Research onDistributed Management Method of Motion Picture with Anonymity
| Project/Area Number |
17K01149
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Educational technology
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| Research Institution | Waseda University |
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Principal Investigator |
Koyanagi Keiichi 早稲田大学, 理工学術院(情報生産システム研究科・センター), 教授 (20367171)
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| Co-Investigator(Kenkyū-buntansha) |
土屋 健 公立諏訪東京理科大学, 工学部, 准教授 (90546251)
澤野 弘明 愛知工業大学, 情報科学部, 准教授 (10609431)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2017: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 手話学習 / 分散データ / 手話特徴 / データ匿名性 / 分散学習 / 分散管理 / 手話映像 / CGキャラクタ / 分散情報管理 / 情報システム / 動作学習 |
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| Outline of Final Research Achievements |
In the present study, we studied a feature extraction method for subdividing human movement patterns, and proposed an anonymized distributed information management system that extends the fog computing model. In this method, we focused on the notion of phonemes, which is more detailed than sign language word movements. In this study, we developed a recognition method based on the three elements of the handprint, position, and motion. In anonymized distributed information management, each user's access privileges and the characteristics contained in the information are quantified. It can controll access and building a training model with a small number of distributed data and anonymizing it. We developed a mechanism to provide a combined learning one.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では，匿名性を持った動作特徴抽出モデルを，それぞれのノードで学習して，複数のノードで共有・融合させる仕組みを開発した．この仕組みでは，様々な撮影状況で得られた学習モデルを共有できるため，新たに環境を用意して学習する必要がなくなるため，活用できる範囲を広げるという意味で社会的意義が高い．また，これらの開発の要素技術は，論文として報告しており，学術的意義があるといえる．
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Report
(4 results)
Research Products
(63 results)
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[Journal Article] Examination of the Efficacy of an Injection Technique Support System2018
Author(s)
S. Sumai, K. Haruta, N. Ishii, M. Suwa, M. Nakamura, T. Morishita, S. Higashiyama, Y. Murayama, R. Ijima, H. Sawano, H. Suzumura
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Journal Title
Proc. of 7th Int’l Congress on Advanced Applied Informatics
Volume: 1
Pages: 2-2
Related Report
Peer Reviewed
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[Presentation] 非接触センサを用いたベッドメイキングの姿勢改善支援手法の提案2019
Author(s)
林雅也, 澤野弘明, 相撲佐希子, 春田佳代, 森下智美, 東山新太郎, 中村美奈子, 村山友加里, 諏訪美栄子, 鈴村初子, 石井成郎
Organizer
2019年信学総大, D-15-24
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[Presentation] 映像フィードバックを利用したショット検出法の基礎検討2017
Author(s)
林雅也, 井嶋亮太, 澤野弘明, 相撲佐希子, 春田佳代, 諏訪美栄子, 中村美奈子, 村山友加里, 東山新太郎, 森下智美, 鈴村初子, 石井成郎
Organizer
情報学ワークショップ (WiNF 2017)
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[Presentation] 模範映像と自己映像を利用した看護演習支援システムの基礎検討2017
Author(s)
井嶋亮太, 林雅也, 澤野弘明, 相撲佐希子, 春田佳代, 諏訪美栄子, 鈴村初子, 中村美奈子, 村山友加里, 東山新太郎, 森下智美, 石井成郎
Organizer
平成29年度電気・電子・情報関係学会東海連大
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[Presentation] A Study of a Nursing E-Learning System with of Exemplary and Own Operation Video2017
Author(s)
R. Ijima, M. Hayashi, H. Sawano, S. Sumai, K. Haruta, M. Suwa, M. Nakamura, Y. Murayama, S. Higasiyama, T. Morishita, H. Suzumura, and N. Ishii
Organizer
The 12th Int’l Conf. on Knowledge, Information and Creativity Support System
Related Report
Int'l Joint Research
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