Tangible User Interface in Dance and Computer Simutlation

• Project/Area Number: 26350269
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Educational technology
• Research Institution: Ochanomizu University
• Principal Investigator: Nakamura Minako お茶の水女子大学, 基幹研究院, 准教授 (20345408)
• Co-Investigator(Kenkyū-buntansha): 芝野 耕司 東京外国語大学, アジア・アフリカ言語文化研究所, 教授 (50216024)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Project Status: Completed (Fiscal Year 2016)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000); Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
• Keywords: タンジブルユーザインタフェース / シミュレーション / 舞踊教育 / インドネシア / 舞踊記譜法 / Labanotation / 身体動作分析 / 3DCG / タンジブルインタフェース / Ｌａｂａｎｏｔａｔｉｏｎ / ３ＤＣＧ / ３DCG

Outline of Final Research Achievements

The tangible user interface is a more realistic interface that renews the concept of existing interfaces and makes it possible to directly touch untyped information (tangible). It removes constraints by interfaces such as complicated input tasks and further shortens the distance between human and computer.
In this research, we examined the tangible user interface in dance from the three viewpoints of doll like input device QUMARION, visualization of motion capture (simulation), CG animation by dance notation method and control of robot movement.

Research Products

• [Int'l Joint Research] インドネシア国立芸術大学デンパサール校(インドネシア)
• [Journal Article] Describing upper body motions based on the Labanotation for Learning-from-observation robots (2017)
  • Author(s): Katsushi Ikeuchi, Zhaoyuan Ma, Zengqiang Yan, Shunsuke Kudoh, Minako Nakamura
  • Journal Title: Intl. J. Computer Vision Volume: 印刷中
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Extracting Formulaic Sequences Containing Useful Expressions for Language Learning from Closed Caption TV Corpus (2016)
  • Author(s): Hajime Mochizuki and Kohji Shibano
  • Journal Title: E-Learn 2016 Volume: ￣ Pages: 29-37
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] モーションキャプチャ技術を用いた文理融合型手法によるバリ舞踊の動作分析 (2016)
  • Author(s): 中村美奈子
  • Journal Title: Dance Notations and Robot Motions, Springer Volume: 2015-CH-108(2) Pages: 1-3
  • DOI: 10.1007/978-3-319-25739-6_19
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Presentation] バリ舞踊の形と動き (2015)
  • Author(s): 中村美奈子
  • Organizer: 第80回形の科学シンポジウム「スポーツ・パフォーミングアーツに現れる形」
  • Place of Presentation: 東京電機大学
  • Year and Date: 2015-11-21
  • Invited
• [Presentation] 舞踊記譜法の歴史的展開──ラバノテーションを中心に (2015)
  • Author(s): 中村美奈子
  • Organizer: シンポジウム「わざ継承の歴史と現在──身体・記譜・共同体
  • Place of Presentation: 野上記念法政大学能楽研究所
  • Year and Date: 2015-09-13
  • Invited
• [Presentation] The use of LabanEditor as an educational tool (2015)
  • Author(s): Minako NAKAMURA, Worawat CHOENSAWAT, Kozaburo HACHIMURA
  • Organizer: 29th Biennial Conference of ICKL (International Council of Kinetography Laban/Labanotation)
  • Place of Presentation: Tours, France
  • Year and Date: 2015-07-24
  • Int'l Joint Research
• [Presentation] バリの女性舞踊の動作特性について (2015)
  • Author(s): 中村美奈子
  • Organizer: 2015年度人工知能学会全国大会
  • Place of Presentation: 公立はこだて未来大学
  • Year and Date: 2015-05-30
• [Presentation] 舞踊研究とモーションキャプチャ ー舞踊における文理融合について－ (2014)
  • Author(s): 中村美奈子
  • Organizer: モーションキャプチャシンポジウム
  • Place of Presentation: 神奈川工科大学
  • Year and Date: 2014-12-20
• [Presentation] GenLaban: Autonomous Dance Avatar for Generating Stylized Dance Motion from Simple Dance Notations (2014)
  • Author(s): Worawat Choensawat, Minako Nakamura, Kozaburo Hachimura
  • Organizer: 1st Workshop of the Anthropomorphic Motion Factory: Dance Notations and Robot Motion
  • Place of Presentation: LAAS-CNRS in Toulouse, France
  • Year and Date: 2014-11-13 – 2014-11-14
  • Invited
• [Book] Dance Notations and Robot Motion, Springer Tracts in Advanced Robotics Vol111 (2016)
  • Author(s): Worawat Choensawat, Minako Nakamura, Kozaburo Hachimura
  • Total Pages: 430
  • Publisher: Springer