Evidence map›Paper›PMID 31940878›Full record

ArticleSensors (Basel, Switzerland)2020

Fully-Textile, Wearable Chipless Tags for Identification and Tracking Applications.

Laura Corchia, Giuseppina Monti, Egidio De Benedetto, Andrea Cataldo, Leopoldo Angrisani, Pasquale Arpaia, Luciano Tarricone

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  8. Review
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  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Laura CorchiaDepartment of Engineering for Innovation, Complesso Ecotekne-Corpo O, University of Salento, 73100 Lecce, Italy.ORCID 0000-0003-4178-2160
Giuseppina MontiDepartment of Engineering for Innovation, Complesso Ecotekne-Corpo O, University of Salento, 73100 Lecce, Italy.ORCID 0000-0003-0595-2310
Egidio De BenedettoDepartment of Information Technology and Electrical Engineering, University of Naples Federico II, 80125 Naples, Italy.ORCID 0000-0002-2792-2131
Andrea CataldoDepartment of Engineering for Innovation, Complesso Ecotekne-Corpo O, University of Salento, 73100 Lecce, Italy.ORCID 0000-0001-9031-7690
Leopoldo AngrisaniDepartment of Information Technology and Electrical Engineering, University of Naples Federico II, 80125 Naples, Italy.ORCID 0000-0001-6932-6891
Pasquale ArpaiaDepartment of Information Technology and Electrical Engineering, University of Naples Federico II, 80125 Naples, Italy.ORCID 0000-0002-5192-5922
Luciano TarriconeDepartment of Engineering for Innovation, Complesso Ecotekne-Corpo O, University of Salento, 73100 Lecce, Italy.ORCID 0000-0003-4154-1148

Funding

Regione Puglia T2ZQAU1
6 · The paper itself

Abstract

In this work, two fully-textile wearable devices, to be used as chipless identification tags in identification and tracking applications are presented. For the fabrication of the fully-textile tags, a layer of fleece was used as a substrate, while an adhesive non-woven conductive fabric was employed for the conductive parts. To allow radio-frequency identification of these chipless tags, two alternative techniques were used. One relies on associating a binary code with the resonance frequency of resonant devices: the presence/absence of the resonance peaks in the transmission scattering parameter, | S 21 | , of a set of resonators is used to encode a string of bits. The second technique for accomplishing radio-frequency identification of the chipless tags resorts to a frequency-shift coding technique, which is implemented by modifying the configuration of a hairpin resonator. The obtained numerical and experimental results confirm the suitability of the proposed strategies for obtaining entirely-textile, wearable chipless tags for identification and tracking purposes, which can be particularly useful, especially in the industrial sector. In this field, in fact, the proposed solutions would guarantee a seamless integration with clothes and would facilitate the user's interaction with the IoT infrastructure. In this regard, one of the envisaged application scenarios related to the tracking of hides in the leather industry is also presented.

Indexed as

chipless tagfrequency shiftidentificationIoTmicrowave resonatorstextiletrackingwearable

Identifiers

PMID31940878
PMCPMC7013661

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.