Proposing a classification model for perceptual target selection on large displays

Seungjae Oh, Heejin Kim, Hyo Jeong So

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationSUI 2014 - Proceedings of the 2nd ACM Symposium on Spatial User Interaction
PublisherAssociation for Computing Machinery
Pages151
Number of pages1
ISBN (Electronic)9781450328203
DOIs
StatePublished - 4 Oct 2014
Event2nd ACM Symposium on Spatial User Interaction, SUI 2014 - Honolulu, United States
Duration: 4 Oct 20145 Oct 2014

Publication series

NameSUI 2014 - Proceedings of the 2nd ACM Symposium on Spatial User Interaction

Conference

Conference2nd ACM Symposium on Spatial User Interaction, SUI 2014
Country/TerritoryUnited States
CityHonolulu
Period4/10/145/10/14

Keywords

  • Distal freehand pointing
  • Large displays
  • Spatial perception

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