Soft Nanocomposite Based Multi-point, Multi-directional Strain Mapping Sensor Using Anisotropic Electrical Impedance Tomography
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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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- 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)
- PMC
- PMC5264388
- 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
- gold
- doi.org
- 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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