Chapter

Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments

Volume 4552 of the series Lecture Notes in Computer Science pp 718-727

GART: The Gesture and Activity Recognition Toolkit

  • Kent LyonsAffiliated withCollege of Computing and GVU Center, Georgia Institute of Technology, Atlanta, GA 30332-0280
  • , Helene BrashearAffiliated withCollege of Computing and GVU Center, Georgia Institute of Technology, Atlanta, GA 30332-0280
  • , Tracy WesteynAffiliated withCollege of Computing and GVU Center, Georgia Institute of Technology, Atlanta, GA 30332-0280
  • , Jung Soo KimAffiliated withCollege of Computing and GVU Center, Georgia Institute of Technology, Atlanta, GA 30332-0280
  • , Thad StarnerAffiliated withCollege of Computing and GVU Center, Georgia Institute of Technology, Atlanta, GA 30332-0280

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Abstract

The Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed to enable the development of gesture-based applications. 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 learning abstractions. Furthermore, we detail the components of the toolkit and present two example gesture recognition applications.

Keywords

Gesture recognition user interface toolkit