Sciweavers

ETFA
2008
IEEE
13 years 11 months ago
Gesture recognition using evolution strategy neural network
A new approach to interact with an industrial robot using hand gestures is presented. System proposed here can learn a first time user’s hand gestures rapidly. This improves pro...
Johan Hägg, Baran Çürükl&uum...
APCHI
2008
IEEE
13 years 11 months ago
Double-Crossing: A New Interaction Technique for Hand Gesture Interfaces
We propose double-crossing, a technique for interacting with large displays using hand gestures. This technique extends crossing, which was developed for a pen-based interface, and...
Takashi Nakamura, Shin Takahashi, Jiro Tanaka
MHCI
2009
Springer
13 years 11 months ago
Hoverflow: exploring around-device interaction with IR distance sensors
By equipping a mobile device with distance sensing capabilities, we aim to expand the interaction possibilities of mobile and wearable devices beyond the confines of the physical ...
Sven G. Kratz, Michael Rohs
MHCI
2009
Springer
13 years 11 months ago
HoverFlow: expanding the design space of around-device interaction
In this paper we explore the design space of around-device interaction (ADI). This approach seeks to expand the interaction possibilities of mobile and wearable devices beyond the...
Sven G. Kratz, Michael Rohs
ICIP
2003
IEEE
14 years 6 months ago
Gesture recognition using position and appearance features
In this paper a scheme for recognizing hand gestures is presented using the output of a Condensation tracker. The tracker is used to obtain a set of features. These features consi...
Tushar Agrawal, Subhasis Chaudhuri
ICCV
2003
IEEE
14 years 6 months ago
3D Tracking = Classification + Interpolation
Hand gestures are examples of fast and complex motions. Computers fail to track these in fast video, but sleight of hand fools humans as well: what happens too quickly we just can...
Carlo Tomasi, Slav Petrov, Arvind Sastry
CVPR
2007
IEEE
14 years 6 months ago
Incorporating On-demand Stereo for Real Time Recognition
A new method for localising and recognising hand poses and objects in real-time is presented. This problem is important in vision-driven applications where it is natural for a use...
Thomas Deselaers, Antonio Criminisi, John M. Winn,...