The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A Highly Sensitive Capacitive‐Based Soft Pressure Sensor Based on a Conductive Fabric and a Microporous Dielectric Layer
Open accessAbstract
In this paper, the design and manufacturing of a highly sensitive capacitive‐based soft pressure sensor for wearable electronics applications are presented. Toward this aim, two types of soft conductive fabrics (knitted and woven), as well as two types of sacrificial particles (sugar granules and salt crystals) to create micropores within the dielectric layer of the capacitive sensor are evaluated, and the combined effects on the sensor's overall performance are assessed. It is found that a combination of the conductive knit electrode and higher dielectric porosity (generated using the larger sugar granules) yields higher sensitivity (121 × 10−4 kPa−1) due to greater compressibility and the formation of air gaps between silicone elastomer and conductive knit electrode among the other design considerations in this study. As a practical demonstration, the capacitive sensor is embedded into a textile glove for grasp motion monitoring during activities of daily living.
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Cites
Design, fabrication and control of soft robots
Rus, D., & Tolley, M. T. (2015) · Nature · doi:10.1038/nature14543 · Cited by 5,825
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
Stretchable, Skin-Mountable, and Wearable Strain Sensors and Their Potential Applications: A Review
Amjadi, M., Kyung, K., Park, I., & Sitti, M. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201504755 · Cited by 3,202
A wearable and highly sensitive pressure sensor with ultrathin gold nanowires
Gong, S., Schwalb, W., Wang, Y., Chen, Y., Tang, Y., Si, J., Shirinzadeh, B., & Cheng, W. (2014) · Nature Communications · doi:10.1038/ncomms4132 · Cited by 2,064
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Advances of flexible pressure sensors toward artificial intelligence and health care applications
Zang, Y., Zhang, F., Di, C.-A., & Zhu, D. (2015) · Materials Horizons · doi:10.1039/c4mh00147h · Cited by 1,272
A soft robotic exosuit improves walking in patients after stroke
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Self-citationDagdeviren, C., Shi, Y., Joe, P., Ghaffari, R., Balooch, G., Usgaonkar, K., Gur, O., Tran, P. L., Crosby, J. R., Meyer, M., et al. (2015) · Nature Materials · doi:10.1038/nmat4289 · Cited by 513
Cited by
Flexible and Stretchable Capacitive Sensors with Different Microstructures
Qin, J., Yin, L., Hao, Y., Zhong, S., Zhang, D., Bi, K., Zhang, Y., Zhao, Y., & Dang, Z. (2021) · Advanced Materials · doi:10.1002/adma.202008267 · Cited by 616
Wen, F., Sun, Z., He, T., Shi, Q., Zhu, M., Zhang, Z., Li, L., Zhang, T., & Lee, C. (2020) · Advanced Science · doi:10.1002/advs.202000261 · Cited by 478
Heterogeneous sensing in a multifunctional soft sensor for human-robot interfaces
Kim, T., Lee, S., Hong, T., Shin, G., Kim, T., & Park, Y.-L. (2020) · Science Robotics · doi:10.1126/scirobotics.abc6878 · Cited by 235
Khoshmanesh, F., Thurgood, P., Pirogova, E., Nahavandi, S., & Baratchi, S. (2021) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112946 · Cited by 204
Jia, J., Huang, G., Deng, J., & Pan, K. (2019) · Nanoscale · doi:10.1039/c8nr08503j · Cited by 172
Metadata
- Authors
- Atalay, O., Atalay, A., Gafford, J., & Walsh, C.
- Venue
- Advanced Materials Technologies
- Publisher
- Wiley
- Published
- 2017-11-27
- Volume
- 3
- Issue
- 1
- ISSN
- 2365-709X (ISSN-L)
- OpenAlex
- W2770045479
- Cited by
- 329
- References
- 8
- FWCI
- 11.87
- Type
- journal article
- Language
- en
- Open access
- green
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- Atalay, O., Atalay, A., Gafford, J., & Walsh, C. (2018). A Highly Sensitive Capacitive‐Based Soft Pressure Sensor Based on a Conductive Fabric and a Microporous Dielectric Layer. Advanced Materials Technologies. https://doi.org/10.1002/admt.201700237
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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