A Study of Multi-modal Immersive Interface to Feel the Structure of Big Data
| Project/Area Number |
15K00687
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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 |
Design science
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| Research Institution | Oita University |
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Principal Investigator |
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | ビッグデータ解析 / マルチモーダルインタフェース / Immersive Analytics / 医用画像処理 / データ構造化 / バーチャルリアリティ / ビッグデータ / コンピュータビジョン / 可視化技術 |
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| Outline of Final Research Achievements |
In this research, we have investigated immersive interface using VR technology for analyzing big data including nonstructural data such as images. We have experimented to medical imaging diagnosis support tools using sound information with students and radiologists, and we have verified the effect. As a result, although there is room for discussion between modality cooperation, we obtain suggestions on the effectiveness of immersive interface.
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Report
(4 results)
Research Products
(3 results)
