ISVC
2010
Springer
14 years 23 days ago
2010
Springer
In this paper, we propose an automatic learning method for gesture recognition. We combine two different pattern recognition techniques: the SelfOrganizing Map (SOM) and Support Ve...
IVC
2002
14 years 2 months ago
2002
In this paper, we consider a vision-based system that can interpret a user's gestures in real time to manipulate windows and objects within a graphical user interface. A hand...
IVC
2007
14 years 2 months ago
2007
In this paper, we present an approach for recognizing pointing gestures in the context of human–robot interaction. In order to obtain input features for gesture recognition, we ...
CORR
2010
Springer
14 years 2 months ago
2010
Springer
This paper proposes a controlled experiment to further investigate the usefulness of gaze awareness and gesture recognition in the support of collaborative work at a distance. We ...
DAGSTUHL
2000
14 years 3 months ago
2000
This paper introduces our one-armed stationary humanoid robot GripSee together with research projects carried out on this platform. The major goal is to have it analyze a table sce...
USENIX
2003
14 years 3 months ago
2003
Gesture recognition is a common method of text input on handheld and other pen-based computing devices. Xstroke is a full-screen gesture recognition program for the X Window Syste...
WSCG
2004
14 years 3 months ago
2004
This paper describes a Mixed Reality-supported interactive museum exhibit. Using an easy and intuitive pointing gesture recognition system, the museum visitor is able to create hi...
HCI
2007
14 years 3 months ago
2007
This contribution presents our approach for an instrumented automatic gesture recognition system for use in Augmented Reality, which is able to differentiate static and dynamic ges...
AMDO
2008
Springer
14 years 4 months ago
2008
Springer
Abstract. This paper describes our ongoing research work on deviceless interaction using hand gesture recognition with a calibrated stereo system. Video-based interaction is one of...
FLAIRS
2008
14 years 4 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...