2014
JMLR
JMLR 2014
The Gesture Recognition Toolkit
Abstract
The Gesture Recognition Toolkit is a cross-platform open-source C++ library designed to make real-time machine learning and gesture recognition more accessible for non-specialists. Emphasis is placed on ease of use, with a consistent, minimalist design that promotes accessibility while supporting flexibility and customization for advanced users. The toolkit features a broad range of classification and regression algorithms and has extensive support for building real-time systems. This includes algorithms for signal processing, feature extraction and automatic gesture spotting. [abs] [ pdf ][ bib ] [ code ] © JMLR 2014. (edit, beta)
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Interdisciplinary Bridge
- Artificial Intelligence and Computer Vision
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Hot Topic Early Bird
- signal processing