With powerful graphics hardware becoming affordable for everyone, there is an increasing tendency towards a new generation of user interfaces, with the focus shifting from traditional two-dimensional desktops to three-dimensional virtual environments. Therefore, there is a growing need for applicable immersive interaction metaphors to manipulate these environments. In our paper we propose a gesture recognition engine using an inexpensive data glove with integrated 6 DOF tracking. Despite of noisy input data from the glove, we are able to achieve reliable and flexible gesture recognition. New gestures can be trained easily and existing gestures can be individually adapted for different users.