2022
DOI: 10.1038/s41378-022-00465-0
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3D designed battery-free wireless origami pressure sensor

Abstract: A pressure monitoring structure is a very useful element for a wearable device for health monitoring and sports biomechanics. While pressure sensors have been studied extensively, battery-free functions working in wireless detection have not been studied much. Here, we report a 3D-structured origami-based architecture sensor for wireless pressure monitoring. We developed an architectured platform for wireless pressure sensing through inductor-capacitor (LC) sensors and a monopole antenna. A personalized smart … Show more

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Cited by 12 publications
(2 citation statements)
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“…In particular, the unique coupling between the axial and rotational degrees of freedom of the Kresling stack offers unique advantages for the development of reliable force (pressure) sensor. Such concepts have already been explored for vibration sensing [210], electrophysiological sensing [209,211], and in the development of pressure sensors for robotic applications [99,107,212].…”
Section: Force Sensingmentioning
confidence: 99%
“…In particular, the unique coupling between the axial and rotational degrees of freedom of the Kresling stack offers unique advantages for the development of reliable force (pressure) sensor. Such concepts have already been explored for vibration sensing [210], electrophysiological sensing [209,211], and in the development of pressure sensors for robotic applications [99,107,212].…”
Section: Force Sensingmentioning
confidence: 99%
“…The advent of wearable devices offers an alternative to overcome the traditional limitations of gait monitoring and enables continuous monitoring and analysis in nonlaboratory environments . Various materials, including lead zirconate titanate (PZT), aluminum nitride (AlN), zinc oxide (ZnO), silver ink, and metal materials, have exhibited outstanding performance in pressure sensing, suitable for the development of high-performance wearable sensors in daily life. However, certain drawbacks may inevitably come to light when these sensors are implemented in real scenarios.…”
Section: Introductionmentioning
confidence: 99%