Smart Vehicle Project....Pages 55-67
Wireless Lan-Based Vehicular Location Information Processing....Pages 69-82
Perceptually Optimized Packet Scheduling for Robust Real-Time Intervehicle Video Communications....Pages 83-96
Machine Learning Systems for Detecting Driver Drowsiness....Pages 97-110
Extraction of Pedestrian Regions Using Histogram and Locally Estimated Feature Distribution....Pages 111-124
EEG Emotion Recognition System....Pages 125-135
Three-Dimensional Ultrasound Imaging in Air for Parking and Pedestrian Protection....Pages 137-147
A New Method for Evaluating Mental Work Load In n -Back Tasks....Pages 149-159
Estimation of Acoustic Microphone Vocal Tract Parameters from Throat Microphone Recordings....Pages 161-169
Cross-Probability Model Based on Gmm for Feature Vector Normalization....Pages 171-185
Robust Feature Combination for Speech Recognition Using Linear Microphone Array in a Car....Pages 187-196
Prediction of Driving Actions from Driving Signals....Pages 197-210
Design of Audio-Visual Interface for Aiding Driverโs Voice Commands in Automotive Environment....Pages 211-219
Estimation of High-Variance Vehicular Noise....Pages 221-232
Feature Compensation Employing Model Combination for Robust In-Vehicle Speech Recognition....Pages 233-243
Back Matter....Pages 245-247
Signal, Image and Speech Processing; User Interfaces and Human Computer Interaction; Communications Engineering, Networks
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