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Massachusetts Institute of Technology

FlexiGesture : a sensor-rich real-time adaptive gesture and affordance learning platform for electronic music control

Abstract

dc:description.abstract

Acoustic musical instruments have traditionally featured static mappings from input gesture to output sound, their input affordances being tied to the physics of their sound-production mechanism. More recently, the advent of digital sound synthesizers and electronic music controllers has abolished the tight coupling between input gesture and resultant sound, making an exponentially large range of input-to-output mappings possible, as well as an infinite set of possible timbres. This revolutionary change in the way sound can be produced and controlled brings with it the burden of design: Compelling and natural mappings from gesture to sound now must be created in order to create a playable electronic music instrument. The goal of this thesis is to present a device that allows flexible assignment of input gesture to output sound, so acting as a laboratory to help further understanding about the connection from gesture to sound. An embodied multi-degree-of-freedom gestural input device was constructed. The device was built to support six-degree-of-freedom inertial sensing, five isometric buttons, two digital buttons, two-axis bend sensing, isometric rotation sensing, and isotonic electric field sensing of position. Software was written to handle the incoming serial data, and to implement a trainable interface by which a user can explore the sounds possible with the device, associate a custom inertial gesture with a sound for later playback, make custom input degree-of-freedom (DOF) to effect modulation mappings, and play with the resulting configuration. A user study with 25 subjects was run to evaluate the system in terms of its engaging-ness, enjoyability, ability to inspire interest in future play and performance,

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2004

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Merrill, David Jeffrey, 1978-
Advisor dc:contributor.advisor
  • Joseph A. Paradiso.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/17823
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/17823

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Merrill, David Jeffrey, 1978-. FlexiGesture : a sensor-rich real-time adaptive gesture and affordance learning platform for electronic music control. Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17823