| Project/Area Number |
23300037
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | Kyoto Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
YOSHIDA Tetsuya 京都工芸繊維大学, 工芸科学研究科, 准教授 (00191601)
HOCHIN Teruhisa 京都工芸繊維大学, 工芸科学研究科, 教授 (00251984)
TSUJINO Yoshihiro 京都工芸繊維大学, 工芸科学研究科, 教授 (20172009)
KURAMOTO Itaru 京都工芸繊維大学, 工芸科学研究科, 准教授 (20333502)
OKA Natsuki 京都工芸繊維大学, 工芸科学研究科, 教授 (20362585)
ARAKI Masahiro 京都工芸繊維大学, 工芸科学研究科, 准教授 (50252490)
KUWAHARA Noriaki 京都工芸繊維大学, 工芸科学研究科, 准教授 (60395168)
SHIBUYA Yu 京都工芸繊維大学, 学内共同利用施設等, 教授 (70226190)
KOYAMA Emi 京都工芸繊維大学, 工芸科学研究科, 教授 (80346121)
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| Project Period (FY) |
2011-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥20,150,000 (Direct Cost: ¥15,500,000、Indirect Cost: ¥4,650,000)
Fiscal Year 2013: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2012: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2011: ¥9,750,000 (Direct Cost: ¥7,500,000、Indirect Cost: ¥2,250,000)
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| Keywords | 技能素 / 間（ま） / 案配 / 伝統技能 / こつ / 間(ま) / 伝統芸能 |
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| Research Abstract |
A certain rhythm or pose that strongly influence to beauty and performance of crafts is present in the behavior of proficient artisan. The purpose of this study is to construct a multifunction archives for the saving inheritance based on analysis of skill focused on between pose and power distribution of traditional proficient artisans.
Biological signals (EEG, ECG, EMG) and human behavior are simultaneously measured for making a multi-functional archive. Elementary proficiency that makes up the craftsmanship has been extracted by analyzing the physiological data and biomechanics on pose and power distribution. We showed relationship between proficiency and the adaptive capacity to changes of environment. Also we proposed the model of pose and power distribution in a multi-function archives, the virtual mirror system that can represent intuitively both pose and power distribution by coloring method, and humanoid robot system for imitating hand movement by reinforcement learning.
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