The skweezee system: enabling the design and the programming of squeeze interactions

Karen Vanderloock, V. Abeele, J. Suykens, L. Geurts
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引用次数: 48

Abstract

The Skweezee System is an easy, flexible and open system for designing and developing squeeze-based, gestural interactions. It consists of Skweezees, which are soft objects, filled with conductive padding, that can be deformed or squeezed by applying pressure. These objects contain a number of electrodes that are dispersed over the shape. The electrodes sense the shape shifting of the conductive filling by measuring the changing resistance between every possible pair of electrodes. In addition, the Skweezee System contains user-friendly software that allows end-users to define and to record their own squeeze gestures. These gestures are distinguished using a Support Vector Machine (SVM) classifier. In this paper we introduce the concept and the underlying technology of the Skweezee System and we demonstrate the robustness of the SVM based classifier via two experimental user studies. The results of these studies demonstrate accuracies of 81% (8 gestures, user-defined) to 97% (3 gestures, user-defined), with an accuracy of 90% for 7 pre-defined gestures.
skweezee系统:实现挤压交互的设计和编程
Skweezee系统是一个简单、灵活和开放的系统,用于设计和开发基于挤压的手势交互。它由skweezee组成,这是一种柔软的物体,填充了导电填充物,可以通过施加压力来变形或挤压。这些物体包含许多分散在形状上的电极。电极通过测量每一对可能的电极之间的电阻变化来感知导电填料的形状变化。此外,Skweezee系统包含用户友好的软件,允许最终用户定义和记录他们自己的挤压手势。这些手势使用支持向量机(SVM)分类器进行区分。在本文中,我们介绍了Skweezee系统的概念和底层技术,并通过两个实验用户研究证明了基于SVM的分类器的鲁棒性。这些研究结果表明,准确率为81%(8个手势,用户自定义)至97%(3个手势,用户自定义),其中7个预定义手势的准确率为90%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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