Stompboxes: Kicking the Habit

Gregory Burlet, and Ichiro Fujinaga

Proceedings of the International Conference on New Interfaces for Musical Expression

Abstract:

Sensor-based gesture recognition is investigated as a possible solution to theproblem of managing an overwhelming number of audio effects in live guitarperformances. A realtime gesture recognition system, which automaticallytoggles digital audio effects according to gestural information captured by anaccelerometer attached to the body of a guitar, is presented. To supplement theseveral predefined gestures provided by the recognition system, personalizedgestures may be trained by the user. Upon successful recognition of a gesture,the corresponding audio effects are applied to the guitar signal and visualfeedback is provided to the user. An evaluation of the system yielded 86%accuracy for user-independent recognition and 99% accuracy for user-dependentrecognition, on average.

Citation:

Gregory Burlet, and Ichiro Fujinaga. 2013. Stompboxes: Kicking the Habit. Proceedings of the International Conference on New Interfaces for Musical Expression. DOI: 10.5281/zenodo.1178488

BibTeX Entry:

  @inproceedings{Burlet2013,
 abstract = {Sensor-based gesture recognition is investigated as a possible solution to theproblem of managing an overwhelming number of audio effects in live guitarperformances. A realtime gesture recognition system, which automaticallytoggles digital audio effects according to gestural information captured by anaccelerometer attached to the body of a guitar, is presented. To supplement theseveral predefined gestures provided by the recognition system, personalizedgestures may be trained by the user. Upon successful recognition of a gesture,the corresponding audio effects are applied to the guitar signal and visualfeedback is provided to the user. An evaluation of the system yielded 86%accuracy for user-independent recognition and 99% accuracy for user-dependentrecognition, on average.},
 address = {Daejeon, Republic of Korea},
 author = {Gregory Burlet and Ichiro Fujinaga},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1178488},
 issn = {2220-4806},
 keywords = {Augmented instrument, gesture recognition, accelerometer, pattern recognition, performance practice},
 month = {May},
 pages = {41--44},
 publisher = {Graduate School of Culture Technology, KAIST},
 title = {Stompboxes: Kicking the Habit},
 url = {http://www.nime.org/proceedings/2013/nime2013_109.pdf},
 year = {2013}
}