RF-Dial: An RFID-based 2D Human-Computer Interaction via Tag Array

RF-Dial: An RFID-based 2D Human-Computer Interaction via Tag Array
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DOI:
10.1109/infocom.2018.8486309
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发表时间:
2018-04
期刊:
IEEE INFOCOM 2018 - IEEE Conference on Computer Communications
影响因子:
--
通讯作者:
Yanling Bu;Lei Xie;Yinyin Gong;Chuyu Wang;Lei Yang;Jia Liu;Sanglu Lu
Yanling Bu;Lei Xie;Yinyin Gong;Chuyu Wang;Lei Yang;Jia Liu;Sanglu Lu
中科院分区:
其他
文献类型:
--
作者:
Yanling Bu;Lei Xie;Yinyin Gong;Chuyu Wang;Lei Yang;Jia Liu;Sanglu Lu

文献摘要

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如今,对2D人机交互新方法的需求使得许多智能设备出现,例如Microsoft Surface Dial。Surface Dial通过简单的点击和旋转实现与计算机的2D交互。在本文中,我们提出了RF-Dial,一种基于RFID标签阵列的2D人机交互的免电池解决方案。我们在物体表面贴上一排RFID标签,并使用正交部署的RFID天线对连续跟踪标记物体的平移和旋转。通过这种方式,我们能够将一块黑板擦这样的普通物体转变为智能HCI设备。根据标签阵列的射频信号,我们建立了一个几何模型来描述标签阵列的相位变化与被标记物体的刚性变换(包括平移和旋转)之间的关系。通过参考标记阵列的固定拓扑结构,我们能够准确地提取标记对象在移动过程中的平移和旋转。此外,考虑到在不同位置的RF信号的相位轮廓的变化,我们划分为线性区域和非线性区域之间的相位变化和标签的运动方面的扫描区域,并提出跟踪解决方案,分别为两个区域。我们实现了一个原型系统,并在真实的环境中评估了RF-Dial的性能。实验表明,RF-Dial的平均精度达到0。平移跟踪平均精度为6cm,旋转跟踪平均精度为1.9 °。
Nowadays, the demand for novel approaches of 2D human-computer interaction has enabled the emergence of a number of intelligent devices, such as Microsoft Surface Dial. Surface Dial realizes 2D interactions with the computer via simple clicks and rotations. In this paper, we propose RF-Dial, a battery-free solution for 2D human-computer interaction based on RFID tag arrays. We attach an array of RFID tags on the surface of an object, and continuously track the translation and rotation of the tagged object with an orthogonally deployed RFID antenna pair. In this way, we are able to transform an ordinary object like a board eraser into an intelligent HCI device. According to the RF-signals from the tag array, we build a geometric model to depict the relationship between the phase variations of the tag array and the rigid transformation of the tagged object, including the translation and rotation. By referring to the fixed topology of the tag array, we are able to accurately extract the translation and rotation of the tagged object during the moving process. Moreover, considering the variation of phase contours of the RF-signals at different positions, we divide the overall scanning area into the linear region and non-linear region in regard to the relationship between the phase variation and the tag movement, and propose tracking solutions for the two regions, respectively. We implemented a prototype system and evaluated the performance of RF-Dial in the real environment. The experiments show that RF-Dial achieved an average accuracy of 0. 6cm in the translation tracking, and an average accuracy of 1.9°in the rotation tracking.