KeyStub: A Passive RFID-based Keypad Interface Using Resonant Stubs

被引:1
作者
Nolan, John [1 ]
Qian, Kun [1 ]
Zhang, Xinyu [1 ]
机构
[1] Univ Calif San Diego, La Jolla, CA 92093 USA
来源
PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT | 2023年 / 7卷 / 04期
关键词
Battery-free; constellation diagram; RFID; push button; stubs; back-scatter; passive; RECOGNITION;
D O I
10.1145/3631442
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:23
相关论文
共 65 条
[1]   Calculation of Human Body Resistance at Power Frequency Using Anatomic Numerical Human Model [J].
Aga, Katsuaki ;
Tarao, Hiroo ;
Urushihara, Shiro .
COE ON SUSTAINABLE ENERGY SYSTEM (THAI-JAPAN), 2016, 89 :401-407
[2]  
[Anonymous], 2023, GlobeNewswire
[3]  
Arora Nivedita, 2021, UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, P1305, DOI 10.1145/3472749.3474823
[4]  
Bainbridge R., 2011, 2011 8th International Conference on Body Sensor Networks (BSN), P200, DOI 10.1109/BSN.2011.42
[5]  
Balanis C.A., 2008, Modern Antenna Handbook
[6]   A "Gen 2" RFID Monitor Based on the USRP [J].
Buettner, Michael ;
Wetherall, David .
ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2010, 40 (03) :41-47
[7]  
Butler A, 2008, UIST 2008: PROCEEDINGS OF THE 21ST ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE AND TECHNOLOGY, P201, DOI 10.1145/1449715.1449746
[8]  
Caloz C, 2006, ELECTROMAGNETIC METAMATERIALS: TRANSMISSION LINE THEORY AND MICROWAVE APPLICATIONS: THE ENGINEERING APPROACH, P1
[9]   A Collision Avoidance Identification Algorithm for Mobile RFID Device [J].
Chen Yihong ;
Feng Quanyuan .
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2019, 65 (04) :493-501
[10]   In-Air Gesture Interaction: Real Time Hand Posture Recognition Using Passive RFID Tags [J].
Cheng, Kang ;
Ye, Ning ;
Malekian, Reza ;
Wang, Ruchuan .
IEEE ACCESS, 2019, 7 :94460-94472