GART: The Gesture and Activity Recognition Toolkit

Files
gartpaper.pdf (223.38 KB)
Author(s)
Brashear, Helene
Kim, Jung Soo
Lyons, Kent
Westeyn, Tracy
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Organizational Unit
Series
Collections
Research Publications
Supplementary to:
Permanent Link
http://hdl.handle.net/1853/27819
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.
Sponsor
Date
2007-07
Extent
Resource Type
Text
Resource Subtype
Proceedings
Rights Statement
Rights URI