The gesture recognition toolkit
Name
Paradiso_The gesture.pdf
Size
181.4 KB
Format
Adobe PDF
Checksum (MD5)
78716fe5fbc88438642bee4944e5352c
Author(s)
Gillian, Nicholas
Paradiso, Joseph A.
Date Issued
October 2014
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
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.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
http://jmlr.org/papers/v15/gillian14a.html
