The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A Self‐Powered Sensor Mimicking Slow‐ and Fast‐Adapting Cutaneous Mechanoreceptors
Abstract
Highly efficient human skin systems transmit fast adaptive (FA) and slow adaptive (SA) pulses selectively or consolidatively to the brain for a variety of external stimuli. The integrated analysis of these signals determines how humans perceive external physical stimuli. Here, a self‐powered mechanoreceptor sensor based on an artificial ion‐channel system combined with a piezoelectric film is presented, which can simultaneously implement FA and SA pulses like human skin. This device detects stimuli with high sensitivity and broad frequency band without external power. For the feasibility study, various stimuli are measured or detected. Vital signs such as the heart rate and ballistocardiogram can be measured simultaneously in real time. Also, a variety of stimuli such as the mechanical stress, surface roughness, and contact by a moving object can be distinguished and detected. This opens new scientific fields to realize the somatic cutaneous sensor of the real skin. Moreover, this new sensing scheme inspired by natural sensing structures is able to mimic the five senses of living creatures.
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
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., Haddadin, S., Liu, J., Cash, S. S., van der Smagt, P., et al. (2012) · Nature · doi:10.1038/nature11076 · Cited by 2,719
Coding and use of tactile signals from the fingertips in object manipulation tasks
Johansson, R. S., & Flanagan, J. R. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2621 · Cited by 2,063
Ultrasensitive mechanical crack-based sensor inspired by the spider sensory system
Kang, D., Pikhitsa, P. V., Choi, Y. W., Lee, C., Shin, S. S., Piao, L., Park, B., Suh, K.-Y., Kim, T.-I., & Choi, M. (2014) · Nature · doi:10.1038/nature14002 · Cited by 1,626
Nanowire active-matrix circuitry for low-voltage macroscale artificial skin
Takei, K., Takahashi, T., Ho, J. C., Ko, H., Gillies, A. G., Leu, P. W., Fearing, R. S., & Javey, A. (2010) · Nature Materials · doi:10.1038/nmat2835 · Cited by 1,274
Park, J., Lee, Y., Hong, J., Ha, M., Jung, Y.-D., Lim, H., Kim, S. Y., & Ko, H. (2014) · ACS Nano · doi:10.1021/nn500441k · Cited by 915
A skin-inspired organic digital mechanoreceptor
Tee, B. C.-K., Chortos, A., Berndt, A., Nguyen, A. K., Tom, A., McGuire, A., Lin, Z. C., Tien, K., Bae, W.-G., Wang, H., et al. (2015) · Science · doi:10.1126/science.aaa9306 · Cited by 882
Imani, S., Bandodkar, A. J., Mohan, A. M. V., Kumar, R., Yu, S., Wang, J., & Mercier, P. P. (2016) · Nature Communications · doi:10.1038/ncomms11650 · Cited by 861
A neural interface provides long-term stable natural touch perception
Tan, D. W., Schiefer, M. A., Keith, M. W., Anderson, J. R., Tyler, J., & Tyler, D. J. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008669 · Cited by 751
Active tactile exploration using a brain–machine–brain interface
O’Doherty, J. E., Lebedev, M. A., Ifft, P. J., Zhuang, K. Z., Shokur, S., Bleuler, H., & Nicolelis, M. A. L. (2011) · Nature · doi:10.1038/nature10489 · Cited by 629
Flexible suspended gate organic thin-film transistors for ultra-sensitive pressure detection
Zang, Y., Zhang, F., Huang, D., Gao, X., Di, C.-A., & Zhu, D. (2015) · Nature Communications · doi:10.1038/ncomms7269 · Cited by 548
Cited by
Zhu, M., Sun, Z., Zhang, Z., Shi, Q., He, T., Liu, H., Chen, T., & Lee, C. (2020) · Science Advances · doi:10.1126/sciadv.aaz8693 · Cited by 784
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
Piezoelectric nanogenerators for personalized healthcare
Deng, W., Zhou, Y., Libanori, A., Chen, G., Yang, W., & Chen, J. (2022) · Chemical Society Reviews · doi:10.1039/d1cs00858g · Cited by 434
Prosthesis with neuromorphic multilayered e-dermis perceives touch and pain
Osborn, L. E., Dragomir, A., Betthauser, J. L., Hunt, C. L., Nguyen, H. H., Kaliki, R. R., & Thakor, N. V. (2018) · Science Robotics · doi:10.1126/scirobotics.aat3818 · Cited by 427
An artificial neural tactile sensing system
Chun, S., Kim, J.-S., Yoo, Y., Choi, Y., Jung, S. J., Jang, D., Lee, G., Song, K.-I., Nam, K. S., Youn, I., et al. (2021) · Nature Electronics · doi:10.1038/s41928-021-00585-x · Cited by 428
Metadata
- Authors
- Chun, K., Son, Y. J., Jeon, E., Lee, S., & Han, C.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2018-02-09
- Volume
- 30
- Issue
- 12
- Pages
- e1706299-e1706299
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2790113404
- Cited by
- 186
- References
- 12
- FWCI
- 6.61
- 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: A Self‐Powered Sensor Mimicking Slow‐ and Fast‐Adapting Cutaneous Mechanoreceptors. https://app.cochat.ai/papers/10.1002/adma.201706299
- The paper
- Chun, K., Son, Y. J., Jeon, E., Lee, S., & Han, C. (2018). A Self‐Powered Sensor Mimicking Slow‐ and Fast‐Adapting Cutaneous Mechanoreceptors. Advanced Materials. https://doi.org/10.1002/adma.201706299
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.
