WiiGLE

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The component classifyes hand movements in a 3D space based on the analysis of acceleration data captured from a Nintendo’s Wiimote controller. It is supported by a corpora of arbitrary gestures used to train classifiers which are used for online recognition of gestures. It records gestures, calculates features, performing training and validation of either pre-packaged or specific features and classifiers, offering APIs and supporting dynamic load. An extensive tutorial documentation is available.



Availability of the component: Reference contact is Elisabeth Andre' of University of Augsburg
Notes: The component is available under GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version. WiiGLE makes use of a WEKA data mining toolkit for classifying data  and IKVM library to access JAVA methods from C#. Download is available from here  after registration, see also the detailed manual here.


Besides functional tests, extensive experimentation of WiiGLE in CALLAS is done in:
Additional reference to the component usage is made in CALLAS Newsletter3 and in the following CALLAS papers, articles and poster:
Last Updated on Friday, 02 July 2010 08:28