The use of gestures in automotive environments provides an intuitive addition to existing interaction styles for seamlessly controlling various infotainment applications like radio- tuner, cd-player and telephone. In this work, we describe a robust, context-specific approach for a video-based analysis of dynamic hand- and head gestures. The system, implemented in a BMW limousine, evaluates a continuous stream of infrared pictures using a combination of adapted preprocessing methods and a hierarchical, mainly rule based classification scheme. Currently, 17 different hand gestures and six different head gestures can be recognized in realtime on standard hardware. As a key-feature of the system, the active gesture vocabulary can be reduced with regard to the current operating context yielding more robust performance.     «

The use of gestures in automotive environments provides an intuitive addition to existing interaction styles for seamlessly controlling various infotainment applications like radio- tuner, cd-player and telephone. In this work, we describe a robust, context-specific approach for a video-based analysis of dynamic hand- and head gestures. The system, implemented in a BMW limousine, evaluates a continuous stream of infrared pictures using a combination of adapted preprocessing methods and a...     »