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Abstract
In this paper, we present a high-performance soft strain sensor that uses composite sensing layers made of metal and polymer. This strain sensor is entirely developed by inkjet-printing the composite films on a highly stretchable thermoplastic polyurethane (TPU) substrate and a textile-compatible polymer film, which makes the process easy, affordable, energy-efficient, and scalable. The sensing patches are made up of two films: a PEDOT:PSS-based conductive polymer top film and a metal bottom film composed of silver nanoparticles. The sensor has a decent sensing range (≈10% strain), high sensitivity (GF ≈ 12), and outstanding mechanical stability (>1000 cycles), making it suitable for both stretching and bending deformation detection. As application examples, the soft sensors are used to track the highly deformed human body motions, displaying excellent performance. The outcomes demonstrate the attractiveness and potential of our low-cost soft strain sensors for real-world uses, such as the wide-range tracking of human movements.
| Original language | English |
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| Title of host publication | FLEPS 2023 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665457330 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 5th IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2023 - Boston, United States Duration: 9 Jul 2023 → 12 Jul 2023 |
Publication series
| Name | FLEPS 2023 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings |
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Conference
| Conference | 5th IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2023 |
|---|---|
| Country/Territory | United States |
| City | Boston |
| Period | 9/07/23 → 12/07/23 |
Keywords
- Inkjet printing
- Printed sensors
- Soft electronics
- Strain sensors
- Wearable electronics
Fingerprint
Dive into the research topics of 'Fully Inkjet-Printed Soft Wearable Strain Sensors Based on Metal/Polymer Composite Sensing Films'. Together they form a unique fingerprint.Projects
- 1 Finished
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EX-QNRF-NPRPS-13: Artificial Intelligence Assisted and Computationally Efficient Smart Vision Sensor
Bermak, A. (Lead Principal Investigator), Bouzerdoum, A. (Principal Investigator), Abubakar, A. (Graduate Student) & Ghulam Ghori, M. A. A. (Post Doctoral Fellow)
19/04/21 → 19/10/24
Project: Applied Research