2023
DOI: 10.3390/bios13020174
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Skin-Inspired Tactile Sensor on Cellulose Fiber Substrates with Interfacial Microstructure for Health Monitoring and Guitar Posture Feedback

Abstract: Skin-inspired flexible tactile sensors, with interfacial microstructure, are developed on cellulose fiber substrates for subtle pressure applications. Our device is made of two cellulose fiber substrates with conductive microscale structures, which emulate the randomly distributed spinosum in between the dermis and epidermis layers of the human skin. The microstructures not only permit a higher stress concentration at the tips but also generate electrical contact points and change contact resistance between th… Show more

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Cited by 5 publications
(3 citation statements)
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“…The sensing mechanism for the sensor is electrical contact resistance (ECR) variation mechanism which has been previously reported. ECR is represented by the resistance between two conductive surfaces. The electrical current can pass through the contact points at the interface, as shown in Figure b.…”
Section: Resultsmentioning
confidence: 99%
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“…The sensing mechanism for the sensor is electrical contact resistance (ECR) variation mechanism which has been previously reported. ECR is represented by the resistance between two conductive surfaces. The electrical current can pass through the contact points at the interface, as shown in Figure b.…”
Section: Resultsmentioning
confidence: 99%
“…Previous research has explored the use of origami structures in tactile sensors but has not delved into the implications of folds and creases. This current work employs origami-inspired folding to amplify sensor performance by expanding the effective area and pressure-sensing range. Adjustments on rigid substrates enhance sensitivity, delivering results 3.4 times more sensitive than conventional photocopy paper sensors . Although employing a folding technique slightly prolongs the recovery time to 1.4 ms, it adequately accommodates real-time applications.…”
Section: Resultsmentioning
confidence: 99%
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