Stompboxes: Kicking the Habit
| Main Authors: | Burlet, Gregory, Fujinaga, Ichiro |
|---|---|
| Format: | Proceeding eJournal |
| Terbitan: |
, 2013
|
| Online Access: |
https://zenodo.org/record/1178488 |
Daftar Isi:
- 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.