Feature Representations for the Recognition of 3D Emblematic Gestures

Abstract

Abstract. 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.