The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Novel Tactile Sensor Technology and Smart Tactile Sensing Systems: A Review
Open accessAbstract
During the last decades, smart tactile sensing systems based on different sensing techniques have been developed due to their high potential in industry and biomedical engineering. However, smart tactile sensing technologies and systems are still in their infancy, as many technological and system issues remain unresolved and require strong interdisciplinary efforts to address them. This paper provides an overview of smart tactile sensing systems, with a focus on signal processing technologies used to interpret the measured information from tactile sensors and/or sensors for other sensory modalities. The tactile sensing transduction and principles, fabrication and structures are also discussed with their merits and demerits. Finally, the challenges that tactile sensing technology needs to overcome are highlighted.
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
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
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 · cited 4×
“For nanomaterials such as graphene, carbon nanotubes and nanowires, they have to reply on at least one of the structural materials for the sensing purposes.”
BackgroundInfluentialAn ultra-lightweight design for imperceptible plastic electronics
Kaltenbrunner, M., Sekitani, T., Reeder, J., Yokota, T., Kuribara, K., Tokuhara, T., Drack, M., Schwödiauer, R., Graz, I., Bauer-Gogonea, S., et al. (2013) · Nature · doi:10.1038/nature12314 · Cited by 2,485
Stretchable silicon nanoribbon electronics for skin prosthesis
Kim, J., Lee, M., Shim, H. J., Ghaffari, R., Cho, H. R., Son, D., Jung, Y. H., Soh, M., Choi, C., Jung, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms6747 · Cited by 1,435
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
Optoelectronically innervated soft prosthetic hand via stretchable optical waveguides
Zhao, H., O’Brien, K., Li, S., & Shepherd, R. F. (2016) · Science Robotics · doi:10.1126/scirobotics.aai7529 · Cited by 982
Organic Nonvolatile Memory Transistors for Flexible Sensor Arrays
Sekitani, T., Yokota, T., Zschieschang, U., Klauk, H., Bauer, S., Takeuchi, K., Takamiya, M., Sakurai, T., & Someya, T. (2009) · Science · doi:10.1126/science.1179963 · Cited by 962
Wu, W., Wen, X., & Wang, Z. L. (2013) · Science · doi:10.1126/science.1234855 · Cited by 931
Self-citationA 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
A Flexible Bimodal Sensor Array for Simultaneous Sensing of Pressure and Temperature
Tien, N. T., Jeon, S., Kim, D., Trung, T. Q., Jang, M., Hwang, B., Byun, K., Bae, J., Lee, E., Tok, J. B. ‐., et al. (2014) · Advanced Materials · doi:10.1002/adma.201302869 · Cited by 438
Harada, S., Kanao, K., Yamamoto, Y., Arie, T., Akita, S., & Takei, K. (2014) · ACS Nano · doi:10.1021/nn506293y · Cited by 350 · cited 1×
“The growth of robotic applications in unstructured environments has created a pressing need for smart tactile sensing systems with advanced tactile materials and fabrication technologies.”
BackgroundFlexible Dome and Bump Shape Piezoelectric Tactile Sensors Using PVDF-TrFE Copolymer
Li, C., Wu, P.-M., Lee, S., Gorton, A., Schulz, M. J., & Ahn, C. H. (2008) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2007.911375 · Cited by 245
Lee, J. S., Shin, K.-Y., Cheong, O. J., Kim, J. H., & Jang, J. (2015) · Scientific Reports · doi:10.1038/srep07887 · Cited by 199
Konstantinova, J., Jiang, A., Althoefer, K., Dasgupta, P., & Nanayakkara, T. (2014) · IEEE Sensors Journal · doi:10.1109/jsen.2014.2325794 · Cited by 166
Kanao, K., Harada, S., Yamamoto, Y., Honda, W., Arie, T., Akita, S., & Takei, K. (2015) · RSC Advances · doi:10.1039/c5ra03110a · Cited by 148
Cited by
Deb Majumder, B., Roy, J. K., & Padhee, S. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2018.2882239 · Cited by 104
Metadata
- Authors
- Zou, L., Ge, C., Wang, Z., Cretu, E., & Li, X.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2017-11-17
- Volume
- 17
- Issue
- 11
- Pages
- 2653
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2770901093
- Cited by
- 271
- References
- 15
- FWCI
- 8.61
- Type
- journal article
- Language
- en
- Open access
- gold
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
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.
