Evidence map›Paper›PMID 30862051›Full record

ArticleSensors (Basel, Switzerland)2019

A Novel Approach for 3D-Structural Identification through Video Recording: Magnified Tracking.

Yunus Emre Harmanci, Utku Gülan, Markus Holzner, Eleni Chatzi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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.

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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

4 authors.

Yunus Emre HarmanciInstitute of Structural Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, 8093 Zurich, Switzerland. harmanci@ibk.baug.ethz.ch.ORCID 0000-0002-6739-218X
Utku GülanInstitute of Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, 8093 Zurich, Switzerland. utku.guelan@ifu.baug.ethz.ch.ORCID 0000-0002-8639-6936
Markus HolznerInstitute of Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, 8093 Zurich, Switzerland. holzner@ifu.baug.ethz.ch.ORCID 0000-0003-2702-8612
Eleni ChatziInstitute of Structural Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, 8093 Zurich, Switzerland. chatzi@ibk.baug.ethz.ch.ORCID 0000-0002-6870-240X

Funding

European Research Council ERC-2015-StG #679843European Research Council Proof of Concept Grant ERC-2018-PoC WINDMIL RT-DTSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung SNSF R'Equip # 2-77242-17
6 · The paper itself

Abstract

Advancements in optical imaging devices and computer vision algorithms allow the exploration of novel diagnostic techniques for use within engineering systems. A recent field of application lies in the adoption of such devices for non-contact vibrational response recordings of structures, allowing high spatial density measurements without the burden of heavy cabling associated with conventional technologies. This, however, is not a straightforward task due to the typically low-amplitude displacement response of structures under ambient operational conditions. A novel framework, namely

Indexed as

AlgorithmsHumansImage Processing, Computer-AssistedImaging, Three-DimensionalRheologyVideo Recordingmotion magnificationparticle tracking velocimetrySHMstructural identificationvibration-based measurement

Identifiers

PMID30862051
PMCPMC6427300

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.