WiiGLE: Custom-Made Gesture Recognition with Nintendo's Wiimote (Tutorial Part 2)

This is part 2 of the tutorial for Augsburg University's WiiGLE (Wii-based Gesture Learning Environment). WiiGLE is used to classify hand movements based on the analysis of acceleration data from Nintendo's Wiimote controller. For this purpose, a general classification process pipeline has been implemented that allows recording training corpora of arbitrary gestures, training classifiers, and then using these classifiers for real-time recognition of gestures. WiiGLE features a modular approach allowing the developer to extend the prepackaged features and classifiers. For more information or to download visit the WiiGLE wiki at:
http://mm-werkstatt.informatik.uni-augsburg.de/documents/WiiGLE/

Or visit the lab for Multimedia Concepts and Applications at Augsburg University:
http://mm-werkstatt.informatik.uni-augsburg.de

Category:

Science & Technology

Tags:

• Wiimote
• Gesture Recognition
• Acceleration