A Multimodal System for Gesture Recognition in Interactive Music Performance

Overholt et al present a multimodal system for gesture recognition in untethered interactive flute performance. Using computer vision, audio analysis, and electric-field sensing, a performer's discrete cues are remotely identified, and continuous expressive gestures are captured in musical perf...

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Bibliographic Details
Published in:Computer music journal 2009-12, Vol.33 (4), p.69-82
Main Authors: Overholt, Dan, Thompson, John, Putnam, Lance, Bell, Bo, Kleban, Jim, Sturm, Bob, Kuchera-Morin, JoAnn
Format: Article
Language:English
Subjects:
Algorithms
Computer music
Computers
Flutes
Gestures
Interactive
Interactive learning
Music
Music stands
Musical instruments
Musical performance
Musicology
New Performance Interfaces
Performing artists
Recognition
Sensors
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Summary:Overholt et al present a multimodal system for gesture recognition in untethered interactive flute performance. Using computer vision, audio analysis, and electric-field sensing, a performer's discrete cues are remotely identified, and continuous expressive gestures are captured in musical performance.
ISSN:0148-9267
1531-5169
DOI:10.1162/comj.2009.33.4.69