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.
Cite
Text
Gillian and Paradiso. "The Gesture Recognition Toolkit." Machine Learning Open Source Software, 2014.Markdown
[Gillian and Paradiso. "The Gesture Recognition Toolkit." Machine Learning Open Source Software, 2014.](https://mlanthology.org/mloss/2014/gillian2014jmlr-gesture/)BibTeX
@article{gillian2014jmlr-gesture,
title = {{The Gesture Recognition Toolkit}},
author = {Gillian, Nicholas and Paradiso, Joseph A.},
journal = {Machine Learning Open Source Software},
year = {2014},
pages = {3483-3487},
volume = {15},
url = {https://mlanthology.org/mloss/2014/gillian2014jmlr-gesture/}
}