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GPU Accelerated Gesture Detection for Real Time Interaction

Torsten Bierz, Achim Ebert, Jorg Meyer
University of Kaiserslautern, International Research Training Group, P.O. Box 3049, 67653 Kaiserslautern, Germany
Visualization of Large and Unstructured Data Sets 2007, p.64-75

@article{bierz2008gpu,

   title={GPU Accelerated Gesture Detection for Real Time Interaction},

   author={Bierz, T. and Ebert, A. and Meyer, J.},

   journal={Visualization of Large and Unstructured Data Sets 2007},

   pages={64–75},

   year={2008}

}

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Over the past years, the interaction between humans and computers (HCI) evolved to one of the most important research topics in computer science. Therefore, finding a way for an intuitive, easy and affordable interaction is the main challenge. Optical markerless tracking using consumer hardware can satisfy these problems. However, in order to be able to interact in an efficient way, the tracking and furthermore the interaction must be handled in real time. This leads to efficient use of current GPUs in order to speed up the tracking and furthermore the gesture recognition. Involving these issues, an approach for an implementation and system will be presented in the following paper.
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