Motion Analysis System for Instruction of Nihon Buyo using Motion Capture
-
- Shinoda Yukitaka
- College of Science and Technology, Nihon University
-
- Murakami Shingo
- College of Science and Technology, Nihon University
-
- Watanabe Yuta
- College of Science and Technology, Nihon University
-
- Mito Yuki
- College of Art, Nihon University
-
- Watanuma Reishi
- College of Art, Nihon University
-
- Marumo Mieko
- College of Art, Nihon University
Bibliographic Information
- Other Title
-
- モーションキャプチャを用いた日本舞踊の教育用動作解析システムの構築
- モーションキャプチャ オ モチイタ ニホン ブヨウ ノ キョウイクヨウ ドウサ カイセキ システム ノ コウチク
Search this article
Abstract
The passing on and preserving of advanced technical skills has become an important issue in a variety of fields, and motion analysis using motion capture has recently become popular in the research of advanced physical skills. This research aims to construct a system having a high on-site instructional effect on dancers learning Nihon Buyo, a traditional dance in Japan, and to classify Nihon Buyo dancing according to style, school, and dancer's proficiency by motion analysis. We have been able to study motion analysis systems for teaching Nihon Buyo now that body-motion data can be digitized and stored by motion capture systems using high-performance computers. Thus, with the aim of developing a user-friendly instruction-support system, we have constructed a motion analysis system that displays a dancer's time series of body motions and center of gravity for instructional purposes. In this paper, we outline this instructional motion analysis system based on three-dimensional position data obtained by motion capture. We also describe motion analysis that we performed based on center-of-gravity data obtained by this system and motion analysis focusing on school and age group using this system.
Journal
-
- IEEJ Transactions on Fundamentals and Materials
-
IEEJ Transactions on Fundamentals and Materials 131 (4), 270-276, 2011
The Institute of Electrical Engineers of Japan
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282679575748992
-
- NII Article ID
- 10027979499
-
- NII Book ID
- AN10136312
-
- ISSN
- 13475533
- 03854205
-
- NDL BIB ID
- 11065080
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
-
- Abstract License Flag
- Disallowed