This paper presents a method of image processing used in a mono-vision system in order to study semiotic gestures. We present a robust method to track the hands and face of a perso...
Abstract. This work aims to recognize signs which have both manual and nonmanual components by providing a sequential belief-based fusion mechanism. We propose a methodology based ...
Oya Aran, Thomas Burger, Alice Caplier, Lale Akaru...
In this paper, we present a Vision-Based Interface guided by the user gestures. The advantage of our system is that it is built over a motion capture system that recovers the body ...
This paper presents the development of methods for gesture control of sound spatialization. It provides a comparison of seven popular software spatialization systems from a control...
Mark T. Marshall, Joseph Malloch, Marcelo M. Wande...
Large displays are highly suited to support discussions in empirical science. Such displays can display project results on a large digital surface to feed the discussion. This pape...
Wim Fikkert, Paul E. van der Vet, Han Rauwerda, Ti...
Abstract. For a Reactive Virtual Trainer(RVT), subtle timing and lifelikeness of motion is of primary importance. To allow for reactivity, movement adaptation, like a change of tem...
Abstract. In automatic sign language translation, one of the main problems is the usage of spatial information in sign language and its proper representation and translation, e.g. ...
We present a method for recognizing gesture motions based on elastic deformable shapes and curvature templates. Gestures are modeled using a spline curve representation that is enh...
Radu-Daniel Vatavu, Laurent Grisoni, Stefan Gheorg...
In this paper, we present a person independent 3D system for judging the correctness of a sign. The system is camera-based, using computer vision techniques to track the hand and e...
Jeroen Lichtenauer, Gineke A. ten Holt, Marcel J. ...