Evidence map›Paper›PMID 37177708›Full record

ArticleSensors (Basel, Switzerland)2023

Modeling and Calibration of Pressure-Sensing Insoles via a New Plenum-Based Chamber.

Italo Belli, Ines Sorrentino, Simeone Dussoni, Gianluca Milani, Lorenzo Rapetti, Yeshasvi Tirupachuri, Enrico Valli, Punith Reddy Vanteddu, Marco Maggiali, Daniele Pucci

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Italo BelliArtificial and Mechanical Intelligence Research Line, Istituto Italiano di Tecnologia (IIT), Center for Robotics and Intelligent Systems, 16163 Genova, Italy.ORCID 0000-0002-8064-2251
Ines SorrentinoArtificial and Mechanical Intelligence Research Line, Istituto Italiano di Tecnologia (IIT), Center for Robotics and Intelligent Systems, 16163 Genova, Italy.ORCID 0000-0002-0434-7568
Simeone DussoniiCub Tech Facility, Italiano di Tecnologia (IIT), Center for Robotics and Intelligent Systems, 16163 Genova, Italy.ORCID 0000-0002-0328-2643
Gianluca MilaniArtificial and Mechanical Intelligence Research Line, Istituto Italiano di Tecnologia (IIT), Center for Robotics and Intelligent Systems, 16163 Genova, Italy.ORCID 0000-0002-4012-7415
Lorenzo RapettiArtificial and Mechanical Intelligence Research Line, Istituto Italiano di Tecnologia (IIT), Center for Robotics and Intelligent Systems, 16163 Genova, Italy.ORCID 0000-0003-3071-9676
Yeshasvi TirupachuriArtificial and Mechanical Intelligence Research Line, Istituto Italiano di Tecnologia (IIT), Center for Robotics and Intelligent Systems, 16163 Genova, Italy.ORCID 0000-0002-0467-0074
Enrico ValliArtificial and Mechanical Intelligence Research Line, Istituto Italiano di Tecnologia (IIT), Center for Robotics and Intelligent Systems, 16163 Genova, Italy.ORCID 0000-0002-0126-453X
Punith Reddy VantedduArtificial and Mechanical Intelligence Research Line, Istituto Italiano di Tecnologia (IIT), Center for Robotics and Intelligent Systems, 16163 Genova, Italy.ORCID 0000-0001-6784-1822
Marco MaggialiiCub Tech Facility, Italiano di Tecnologia (IIT), Center for Robotics and Intelligent Systems, 16163 Genova, Italy.ORCID 0000-0001-6142-5545
Daniele PucciArtificial and Mechanical Intelligence Research Line, Istituto Italiano di Tecnologia (IIT), Center for Robotics and Intelligent Systems, 16163 Genova, Italy.ORCID 0000-0002-7600-3203

Funding

European Union's Horizon 2020 731540
6 · The paper itself

Abstract

This paper proposes a novel method to reliably calibrate a pair of sensorized insoles utilizing an array of capacitive tactile pixels (

Indexed as

capacitive sensorsmodel identificationsensor calibrationsensorized insoleswearable sensors

Identifiers

PMID37177708
PMCPMC10181679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.