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. In addition to a comprehensive C++ API, the GRT now also includes an easy-to-use graphical user interface (GUI) which enables user s to stream real-time data into the GUI via the Open Sound Control network protocol. Using the GUI you can: (1) Setup and configure a gesture recognition pipeline that can be used for classification, regression, or timeseries analysis. (2) Stream real-time data into the GUI via Open Sound Control (OSC) another application (such as Processing, Max, Pure Data, Openfr a meworks, etc.). (3) Record, label, save and load your training data. (4) Train a model for classification or regression. (5) Test the generalization abilities of the model (using another test dataset or cross validation). (6) Perform real-time prediction on new data streamed into the GUI via OSC. (7) Stre

GRT_V0.1_17_Windows
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