GART: The Gesture and Activity Recognition Toolkit

The Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed to enable the development of gestureplications. GART provides an abstraction to machine learning algorithms suitable for modeling and recognizing different 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 abstractions. Furthermore, we detail the components of the toolkit and present two example gesture recognition applications.

• Type: Conference
• Year: 2007
• Where: HCI
• Authors: Kent Lyons, Helene Brashear, Tracy L. Westeyn, Jung Soo Kim, Thad Starner
• Keywords: Example Gesture Recognition, HCI 2007, Human Computer Interaction, Machine Learning Algorithms, User Interface Toolkit