Computed fingertip touch for the instrumental control of musical sound with an excursion on the computed retinal afterimage
Staas de Jong

TL;DR
This thesis explores computational methods for controlling musical sound through fingertip touch, introducing novel transducer technologies and examining visual afterimages, to expand instrumental control possibilities.
Contribution
It develops two innovative transducer systems for computed fingertip touch and demonstrates their application in musical control and visual afterimage analysis.
Findings
New transducer technologies for fingertip force control
Enhanced interaction methods for musical instruments
Computational display of retinal afterimages
Abstract
In this thesis, we present an articulated, empirical view on what human music making is, and on how this fundamentally relates to computation. The experimental evidence which we obtained seems to indicate that this view can be used as a tool, to systematically generate models, hypotheses and new technologies that enable an ever more complete answer to the fundamental question as to what forms of instrumental control of musical sound are possible to implement. This also entails the development of two novel transducer technologies for computed fingertip touch: The cyclotactor (CT) system, which provides fingerpad-orthogonal force output while tracking surface-orthogonal fingertip movement; and the kinetic surface friction transducer (KSFT) system, which provides fingerpad-parallel force output while tracking surface-parallel fingertip movement. In addition to the main research, the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTactile and Sensory Interactions · EEG and Brain-Computer Interfaces · Motor Control and Adaptation
