Gesture Control for Use in Automobiles

Abstract

Gesture interfaces are gaining relevance for human-machine communication, since it is expected that they make interaction more intuitive. Particularly vision based approaches are widely preferred. This paper describes a novel vision based real-time gesture recognition system, designed for operating in an automotive environment. It is used within an application for retrieving traffic news and e-mails from a message storage. Image processing and pattern matching techniques, specially adapted to the complex environmental conditions, represent the systems basics. more comfortable natural input. Hence we prototypically developed a vision based real-time recognition