RFIMatch: distributed batteryless near-field identification using RFID-tagged magnet-biased reed switches

Rong Hao Liang, Meng Ju Hsieh, Jheng You Ke, Jr Ling Guo, Bing Yu Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationUIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc
Pages473-483
Number of pages11
ISBN (Electronic)9781450359481
ISBN (Print)978-1-4503-5948-1
DOIs
Publication statusPublished - 11 Oct 2018
Event31st Annual ACM Symposium on User Interface Software and Technology (UIST 2018): UIST '18 - Berlin, Germany
Duration: 14 Oct 201817 Oct 2018

Conference

Conference31st Annual ACM Symposium on User Interface Software and Technology (UIST 2018)
CountryGermany
CityBerlin
Period14/10/1817/10/18

Keywords

  • Batteryless
  • Magnet
  • Near-field identification
  • Reed switch
  • RFID
  • Wearables

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  • Cite this

    Liang, R. H., Hsieh, M. J., Ke, J. Y., Guo, J. L., & Chen, B. Y. (2018). RFIMatch: distributed batteryless near-field identification using RFID-tagged magnet-biased reed switches. In UIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology (pp. 473-483). New York: Association for Computing Machinery, Inc. https://doi.org/10.1145/3242587.3242620