Evidence map›Paper›PMID 32013226›Full record

ArticleSensors (Basel, Switzerland)2020

A Novel Sensorised Insole for Sensing Feet Pressure Distributions.

Ines Sorrentino, Francisco Javier Andrade Chavez, Claudia Latella, Luca Fiorio, Silvio Traversaro, Lorenzo Rapetti, Yeshasvi Tirupachuri, Nuno Guedelha, Marco Maggiali, Simeone Dussoni and 2 more

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

12 authors.

Ines SorrentinoDynamic Interaction Control at Istituto Italiano di Tecnologia, Center for Robotics and Intelligent Systems, Via San Quirico 19D, Genoa, Italy, franciscoJavier.andradechavez@iit.it (F.J.A.C.).
Francisco Javier Andrade ChavezDynamic Interaction Control at Istituto Italiano di Tecnologia, Center for Robotics and Intelligent Systems, Via San Quirico 19D, Genoa, Italy, franciscoJavier.andradechavez@iit.it (F.J.A.C.).
Claudia LatellaDynamic Interaction Control at Istituto Italiano di Tecnologia, Center for Robotics and Intelligent Systems, Via San Quirico 19D, Genoa, Italy, franciscoJavier.andradechavez@iit.it (F.J.A.C.).ORCID 0000-0003-4792-4588
Luca FiorioiCub Tech at Istituto Italiano di Tecnologia, Via San Quirico 19D, Genoa, Italy, luca.fiorio@iit.it (L.F.).
Silvio TraversaroiCub Tech at Istituto Italiano di Tecnologia, Via San Quirico 19D, Genoa, Italy, luca.fiorio@iit.it (L.F.).
Lorenzo RapettiDynamic Interaction Control at Istituto Italiano di Tecnologia, Center for Robotics and Intelligent Systems, Via San Quirico 19D, Genoa, Italy, franciscoJavier.andradechavez@iit.it (F.J.A.C.).
Yeshasvi TirupachuriDynamic Interaction Control at Istituto Italiano di Tecnologia, Center for Robotics and Intelligent Systems, Via San Quirico 19D, Genoa, Italy, franciscoJavier.andradechavez@iit.it (F.J.A.C.).
Nuno GuedelhaDynamic Interaction Control at Istituto Italiano di Tecnologia, Center for Robotics and Intelligent Systems, Via San Quirico 19D, Genoa, Italy, franciscoJavier.andradechavez@iit.it (F.J.A.C.).
Marco MaggialiiCub Tech at Istituto Italiano di Tecnologia, Via San Quirico 19D, Genoa, Italy, luca.fiorio@iit.it (L.F.).
Simeone DussoniiCub Tech at Istituto Italiano di Tecnologia, Via San Quirico 19D, Genoa, Italy, luca.fiorio@iit.it (L.F.).
Giorgio MettaDynamic Interaction Control at Istituto Italiano di Tecnologia, Center for Robotics and Intelligent Systems, Via San Quirico 19D, Genoa, Italy, franciscoJavier.andradechavez@iit.it (F.J.A.C.).
Daniele PucciDynamic Interaction Control at Istituto Italiano di Tecnologia, Center for Robotics and Intelligent Systems, Via San Quirico 19D, Genoa, Italy, franciscoJavier.andradechavez@iit.it (F.J.A.C.).

Funding

Horizon 2020 Framework Programme 731540
6 · The paper itself

Abstract

Wearable sensors are gaining in popularity because they enable outdoor experimental monitoring. This paper presents a cost-effective sensorised insole based on a mesh of tactile capacitive sensors. Each sensor's spatial resolution is about 4 taxels/cm 2 in order to have an accurate reconstruction of the contact pressure distribution. As a consequence, the insole provides information such as contact forces, moments, and centre of pressure. To retrieve this information, a calibration technique that fuses measurements from a vacuum chamber and shoes equipped with force/torque sensors is proposed. The validation analysis shows that the best performance achieved a root mean square error (RMSE) of about 7 N for the contact forces and 2 N m for the contact moments when using the force/torque shoe data as ground truth. Thus, the insole may be an alternative to force/torque sensors for certain applications, with a considerably more cost-effective and less invasive hardware.

Indexed as

Biosensing TechniquesBiomechanical PhenomenaFootFoot OrthosesGaitHumansPressureTouchWearable Electronic Devicescapacitive sensorspressure distributionsensorised insoletactile sensors arraywearable sensors

Identifiers

PMID32013226
PMCPMC7038453

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.