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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Progression-Preserving Dimension Reduction for High-Dimensional Sensor Data Visualization

  • Yoon, Hyunjin (IT Convergence Technology Research Laboratory, ETRI) ;
  • Shahabi, Cyrus (Department of Computer Science, University of Southern California) ;
  • Winstein, Carolee J. (Division of Biokinesiology and Physical Therapy, School of Dentistry, University of Southern California) ;
  • Jang, Jong-Hyun (IT Convergence Technology Research Laboratory, ETRI)
  • Received : 2012.10.18
  • Accepted : 2013.04.02
  • Published : 2013.10.31
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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.

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References

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