Presentation | 2003/3/6 Skill Modeling in Cello performance by Bayesian Networks Soh IGARASHI, Ken UENO, Tomonobu OZAKI, Souhei MORITA, Koichi FURUKAWA, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | tacit knowledge / skill modeling / Bayesian networks / music / performance / cello |
Paper # | AI2002-61 |
Date of Issue |
Conference Information | |
Committee | AI |
---|---|
Conference Date | 2003/3/6(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
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 |