The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Soft Capacitive Pressure Sensors: Trends, Challenges, and Perspectives
Abstract
Soft pressure sensors are critical components of e-skins, which are playing an increasingly significant role in two burgeoning fields: soft robotics and bioelectronics. Capacitive pressure sensors (CPS) are popular given their mechanical flexibility, high sensitivity, and signal stability. After two decades of rapid development, e-skins based on soft CPS are able to achieve human-skin-like softness and sensitivity. However, there remain two major roadblocks in the way for practical application of soft CPS: the decay of sensitivity with increased pressure and the coupled response between in-plane stretch and out-of-plane pressure. In addition to existing strategies of building porous and/or high dielectric constant soft dielectrics, are there any other promising methods to overcome those bottlenecks? Are there any further considerations for the widespread deployment of e-skins? This perspective aims to shed some light on those topics.
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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
Skin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes
Lipomi, D. J., Vosgueritchian, M., Tee, B. C.-K., Hellstrom, S. L., Lee, J. A., Fox, C. H., & Bao, Z. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.184 · Cited by 3,188
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
Pursuing prosthetic electronic skin
Chortos, A., Liu, J., & Bao, Z. (2016) · Nature Materials · doi:10.1038/nmat4671 · Cited by 2,396
Pan, L., Chortos, A., Yu, G., Wang, Y., Isaacson, S., Allen, R., Shi, Y., Dauskardt, R., & Bao, Z. (2014) · Nature Communications · doi:10.1038/ncomms4002 · Cited by 1,519
Highly stretchable electroluminescent skin for optical signaling and tactile sensing
Larson, C., Peele, B., Li, S., Robinson, S., Totaro, M., Beccai, L., Mazzolai, B., & Shepherd, R. (2016) · Science · doi:10.1126/science.aac5082 · Cited by 1,393
Persano, L., Dagdeviren, C., Su, Y., Zhang, Y., Girardo, S., Pisignano, D., Huang, Y., & Rogers, J. A. (2013) · Nature Communications · doi:10.1038/ncomms2639 · Cited by 1,271
Boutry, C. M., Negre, M., Jorda, M., Vardoulis, O., Chortos, A., Khatib, O., & Bao, Z. (2018) · Science Robotics · doi:10.1126/scirobotics.aau6914 · Cited by 921
Large‐Area All‐Textile Pressure Sensors for Monitoring Human Motion and Physiological Signals
Liu, M., Pu, X., Jiang, C., Liu, T., Huang, X., Chen, L., Du, C., Sun, J., Hu, W., & Wang, Z. L. (2017) · Advanced Materials · doi:10.1002/adma.201703700 · Cited by 732
A stretchable and biodegradable strain and pressure sensor for orthopaedic application
Boutry, C. M., Kaizawa, Y., Schroeder, B. C., Chortos, A., Legrand, A., Wang, Z., Chang, J., Fox, P., & Bao, Z. (2018) · Nature Electronics · doi:10.1038/s41928-018-0071-7 · Cited by 667
Cited by
Yuan, H., Zhang, Q., Zhou, T., Wu, W., Li, H., Yin, Z., Ma, J., & Jiao, T. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.149926 · Cited by 180
Metadata
- Authors
- Ha, K.-H., Huh, H., Li, Z., & Lu, N.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2022-03-09
- Volume
- 16
- Issue
- 3
- Pages
- 3442-3448
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W4221067154
- Cited by
- 269
- References
- 53
- FWCI
- 14.03
- Type
- journal article
- Language
- en
- Open access
- closed
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