Curve similarity measurement algorithms for automatic gesture detection systems

In the previous years there has been a lot of research done in the field of Computer Vision and its application in Natural Interaction. Based on the fact that communication using gestures is one of the primary methods of communication between people, this discipline has seen a lot of advancement. In this paper we present a comparative study of curve representation and similarity measurement algorithms with the purpose of using them for gesture detection and interpretation. Of special interest are algorithms that will be able to detect and track different types of gestures. Therefore, a thorough discussion of gesture classification has been an important part of this research.