The Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed to enable the development of gesturebased applications. GART provides an abstraction to machine learning algorithms suitable for modeling and recognizing di® erent types of gestures. The toolkit also provides support for the data collection and the training process. In this paper, we present GART and its machine learning abstractions. Furthermore, we detail the components of the toolkit and present two example gesture recognition applications.

gart_beta_0.3.2.jar
GART_The Gesture and Activity Recognition Toolkit.pdf

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