提出了一种用于大型显示器感知目标选择的分类模型

Proceedings of the 2nd ACM symposium on Spatial user interaction Pub Date : 2014-10-04 DOI:10.1145/2659766.2661216

Seungjae Oh, Heejin Kim, H. So

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引用次数: 0

摘要

在这项研究中，我们提出了一种线性支持向量机分类模型，用于大型显示器的感知远端目标选择。该模型基于用户手指运动的两个简单特征，反映了用户对目标的视觉感知。该模型对终点预期目标的预测准确率为92.78%。

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Proposing a classification model for perceptual target selection on large displays

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.

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Proceedings of the 2nd ACM symposium on Spatial user interaction

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