Designing Gestures for Continuous Sonic Interaction
Tanaka, Atau; Di Donato, Balandino; Zbyszynski, Michael and Roks, Geert. 2019. 'Designing Gestures for Continuous Sonic Interaction'. In: The International Conference on New Interfaces for Musical Expression. Porto Alegre, Brazil 3-6 June 2019. [Conference or Workshop Item]
|
Text
nime_19 (3).pdf - Published Version Available under License Creative Commons Attribution. Download (6MB) | Preview |
Abstract or Description
We present a system that allows users to try different ways to train neural networks and temporal modelling to asso- ciate gestures with time-varying sound. We created a soft- ware framework for this and evaluated it in a workshop- based study. We build upon research in sound tracing and mapping-by-demonstration to ask participants to de- sign gestures for performing time-varying sounds using a multimodal, inertial measurement (IMU) and muscle sens- ing (EMG) device. We presented the user with two classical techniques from the literature, Static Position regression and Hidden Markov based temporal modelling, and pro- pose a new technique for capturing gesture anchor points on the fly as training data for neural network based regression, called Windowed Regression. Our results show trade- offs between accurate, predictable reproduction of source sounds and exploration of the gesture-sound space. Several users were attracted to our windowed regression technique. This paper will be of interest to musicians engaged in going from sound design to gesture design and offers a workflow for interactive machine learning.
Item Type: |
Conference or Workshop Item (Paper) |
||||||||
Keywords: |
Sonic Interaction Design, Interactive Machine Learning, Gestural Interaction |
||||||||
Related URLs: |
|
||||||||
Departments, Centres and Research Units: |
|||||||||
Dates: |
|
||||||||
Event Location: |
Porto Alegre, Brazil |
||||||||
Date range: |
3-6 June 2019 |
||||||||
Item ID: |
26475 |
||||||||
Date Deposited: |
19 Jun 2019 13:07 |
||||||||
Last Modified: |
13 Jun 2021 11:13 |
||||||||
URI: |
View statistics for this item...
Edit Record (login required) |