In-Vehicle Corpus and Signal Processing for Driver Behavior (E-Book0 [Elektronisk resurs] / edited by Kazuya Takeda, John H. L. Hansen, Hakan Erdogan, H�seyin Abut.

By: Takeda, KazuyaContributor(s): Abut, H�seyin | Erdogan, Hakan | Hansen, John H. L | SpringerLink (Online service)Publisher: Boston, MA : Springer US, 2009ISBN: 978-0-387-79582-9Subject(s): Communications Engineering, Networks | Computer science | Engineering | Engineering | Signal, Image and Speech Processing | Telecommunication | User Interfaces and Human Computer Interaction | E-BookOnline resources: Click here to access online | Click here to access online | Click here to access online | Click here to access online | Click here to access online | Click here to access online | Click here to access online | Click here to access online | Click here to access online | Click here to access online
Contents:
Improved Vehicle Safety and How Technology Will Get Us There, Hopefully 1 New Concepts on Safe Driver-Assistance Systems 9 Real-World Data Collection with ‘‘UYANIK’’ 23 On-Going Data Collection of Driving Behavior Signals 45 UTDrive: The Smart Vehicle Project 55 Wireless Lan-Based Vehicular Location Information Processing 69 Perceptually Optimized Packet Scheduling for Robust Real-Time Intervehicle Video Communications 83 Machine Learning Systems for Detecting Driver Drowsiness. . . . . . . 97 Extraction of Pedestrian Regions Using Histogram and Locally Estimated Feature Distribution 111 EEG Emotion Recognition System125 Three-Dimensional Ultrasound Imaging in Air for Parking and Pedestrian Protection 137 A New Method for Evaluating Mental Work Load In n-Back Task 149 Estimation of Acoustic Microphone Vocal Tract Parameters from Throat Microphone Recordings 161 Cross-Probability Model Based on Gmm for Feature Vector Normalization 171 Robust Feature Combination for Speech Recognition Using Linear Microphone Array in a Car 187 Prediction of Driving Actions from Driving Signals 197 Design of Audio-Visual Interface for Aiding Driver’s Voice Commands in Automotive Environment 211 Estimation of High-Variance Vehicular Noise 221 Feature Compensation Employing Model Combination for Robust In-Vehicle Speech Recognition 233
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Item type Current location Home library Collection Call number URL Status Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
NFIC Link to resource Available MCSEB-2466
Total holds: 0

Improved Vehicle Safety and How Technology Will Get Us There, Hopefully 1 New Concepts on Safe Driver-Assistance Systems 9 Real-World Data Collection with ‘‘UYANIK’’ 23 On-Going Data Collection of Driving Behavior Signals 45 UTDrive: The Smart Vehicle Project 55 Wireless Lan-Based Vehicular Location Information Processing 69 Perceptually Optimized Packet Scheduling for Robust Real-Time Intervehicle Video Communications 83 Machine Learning Systems for Detecting Driver Drowsiness. . . . . . . 97 Extraction of Pedestrian Regions Using Histogram and Locally Estimated Feature Distribution 111 EEG Emotion Recognition System125 Three-Dimensional Ultrasound Imaging in Air for Parking and Pedestrian Protection 137 A New Method for Evaluating Mental Work Load In n-Back Task 149 Estimation of Acoustic Microphone Vocal Tract Parameters from Throat Microphone Recordings 161 Cross-Probability Model Based on Gmm for Feature Vector Normalization 171 Robust Feature Combination for Speech Recognition Using Linear Microphone Array in a Car 187 Prediction of Driving Actions from Driving Signals 197 Design of Audio-Visual Interface for Aiding Driver’s Voice Commands in Automotive Environment 211 Estimation of High-Variance Vehicular Noise 221 Feature Compensation Employing Model Combination for Robust In-Vehicle Speech Recognition 233

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