In-vehicle corpus and signal processing for driver behavior

Corpus and Signal Processing for Driver Behavior is comprised of expanded papers from the third biennial DSPinCARS held in Istanbul in June 2007. The conference was organized 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. Comprised of the best papers of DSPinCARS 2007 Presents the latest advances in in-vehicle technology INDICE: From the contents Improved Vehicle Safety and How Technology Will Get Us There, Hopefully.- New Concepts of Safe Driver Assistance Systems.- Database of Driving Behavior Measured with Equipped Vehicles in the the real World Environment.- Data Collection with ‘UYANIK’ Too Much Pain; But gains are Coming.- On-going data collection for driving behavior signals.- UTDrive: The Smart Vehicle.- Wireless LAN based Vehicular Location Information Processing.- Perceptually-Optimized Packet Scheduling for Real-Time 802.11 Video Communications Between Vehicles.- Machine Learning Systems for Detecting Driver Drowsiness.- Extraction of Pedestrian Regions Using Histogram and Locally Estimated Feature Distributions.- EEG Emotion Recognition System.- A comparison of beamforming algorithms for 3D-Ultrasound Imaging in Air.- New Method for Evaluating Mental Work Load in n-back Tasks.- Estimation of Acoustic Microphone Vocal Track Parameters from Throat Microphone Recordings.

• ISBN: 978-0-387-79581-2
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 370
• Fecha Publicación: 01/11/2008
• Nº Volúmenes: 1
• Idioma: Inglés