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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.

Automobile driving -- Data processing -- Congresses. --- Automobiles -- Automatic control -- Congresses. --- Driver assistance systems -- Congresses. --- Electrical & Computer Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Applied Physics --- Electrical Engineering --- Automotive Engineering --- Telecommunications --- Automobile driving --- Automobiles --- Driver assistance systems --- Data processing --- Automatic control --- Automobile operation --- Automobiling --- Driving, Automobile --- Driving --- Engineering. --- User interfaces (Computer systems). --- Automotive engineering. --- Electrical engineering. --- Automotive Engineering. --- Signal, Image and Speech Processing. --- User Interfaces and Human Computer Interaction. --- Communications Engineering, Networks. --- Sociotechnical systems --- Motor vehicle driving --- Electronic equipment --- Computer science. --- Telecommunication. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Communication --- Information theory --- Telecommuting --- Informatics --- Science --- Construction --- Industrial arts --- Technology --- Signal processing. --- Image processing. --- Speech processing systems. --- Electric engineering --- Engineering --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Mass communications --- Computer. Automation --- beeldverwerking --- signal processing --- informatica --- communicatietechnologie --- signaalverwerking