Rong-Hao Liang
ACM UIST 2018: ACM User Interface Software and Technology Symposium
RFIMatch: Distributed Batteryless Near-Field Identification Using RFID-Tagged Magnet-Biased Reed Switches
Rong-Hao Liang1, Meng-Ju Hsieh2, Jheng-You Ke1, Jr-Ling Guo1, Bing-Yu Chen1
TU Eindhoven1, National Taiwan University2
Video
Abstract
This paper presents a technique enabling distributed batteryless near-field identification (ID) between two passive radio frequency ID (RFID) tags. Each conventional ultra-high-frequency (UHF) RFID tag is modified by connecting its antenna and chip to a reed switch and then attaching a magnet to one of the reed switch’s terminals, thus transforming it into an always-on switch. When the two modules approach each other, the magnets counteract each other and turn off both switches at the same time. The coabsence of IDs thus indicates a unique interaction event. In addition to sensing, the module also provides native haptic feedback through magnetic repulsion force, enabling users to perceive the system’s state eyes-free, without physical constraints. Additional visual feedback can be provided through an energy-harvesting module and a light emitting diode. This specific hardware design supports contactless, orientation-invariant sensing, with a form factor compact enough for embedded and wearable use in ubiquitous computing applications.
Keywords
near-field identification, reed switch, wearables, rfid, batteryless, magnet
Cite this work (ACM)
Rong-Hao Liang, Meng-Ju Hsieh, Jheng-You Ke, Jr-Ling Guo, and Bing-Yu Chen. 2018. RFIMatch: Distributed Batteryless Near-Field Identification Using RFID-Tagged Magnet-Biased Reed Switches. In <i>Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology</i> (<i>UIST '18</i>). Association for Computing Machinery, New York, NY, USA, 473–483. DOI:https://doi.org/10.1145/3242587.3242620
Cite this work (Bibtex)
@inproceedings{10.1145/3242587.3242620,
author = {Liang, Rong-Hao and Hsieh, Meng-Ju and Ke, Jheng-You and Guo, Jr-Ling and Chen, Bing-Yu},
title = {RFIMatch: Distributed Batteryless Near-Field Identification Using RFID-Tagged Magnet-Biased Reed Switches},
year = {2018},
isbn = {9781450359481},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3242587.3242620},
doi = {10.1145/3242587.3242620},
abstract = {This paper presents a technique enabling distributed batteryless near-field identification (ID) between two passive radio frequency ID (RFID) tags. Each conventional ultra-high-frequency (UHF) RFID tag is modified by connecting its antenna and chip to a reed switch and then attaching a magnet to one of the reed switch's terminals, thus transforming it into an always-on switch. When the two modules approach each other, the magnets counteract each other and turn off both switches at the same time. The coabsence of IDs thus indicates a unique interaction event. In addition to sensing, the module also provides native haptic feedback through magnetic repulsion force, enabling users to perceive the system's state eyes-free, without physical constraints. Additional visual feedback can be provided through an energy-harvesting module and a light emitting diode. This specific hardware design supports contactless, orientation-invariant sensing, with a form factor compact enough for embedded and wearable use in ubiquitous computing applications.},
booktitle = {Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology},
pages = {473–483},
numpages = {11},
keywords = {near-field identification, reed switch, wearables, rfid, batteryless, magnet},
location = {Berlin, Germany},
series = {UIST '18}
}