The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Electrical Impedance Tomography for Artificial Sensitive Robotic Skin: A Review
Abstract
Electrical impedance tomography (EIT) is a nondestructive imaging technique used to estimate the internal conductivity distribution of a conductive domain by taking potential measurements only at the domain boundaries. If a thin electrically conductive material that responds to pressure with local changes in conductivity is used as a conductive domain, then EIT can be used to create a large-scale pressure-sensitive artificial skin for robotics applications. This paper presents a review of EIT and its application as a robotics sensitive skin, including EIT excitation and image reconstruction techniques, materials, and skin fabrication techniques. Touch interpretation via EIT-based artificial skins is also reviewed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
Zeng, Z., Pantic, M., Roisman, G. I., & Huang, T. S. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.52 · Cited by 2,797
Hammock, M. L., Chortos, A., Tee, B. C. ‐., Tok, J. B. ‐., & Bao, Z. (2013) · Advanced Materials · doi:10.1002/adma.201302240 · Cited by 2,396 · cited 2×
“The reader is referred to [7]–[9] and [13] for more detailed requirements.”
Haptic discrimination of material properties by a robotic hand
Takamuku, S., Gomez, G., Hosoda, K., & Pfeifer, R. (2007) · 2007 IEEE 6th International Conference on Development and Learning · doi:10.1109/devlrn.2007.4354057 · Cited by 66
Cited by
Recent Progress in Electronic Skin
Wang, X., Dong, L., Zhang, H., Yu, R., Pan, C., & Wang, Z. L. (2015) · Advanced Science · doi:10.1002/advs.201500169 · Cited by 976
Park, K., Yuk, H., Yang, M., Cho, J., Lee, H., & Kim, J. (2022) · Science Robotics · doi:10.1126/scirobotics.abm7187 · Cited by 281
Lee, H., Kwon, D., Cho, H., Park, I., & Kim, J. (2017) · Scientific Reports · doi:10.1038/srep39837 · Cited by 130
Metadata
- Authors
- Silvera-Tawil, D., Rye, D., Soleimani, M., & Velonaki, M.
- Venue
- IEEE Sensors Journal
- Published
- 2015-04
- Volume
- 15
- Issue
- 4
- Pages
- 2001-2016
- ISSN
- 1530-437X (ISSN-L)
- 1558-1748
- OpenAlex
- W2037486375
- Cited by
- 182
- References
- 3
- FWCI
- 3.36
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Electrical Impedance Tomography for Artificial Sensitive Robotic Skin: A Review. https://app.cochat.ai/papers/10.1109/jsen.2014.2375346
- The paper
- Silvera-Tawil, D., Rye, D., Soleimani, M., & Velonaki, M. (2015). Electrical Impedance Tomography for Artificial Sensitive Robotic Skin: A Review. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2014.2375346
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
