In this paper, we propose an automatic system that recognizes both isolated and continuous gestures for Arabic numbers (0-9) in real-time based on Hidden Markov Model (HMM). To ha...
Although large displays could allow several users to work together and to move freely in a room, their associated interfaces are limited to contact devices that must generally be s...
In this paper we present Thracker – a low-cost and robust hardware to track hand gestures in front of a screen or small-scale active spaces like public displays or posters. Thra...
Raphael Wimmer, Paul Holleis, Matthias Kranz, Albr...
We present a system capable of visually detecting pointing gestures and estimating the 3D pointing direction in real-time. We use Hidden Markov Models (HMMs) trained on different ...
Gesture recognition is a difficult task in computer vision due to the numerous degrees of freedom of a human hand. Fortunately, human gesture covers only a small part of the theor...
Axel Saalbach, Gunther Heidemann, Holger Bekel, In...