KeyStub

IF 3.6 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Pub Date : 2024-01-12 DOI:10.1145/3631442
John Nolan, Kun Qian, Xinyu Zhang
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Abstract

The proliferation of the Internet of Things is calling for new modalities that enable human interaction with smart objects. Recent research has explored RFID tags as passive sensors to detect finger touch. However, existing approaches either rely on custom-built RFID readers or are limited to pre-trained finger-swiping gestures. In this paper, we introduce KeyStub, which can discriminate multiple discrete keystrokes on an RFID tag. KeyStub interfaces with commodity RFID ICs with multiple microwave-band resonant stubs as keys. Each stub's geometry is designed to create a predefined impedance mismatch to the RFID IC upon a keystroke, which in turn translates into a known amplitude and phase shift, remotely detectable by an RFID reader. KeyStub combines two ICs' signals through a single common-mode antenna and performs differential detection to evade the need for calibration and ensure reliability in heavy multi-path environments. Our experiments using a commercial-off-the-shelf RFID reader and ICs show that up to 8 buttons can be detected and decoded with accuracy greater than 95%. KeyStub points towards a novel way of using resonant stubs to augment RF antenna structures, thus enabling new passive wireless interaction modalities.
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关键存根
物联网的普及要求采用新的模式来实现人类与智能物体的互动。最近的研究探索了将 RFID 标签作为被动传感器来检测手指触摸。然而,现有的方法要么依赖于定制的 RFID 阅读器,要么仅限于预先训练好的手指滑动手势。在本文中,我们介绍了 KeyStub,它可以分辨 RFID 标签上的多个离散按键。KeyStub 与商品 RFID IC 相连接,以多个微波带谐振存根作为按键。每个谐振块的几何形状都经过设计,可在按键时对 RFID IC 产生预定义的阻抗失配,进而转化为已知的振幅和相移,由 RFID 阅读器远程检测。KeyStub 通过一根共模天线将两个集成电路的信号结合在一起,并进行差分检测,从而避免了校准的需要,确保了在多路径环境下的可靠性。我们使用现成的商用 RFID 阅读器和集成电路进行的实验表明,最多可检测和解码 8 个按钮,准确率超过 95%。KeyStub指出了一种使用谐振存根增强射频天线结构的新方法,从而实现了新的无源无线交互模式。
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来源期刊
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Computer Science-Computer Networks and Communications
CiteScore
9.10
自引率
0.00%
发文量
154
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