An interface for real-time classification of articulations produced by violin bowing

Authors:
Chad Peiper;David Warden;Guy Garnett
Affiliations:
University of Illinois, Urbana-Champaign;University of Illinois, Urbana-Champaign;University of Illinois, Urbana-Champaign
Venue:
NIME '03 Proceedings of the 2003 conference on New interfaces for musical expression
Year:
2003

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Abstract

We introduce a software system for real-time classification of violin bow strokes (articulations). The system uses an electromagnetic motion tracking system to capture raw gesture data. The data is analyzed to extract stroke features. These features are provided to a decision tree for training and classification. Feedback from feature and classification data is presented visually in an immersive graphic environment.