The gesture recognition toolkit

Author(s)
Gillian, Nicholas; Paradiso, Joseph A.
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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.
Date issued
2014-10
URI
http://hdl.handle.net/1721.1/103640
Department
Massachusetts Institute of Technology. Media Laboratory
Journal
Journal of Machine Learning Research
Publisher
MIT Press
Citation
Gillian, Nicholas, and Joseph A. Paradiso. "The gesture recognition toolkit." Journal of Machine Learning Research 15 (2014), pp.3483-3487.
Version: Author's final manuscript
ISSN
1533-7928
1532-4435
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