Gesture Control for Use in Automobiles

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 system, to operate a message storage by gestures in an automotive environment. The demonstrator exists as a laboratory setup and as a mobile version in an experimental vehicle. The next section describes the technical requirements and some preliminary considerations. Afterwards, the image acquisition and processing schemes are presented. Then the functionality of the chosen application is explained, before the last section gives a final discussion and outlook.

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