mloss | Projects submitted by ngillian.

Gesture Recogition Toolkit 0.1 Revision 289

by ngillian - December 13, 2013, 22:59:53 CET [ ] 22921 views, 5130 downloads, 0 subscriptions

About: The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library that has been specifically designed for real-time gesture recognition. It features a large number of machine-learning algorithms for both classification and regression in addition to a wide range of supporting algorithms for pre-processing, feature extraction and dataset management. The GRT has been designed for real-time gesture recognition, but it can also be applied to more general machine-learning tasks.

Changes:

Added Decision Tree and Random Forests.

Authors: Nicholas Gillian
License: Mit
Programming Language: C++

Operating System: Linux, Windows, Mac Os X
Data Formats: Plain Ascii, Csv
Tags: Classification, Clustering, Support Vector Machines, Dtw, Logistic Regression, Hidden Markov Model, Feature Extraction, Gesture Recognition

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Gesture Recogition Toolkit 0.1 Revision 289