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Lee, Kyungho
Expressive Computing Lab.
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dc.citation.conferencePlace CN -
dc.citation.conferencePlace Vancouver -
dc.citation.endPage 155 -
dc.citation.startPage 148 -
dc.citation.title 2nd International Workshop on Movement and Computing, MOCO 2015 -
dc.contributor.author Lee, Kyungho -
dc.contributor.author Junokas, Michael J. -
dc.contributor.author Amanzadeh, Mohammad -
dc.contributor.author Garnett, Guy E. -
dc.date.accessioned 2023-12-19T22:07:11Z -
dc.date.available 2023-12-19T22:07:11Z -
dc.date.created 2019-05-27 -
dc.date.issued 2015-08-14 -
dc.description.abstract Advances in sensing technology make the task of quantifying expressive human body movement more feasible than ever before. Success will enable breakthroughs in Humancomputer interaction (HCI) and control paradigms. In most areas, however, expressivity remains vague and difficult to define. We examine the movements of instrumental conductors at an elementary level to define particular qualities of a beat. In our test case, we focus on the difference between sostenuto and staccato articulation styles as a base for expressive qualities. We show that it is possible to define generic low-level movement features, we call movement primitives, to quantify the qualitative aspects of these two different articulation styles across a range of different tempi. Our movement primitives include the mean and variance of the magnitude of velocity and acceleration, and measures of spatial curvature. Each of these is measured from the ictus of one beat through the ictus of the next beat in a standard 4/4 beat pattern. The discriminative power of these features is demonstrated by two-tail t-tests and verified through Naïve Bayes classification experiments. The results demonstrate that our use of movement primitives effectively describes characteristics of expression revealed in each beat of two different articulation styles. -
dc.identifier.bibliographicCitation 2nd International Workshop on Movement and Computing, MOCO 2015, pp.148 - 155 -
dc.identifier.doi 10.1145/2790994.2791005 -
dc.identifier.issn 0000-0000 -
dc.identifier.scopusid 2-s2.0-84958528616 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/34977 -
dc.identifier.url https://dl.acm.org/citation.cfm?doid=2790994.2791005 -
dc.language 영어 -
dc.publisher Association for Computing Machinery -
dc.title An analysis of basic expressive qualities in instrumental conducting -
dc.type Conference Paper -
dc.date.conferenceDate 2015-08-14 -

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