Cited by 130Advanced Sensor and Energy Harvesting MaterialsElectrical and Bioimpedance TomographyNanomaterials and Printing Technologies

Soft Nanocomposite Based Multi-point, Multi-directional Strain Mapping Sensor Using Anisotropic Electrical Impedance Tomography

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Lee, Hyosang, Kwon, Donguk, Cho, Haedo, Park, Inkyu, Kim, Jung·2017·Scientific Reports

Abstract

The practical utilization of soft nanocomposites as a strain mapping sensor in tactile sensors and artificial skins requires robustness for various contact conditions as well as low-cost fabrication process for large three dimensional surfaces. In this work, we propose a multi-point and multi-directional strain mapping sensor based on multiwall carbon nanotube (MWCNT)-silicone elastomer nanocomposites and anisotropic electrical impedance tomography (aEIT). Based on the anisotropic resistivity of the sensor, aEIT technique can reconstruct anisotropic resistivity distributions using electrodes around the sensor boundary. This strain mapping sensor successfully estimated stretch displacements (error of 0.54 ± 0.53 mm), surface normal forces (error of 0.61 ± 0.62 N), and multi-point contact locations (error of 1.88 ± 0.95 mm in 30 mm × 30 mm area for a planar shaped sensor and error of 4.80 ± 3.05 mm in 40 mm × 110 mm area for a three dimensional contoured sensor). In addition, the direction of lateral stretch was also identified by reconstructing anisotropic distributions of electrical resistivity. Finally, a soft human-machine interface device was demonstrated as a practical application of the developed sensor.

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  • To measure multiaxial strain, techniques such as arranging multiple sensors with rosette configuration, anisotropic electrical impedance tomography, and stacking strain sensors with low cross-sensitivity along different directions were adopted.

    “To measure multiaxial strain, techniques such as arranging multiple sensors with rosette configuration, [135,136] anisotropic electrical impedance tomography, [137] and stacking strain sensors with low cross-sensitivity along different directions were adopted.”

    From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [137]

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Research works printed but not linked: 2

  1. Cole B. E. & Zook D. J. Carbon nanotube sensor. US Patent 7,057,402 (2006).
  2. Brandrup J., Immergut E. H., Grulke E. A., Abe A. & Bloch D. R. Polymer handbook (Wiley New York etc, 1999).

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Authors
Lee, H., Kwon, D., Cho, H., Park, I., & Kim, J.
Affiliations
Korea Advanced Institute of Science and Technology (KR)
Corresponding author
  • Park, Inkyu
  • Kim, Jung
Venue
Scientific Reports
Published
2017-01-25
Volume
7
Issue
1
Pages
39837-39837
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2580898283
Cited by
130
References
67
Citations by year
2026: 2 · 2025: 10 · 2024: 16 · 2023: 13 · 2022: 13 · 2021: 18 · 2020: 18 · 2019: 21 · 2018: 16 · 2017: 3
FWCI
7.14
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • National Research Foundation (2015R1A5A1037668, NRF-2015R1A5A1037668)
  • Ministry of Science, ICT and Future Planning (2015R1A5A1037668)
  • National Research Foundation of Korea (NRF-2015R1A5A1037668), 2015R1A5A1037668)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Bioimpedance Tomography
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Nanomaterials and Printing Technologies
Keywords
multi-walled carbon nanotubes, tactile sensors, artificial skin, anisotropic electrical resistivity, human-machine interaction
MeSH terms
Electrodes, Humans, Silicone Elastomers, Tomography, Touch, Anisotropy, Electric Impedance, Nanotubes, Carbon, Nanocomposites, Brain-Computer Interfaces

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