JOURNAL ARTICLE

Inkjet-Printed, Nanofiber-Based Soft Capacitive Pressure Sensors for Tactile Sensing

Riikka MikkonenAnastasia KoivikkoTiina VuorinenVeikko SariolaMatti Mäntysalo

Year: 2021 Journal:   IEEE Sensors Journal Vol: 21 (23)Pages: 26286-26293   Publisher: IEEE Sensors Council

Abstract

The development of soft electronics is critical to the realization of artificial intelligence that comes into direct contact with humans, such as wearable devices, and robotics. Furthermore, rapid prototyping and inexpensive processes are essential for the development of these applications. We demonstrate here an additive, low-cost method for fabricating polydimethylsiloxane based soft electronics by inkjet printing. Herein, a novel approach using a water-soluble polyvinyl alcohol layer as the substrate, inexpensive, fully digital fabrication of capacitive pressure sensors is enabled by sandwiching mesh-like conductive layers and microstructured dielectric in a straightforward, convenient manner. These sensors exhibit improved sensitivity (4 MPa−1) at low pressures (< 1 kPa) in contrast to sensors with a flat elastomer dielectric and can still detect large pressures around 50 kPa, having excellent long-term repeatability over 2000 cycles, without significant hysteresis (≤ 8.5 %). The tactile sensing ability of the fabricated devices was demonstrated in a practical application. Moreover, sensor characteristics are easily adjustable, simply by changing printing parameters or tuning the ink solution. The proposed approach provides scalable solution for fabricating high-sensitivity printed sensors for e-skin and human-machine interfaces.

Keywords:
Tactile sensor Capacitive sensing Materials science Polydimethylsiloxane Soft robotics Fabrication Stretchable electronics Electronics Substrate (aquarium) Flexible electronics Printed electronics Electronic skin Pressure sensor Nanotechnology Sensitivity (control systems) Wearable technology Inkwell Optoelectronics Wearable computer Electronic engineering Computer science Electrical engineering Actuator Mechanical engineering Robot Artificial intelligence Engineering Composite material Embedded system

Metrics

18
Cited By
1.20
FWCI (Field Weighted Citation Impact)
38
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Gas Sensing Nanomaterials and Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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