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.