Proposing a classification model for perceptual target selection on large displays
Seungjae Oh, Heejin Kim, Hyo‐Jeong So · 2014
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.