TU Dortmund → Department of Computer Science → LS XII → Pattern Recognition Group → Publications → Publication Details
J. Richarz and G. A. Fink Proc. Int. Workshop on Human Behavior Understanding, in conjunction with 20th Int. Conf. on Pattern Recognition, 2010.
In human-machine interaction, gestures play an important role as input modality for natural and intuitive interfaces. The class of gestures often called ``emblems'' is of special interest since they convey a well-defined meaning in an intuitive way. We present an approach for the visual recognition of 3D dynamic emblematic gestures in a smart room scenario using a HMM-based recognition framework. In particular, we assess the suitability of several feature representations calculated from a gesture trajectory in a detailed experimental evaluation on realistic data.