A Study of Multi-modal Immersive Interface to Feel the Structure of Big Data

Research Project

Project/Area Number	15K00687
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Research Field	Design science
Research Institution	Oita University
Principal Investigator	Kagawa Tsuneo 大分大学, 理工学部, 助教 (90253773)
Project Period (FY)	2015-04-01 – 2018-03-31
Project Status	Completed (Fiscal Year 2017)
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)
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
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.

Report

(4 results)