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

Fingerprint

Reed relays
Radio frequency identification (RFID)
Magnets
Switches
Feedback
Energy harvesting
Ubiquitous computing
Light emitting diodes
Identification (control systems)
Antennas
Hardware

Keywords

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

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
Liang, Rong Hao ; Hsieh, Meng Ju ; Ke, Jheng You ; Guo, Jr Ling ; Chen, Bing Yu. / RFIMatch: distributed batteryless near-field identification using RFID-tagged magnet-biased reed switches. UIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology. New York : Association for Computing Machinery, Inc, 2018. pp. 473-483
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Liang, RH, Hsieh, MJ, Ke, JY, Guo, JL & Chen, BY 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. Association for Computing Machinery, Inc, New York, pp. 473-483, 31st Annual ACM Symposium on User Interface Software and Technology (UIST 2018), Berlin, Germany, 14/10/18. https://doi.org/10.1145/3242587.3242620

RFIMatch: distributed batteryless near-field identification using RFID-tagged magnet-biased reed switches. / Liang, Rong Hao; Hsieh, Meng Ju; Ke, Jheng You; Guo, Jr Ling; Chen, Bing Yu.

UIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology. New York : Association for Computing Machinery, Inc, 2018. p. 473-483.

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

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AB - 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.

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Liang RH, Hsieh MJ, Ke JY, Guo JL, Chen BY. 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. New York: Association for Computing Machinery, Inc. 2018. p. 473-483 https://doi.org/10.1145/3242587.3242620