In-Vehicle Corpus and Signal Processing for Driver Behavior
| Autor Corporativo: | |
|---|---|
| Otros Autores: | , , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2009.
|
| Edición: | 1st ed. 2009. |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-0-387-79582-9 |
Tabla de Contenidos:
- 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 from 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.