상세정보
학술지
Progression-Preserving Dimension Reduction for High-Dimensional Sensor Data Visualization
- 발행일
- 201310
- 출처
- ETRI Journal, v.35 no.5, pp.911-914
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 12MC4800, 기능성 엔터테인먼트 서비스를 위한 다감각 실감미디어 체험시스템 개발, 장종현
- 초록
- This letter presents Progression-Preserving Projection, a dimension reduction technique that finds a linear projection that maps a high-dimensional sensor dataset into a two- or three-dimensional subspace with a particularly useful property for visual exploration. As a demonstration of its effectiveness as a visual exploration and diagnostic means, we empirically evaluate the proposed technique over a dataset acquired from our own virtual-reality-enhanced ball-intercepting training system designed to promote the upper extremity movement skills of individuals recovering from stroke-related hemiparesis. © 2013 ETRI.
- KSP 제안 키워드
- Dimension reduction technique, High-dimensional, Linear projection, Sensor Data Visualization, Three dimensional(3D), Training system, Virtual Reality(VR), Visual exploration, upper extremity