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Inferring Gaze Shifts from Captured Body Motion

SIGGRAPH 2015 Poster Proceedings, Number 77, page 77:1--77:1 — jul 2015
Download the publication : gazeInferencePoster.pdf [718Ko]  
We propose an approach for automated inference of gaze shifts and fixations by analyzing the kinematic properties of a captured body motion. Our focus is on gaze shifts, the intentional movement of the eyes, head, and upper body toward specific targets. Our system accurately infers gaze shift timings and gaze fixation targets . Applications of the inferred information include hand-authoring and automated synthesis of the missing gaze behavior, as well as multimodal analysis of the captured behavior.

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BibTex references

  author       = "Rakita, Daniel and Pejsa, Tomislav and Mutlu, Bilge and Gleicher, Michael",
  title        = "Inferring Gaze Shifts from Captured Body Motion",
  booktitle    = "SIGGRAPH 2015 Poster Proceedings",
  number       = "77",
  pages        = "77:1--77:1",
  month        = "jul",
  year         = "2015",
  keywords     = "analysis, bilateral filter, gaze, motion capture",
  ee           = "http://dl.acm.org/citation.cfm?doid=2787626.2787663",
  doi          = "10.1145/2787626.2787663",
  url          = "http://graphics.cs.wisc.edu/Papers/2015/RPMG15"

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