The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Fingerprint‐Inspired Flexible Tactile Sensor for Accurately Discerning Surface Texture
Abstract
Inspired by the epidermal–dermal and outer microstructures of the human fingerprint, a novel flexible sensor device is designed to improve haptic perception and surface texture recognition, which is consisted of single‐walled carbon nanotubes, polyethylene, and polydimethylsiloxane with interlocked and outer micropyramid arrays. The sensor shows high pressure sensitivity (−3.26 kPa−1 in the pressure range of 0−300 Pa), and it can detect the shear force changes induced by the dynamic interaction between the outer micropyramid structure on the sensor and the tested material surface, and the minimum dimension of the microstripe that can be discerned is as low as 15 µm × 15 µm (interval × width). To demonstrate the texture discrimination capability, the sensors are tested for accurately discerning various surface textures, such as the textures of different fabrics, Braille characters, the inverted pyramid patterns, which will have great potential in robot skins and haptic perception, etc.
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
Highly sensitive flexible pressure sensors with microstructured rubber dielectric layers
Mannsfeld, S. C. B., Tee, B. C.-K., Stoltenberg, R. M., Chen, C. V. H.-H., Barman, S., Muir, B. V. O., Sokolov, A. N., Reese, C., & Bao, Z. (2010) · Nature Materials · doi:10.1038/nmat2834 · Cited by 3,291
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
Park, S., Kim, H., Vosgueritchian, M., Cheon, S., Kim, H., Koo, J. H., Kim, T. R., Lee, S., Schwartz, G., Chang, H., et al. (2014) · Advanced Materials · doi:10.1002/adma.201402574 · Cited by 565
Feeling small: exploring the tactile perception limits
Skedung, L., Arvidsson, M., Chung, J. Y., Stafford, C. M., Berglund, B., & Rutland, M. W. (2013) · Scientific Reports · doi:10.1038/srep02617 · Cited by 285
Kumar, R., Shin, J., Yin, L., You, J., Meng, Y. S., & Wang, J. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201602096 · Cited by 261
Chun, S., Jung, H., Choi, Y., Bae, G., Kil, J. P., & Park, W. (2015) · Carbon · doi:10.1016/j.carbon.2015.07.088 · Cited by 49
Cited by
Nanomesh pressure sensor for monitoring finger manipulation without sensory interference
Lee, S., Franklin, S., Hassani, F. A., Yokota, T., Nayeem, M. O. G., Wang, Y., Leib, R., Cheng, G., Franklin, D. W., & Someya, T. (2020) · Science · doi:10.1126/science.abc9735 · Cited by 640
Emerging Technologies of Flexible Pressure Sensors: Materials, Modeling, Devices, and Manufacturing
Huang, Y., Fan, X., Chen, S., & Zhao, N. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201808509 · Cited by 543
Mimicking Human and Biological Skins for Multifunctional Skin Electronics
Lee, Y., Park, J., Choe, A., Cho, S., Kim, J., & Ko, H. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201904523 · Cited by 465
Yu, Z., Cai, G., Liu, X., & Tang, D. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.0c04501 · Cited by 282
Niu, H., Gao, S., Yue, W., Li, Y., Zhou, W., & Liu, H. (2020) · Small · doi:10.1002/smll.201904774 · Cited by 269
Metadata
- Authors
- Cao, Y., Li, T., Gu, Y., Luo, H., Wang, S., & Zhang, T.
- Venue
- Small
- Publisher
- Wiley
- Published
- 2018-03-05
- Volume
- 14
- Issue
- 16
- Pages
- e1703902-e1703902
- ISSN
- 1613-6810 (ISSN-L)
- 1613-6829
- OpenAlex
- W2792408677
- Cited by
- 234
- References
- 6
- FWCI
- 9.15
- 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: Fingerprint‐Inspired Flexible Tactile Sensor for Accurately Discerning Surface Texture. https://app.cochat.ai/papers/10.1002/smll.201703902
- The paper
- Cao, Y., Li, T., Gu, Y., Luo, H., Wang, S., & Zhang, T. (2018). Fingerprint‐Inspired Flexible Tactile Sensor for Accurately Discerning Surface Texture. Small. https://doi.org/10.1002/smll.201703902
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.
