Presentation 2003/3/6
Skill Modeling in Cello performance by Bayesian Networks
Soh IGARASHI, Ken UENO, Tomonobu OZAKI, Souhei MORITA, Koichi FURUKAWA,
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Abstract(in English) In this paper, we discuss the problem of modeling human skill in Bayesian network. The purpose of skill modeling is to use the model to improve performances in such activities as playing instruments, dancing, and playing various kinds of sports. The difficulty of human skill analysis comes from its tacitness: even professional violinists or cellists do not know how they are playing. This paper defines a basic framework of the research by proposing possible representations and structures of the Bayesian networks for human skill, and by defining the purpose of model usage. We furthermore discuss how to assign conditional probability tables in each node of the proposed Bayesian networks by accumulating observational data by a motion capturing system as well as by a surface electromyogram. We also discuss how to compare professional players with amateurs using Bayesian network representations.
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Keyword(in English) tacit knowledge / skill modeling / Bayesian networks / music / performance / cello
Paper # AI2002-61
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Committee AI
Conference Date 2003/3/6(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Skill Modeling in Cello performance by Bayesian Networks
Sub Title (in English)
Keyword(1) tacit knowledge
Keyword(2) skill modeling
Keyword(3) Bayesian networks
Keyword(4) music
Keyword(5) performance
Keyword(6) cello
1st Author's Name Soh IGARASHI
1st Author's Affiliation Graduate School of Media and Governance, Keio University()
2nd Author's Name Ken UENO
2nd Author's Affiliation Keio Research Institute at SFC
3rd Author's Name Tomonobu OZAKI
3rd Author's Affiliation Graduate School of Media and Governance, Keio University
4th Author's Name Souhei MORITA
4th Author's Affiliation Graduate School of Media and Governance, Keio University
5th Author's Name Koichi FURUKAWA
5th Author's Affiliation Graduate School of Media and Governance, Keio University
Date 2003/3/6
Paper # AI2002-61
Volume (vol) vol.102
Number (no) 709
Page pp.pp.-
#Pages 6
Date of Issue