Evidence map›Paper›PMID 34206438›Full record

ArticleSensors (Basel, Switzerland)2021

A 3D-Printed Soft Fingertip Sensor for Providing Information about Normal and Shear Components of Interaction Forces.

Gerjan Wolterink, Remco Sanders, Bert-Jan van Beijnum, Peter Veltink, Gijs Krijnen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Textile-Based Mechanical Sensors: A Review.Materials (Basel, Switzerland) · 2021
    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

5 authors.

Gerjan WolterinkRobotics and Mechatronics Group (RAM), University of Twente, 7500 AE Enschede, The Netherlands.ORCID 0000-0002-5095-5345
Remco SandersRobotics and Mechatronics Group (RAM), University of Twente, 7500 AE Enschede, The Netherlands.
Bert-Jan van BeijnumBiomedical Signals and Systems (BSS), University of Twente, 7500 AE Enschede, The Netherlands.
Peter VeltinkBiomedical Signals and Systems (BSS), University of Twente, 7500 AE Enschede, The Netherlands.
Gijs KrijnenRobotics and Mechatronics Group (RAM), University of Twente, 7500 AE Enschede, The Netherlands.ORCID 0000-0001-9537-7123

Funding

Horizon 2020 688857
6 · The paper itself

Abstract

Sensing of the interaction forces at fingertips is of great value in assessment and rehabilitation therapy. Current force sensors are not compliant to the fingertip tissue and result in loss of touch sensation of the user. This work shows the development and characterization of a flexible fully-3D-printed piezoresistive shear and normal force sensor that uses the mechanical deformation of the finger tissue. Two prototypes of the sensing structure are evaluated using a finite element model and a measurement setup that applies normal and shear forces up to 10 N on a fingertip phantom placed inside the sensing structure, which is fixed to prevent slippage. Furthermore, the relation between strain (rate) and resistance of the conductive TPU, used for the strain gauges, is characterized. The applied normal and shear force components of the 3D-printed sensing structure can be partly separated. FEM analysis showed that the output of the sensor is largely related to the sensor geometry and location of the strain gauges. Furthermore, the conductive TPU that was used has a negative gauge factor for the strain range used in this study and might cause non-linear behaviors in the sensor output.

Indexed as

FingersTouchElectric ConductivityMechanical PhenomenaPrinting, Three-Dimensional3D-printingconductivefingertip sensorflexible, soft, shear forceTPU

Identifiers

PMID34206438
PMCPMC8272213

What OpenQuestion holds

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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.