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Journal Article Progression-Preserving Dimension Reduction for High-Dimensional Sensor Data Visualization
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Authors
Hyunjin Yoon, Cyrus Shahabi, Carolee J. Winstein, Jong-Hyun Jang
Issue Date
2013-10
Citation
ETRI Journal, v.35, no.5, pp.911-914
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.13.0212.0468
Project Code
12MC4800, 기능성 엔터테인먼트 서비스를 위한 다감각 실감미디어 체험시스템 개발, Jang Jong Hyun
Abstract
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 Keywords
Dimension reduction technique, High-dimensional, Linear projection, Sensor Data Visualization, Three dimensional(3D), Training system, Virtual Reality(VR), Visual exploration, upper extremity