Abstract
dc:description.abstractFor decades, the application of technology to percussion curricula has been substantially hindered by the limitations of conventional input devices. With the need for specialized percussion instruction at an all-time high, investigation of this domain can open the doors to an entirely new educational approach for percussion. This research frames the foundation of an embodied approach to percussion instruction manifested in a system called Percussive. Through the use of body-scale interactions, percussion students can connect with pedagogical tools at the most fundamental level−leveraging muscle memory, kinesthetics, and embodiment to present engaging and dynamic instructional sessions. The major contribution of this work is the exploration of how a system which uses motion-sensing to replicate the experiential qualities of drumming can be applied to existing pedagogues. Techniques for building a system which recognizes drumming input are discussed, as well as the system's application to a successful contemporary instructional model. In addition to the specific results that are presented, it is felt that the collective wisdom provided by the discussion of the methodology throughout this thesis provides valuable insight for others in the same area of research.
Degree
thesis:*- Name thesis:degree_name
- Master of Science
- Level thesis:degree_level
- masters
- Discipline thesis:degree_discipline
- Computer Science
- Department dc:contributor.department
- Computer Science
- Grantor dc:publisher
- Virginia Tech
- Year dc:date.issued
- 2007
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Belcher, Justin Ryan
- Chair dc:contributor.committeechair
-
- Harrison, Steven R.
- Committee members dc:contributor.committeemember
-
- Miley, James
- McCrickard, D. Scott
Subjects
dc:subject × 4Rights
dc:rights- Statement dc:rights
-
- In Copyright
- Licence dc:rights.uri
Identifiers
dc:identifier.*- Dc Identifier Other
- etd-05312007-113346
- OAI identifier oai:identifier
- oai:vtechworks.lib.vt.edu:10919/33361