The DOI matches its Crossref record.
A large area force sensor for smart skin applications
Abstract
This paper presents the construction and theory of operation of a large area, flexible, tactile sensor and its applications. The sensing mechanism is based on the novel contact piezoresistive effect. Furthermore, the sensor's resolution, size and shape can be easily tailored to the applications' requirements. This versatility facilitates the use of the sensor in smart applications where tactile information is used to create system intelligence. Future improvements in the tactile sensing arena are discussed along with the potential benefits of using polymer electronics.
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
Cited by
A review of tactile sensing technologies with applications in biomedical engineering
Tiwana, M. I., Redmond, S. J., & Lovell, N. H. (2012) · Sensors and Actuators A: Physical · doi:10.1016/j.sna.2012.02.051 · Cited by 721
Conductive polymer-based sensors for biomedical applications
Nambiar, S., & Yeow, J. T. W. (2011) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2010.09.046 · Cited by 513
A Flexible Polymer Tactile Sensor: Fabrication and Modular Expandability for Large Area Deployment
Lee, H.-K., Chang, S.-I., & Yoon, E. (2006) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2006.886021 · Cited by 396
The Boom in 3D-Printed Sensor Technology
Xu, Y., Wu, X., Guo, X., Kong, B., Zhang, M., Qian, X., Mi, S., & Sun, W. (2017) · Sensors · doi:10.3390/s17051166 · Cited by 361
Majority Voting: Material Classification by Tactile Sensing Using Surface Texture
Jamali, N., & Sammut, C. (2011) · IEEE Transactions on Robotics · doi:10.1109/tro.2011.2127110 · Cited by 203
Metadata
- Authors
- Papakostas, T. V., Lima, J., & Lowe, M.
- Venue
- Proceedings of IEEE Sensors
- Publisher
- IEEE
- Published
- 2003-06-25
- Volume
- 2
- Pages
- 1620-1624
- ISSN
- 1930-0395 (ISSN-L)
- OpenAlex
- W1493041716
- Cited by
- 162
- References
- 0
- FWCI
- 8.71
- Type
- conference paper
- 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 large area force sensor for smart skin applications. https://app.cochat.ai/papers/10.1109/icsens.2002.1037366
- The paper
- Papakostas, T. V., Lima, J., & Lowe, M. (2003). A large area force sensor for smart skin applications. Proceedings of IEEE Sensors. https://doi.org/10.1109/icsens.2002.1037366
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.
