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.
- Boston, MA : Springer US, 2009.
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
978-0-387-79582-9
10.1007/978-0-387-79582-9
Communications Engineering, Networks. Computer science. Engineering. Engineering. Signal, Image and Speech Processing. Telecommunication. User Interfaces and Human Computer Interaction.