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Proposing a classification model for perceptual target selection on large displays

Published:04 October 2014Publication History

ABSTRACT

In this research, we propose a linear SVM classification model for perceptual distal target selection on large displays. The model is based on two simple features of users' finger movements reflecting users' visual perception of targets. The model shows the accuracy of 92.78% for predicting an intended target at end point.

References

  1. Jota, R., Nacenta, M.A., Jorge, J.A., Carpendale, S., and Greenberg, S. A comparison of ray pointing techniques for very large displays. In Proc. Graphic Interface 2010, ACM Press (2010), 269--276. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Vogel, D. and Balakrishnan, R. Distant freehand pointing and clicking on very large, high resolution displays. In Proc. UIST 2005, ACM Press (2005), 33--42. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Proposing a classification model for perceptual target selection on large displays

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    • Published in

      cover image ACM Conferences
      SUI '14: Proceedings of the 2nd ACM symposium on Spatial user interaction
      October 2014
      174 pages
      ISBN:9781450328203
      DOI:10.1145/2659766

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 October 2014

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      Acceptance Rates

      SUI '14 Paper Acceptance Rate18of62submissions,29%Overall Acceptance Rate86of279submissions,31%

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      ACM Symposium on Spatial User Interaction
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