Comparing the Timing of Movement Events for Air-Drumming Gestures
New air-instruments allow us to control sound by moving our bodies in space without manipulating a physical object. However when we want to trigger a discrete sound at a precise time, for example by making a drumming gesture, the timing feels wrong. This work aims to understand what aspects of a performer’s movement correspond to their subjective sense of when the sound should occur. A study of air-drumming gestures was conducted, and the timing of eight movement events based on movements of the hand, wrist, elbow joint, and wrist joint are examined. In general, it is found that movement events based on peaks in acceleration are better because they occur earlier and have less noise than do events based on changes of direction.
KeywordsGesture Musical gesture Air-instruments Air-drumming New interfaces for musical expression
This research was performed as part of my PhD thesis at CCRMA, Stanford University.
- 2.Collicutt, M., Casciato, C., Wanderley, M.M.: From real to virtual: a comparison of input devices for percussion tasks. In: Proceedings of NIME, pp. 4–6 (2009)Google Scholar
- 4.Dahl, L., Wang, G.: SoundBounce: physical metaphors in designing mobile music performance. In: Proceedings of the 2010 Conference on New Interfaces for Musical Expression, Sydney, Australia, pp. 178–181 (2010)Google Scholar
- 7.Havel, C., Desainte-Catherine, M.: Modeling an air percussion for composition and performance. In: Proceedings of the 2004 Conference on New Interfaces for Musical Expression, pp. 31–34. National University of Singapore (2004)Google Scholar
- 10.Mäki-Patola, T.: User interface comparison for virtual drums. In: Proceedings of the 2005 Conference on New Interfaces for Musical Expression, pp. 144–147. National University of Singapore (2005)Google Scholar
- 11.Mathews, M.V.: Three dimensional baton and gesture sensor, US Patent 4,980,519, 25 December 1990Google Scholar
- 13.Sarasúa, Á., Guaus, E.: Beat tracking from conducting gestural data: a multi-subject study. In: Proceedings of the 2014 International Workshop on Movement and Computing, p. 118. ACM (2014)Google Scholar
- 14.Visi, F., Schramm, R., Miranda, E.: Gesture in performance with traditional musical instruments and electronics: use of embodied music cognition and multimodal motion capture to design gestural mapping strategies. In: Proceedings of the 2014 International Workshop on Movement and Computing, p. 100. ACM (2014)Google Scholar
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