This tutorial provides a general overview of the GRT, describing the common steps required to use the GRT to create your own custom gesture-recognition system.
A very simple example that shows you how to create a gesture-recognition pipeline, train the pipeline and test it.
This is a basic example that demonstrates some of the foundations of machine learning using the Iris dataset.
This tutorial demonstrates one of the key features of the GRT, automatically detecting a gesture from a continuous stream of data that may also contain movements that are not gestures.
This tutorial provides a high level description of the various GRT classifiers.
This tutorial provides a very basic classifier example using Openframeworks.
This tutorial provides a very basic regressifier example (using an Artificial Neural Network) using Openframeworks.
This tutorial provides a simple example of how to use Openframeworks, the GRT, and a Kinect to recognize basic gestures.
GRT GUI Tutorials
This tutorial shows how to use the GRT GUI with Processing.