2022
DOI: 10.29026/oea.2022.210029
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Piezoresistive design for electronic skin: from fundamental to emerging applications

Abstract: There is growing recognition that the developments in piezoresistive devices from personal healthcare to artificial intelligence, will emerge as de novo translational success in electronic skin. Here, we review the updates with regard to piezoresistive sensors including basic fundamentals, design and fabrication, and device performance. We also discuss the prosperous advances in piezoresistive sensor application, which offer perspectives for future electronic skin.

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Cited by 29 publications
(14 citation statements)
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“…Percolation characteristics are ubiquitous in particle-filled polymer composites [ 30 ], which are related to the properties of conductive fillers, such as aspect ratio, conductivity, dispersion, etc. To evaluate the conductivity of the MWCNT/PDMS layer, a series of samples were prepared with a gradient increase of the MWCNT content from 2 wt% to 20 wt%; the percolation curve is shown in Figure 4 a.…”
Section: Resultsmentioning
confidence: 99%
“…Percolation characteristics are ubiquitous in particle-filled polymer composites [ 30 ], which are related to the properties of conductive fillers, such as aspect ratio, conductivity, dispersion, etc. To evaluate the conductivity of the MWCNT/PDMS layer, a series of samples were prepared with a gradient increase of the MWCNT content from 2 wt% to 20 wt%; the percolation curve is shown in Figure 4 a.…”
Section: Resultsmentioning
confidence: 99%
“…Wearable healthcare devices enabled by flexible electronics and photonics technology have been devoted to remarkable attraction in human physiological and behavioral monitoring, which are characterized by flexibility, portability, durability, and comfortableness. [1][2][3][4][5] Attaching wearable devices to the cloth or skin can directly obtain signal feedback synchronized with human motion, achieving real-time monitoring of the motion behaviors. As a sustainable energy harvesting device, a triboelectric nanogenerator (TENG) can transfer various kinds of green energy (e.g., wind, wave, vibration, or human mechanical motion) into output electrical signals, which can be beneficial to get rid of the battery power supplies and realize self-powered tactile sensing, [6,7] motion recognition, [8,9] human-machine interfacing, [10,11] and disease diagnosis.…”
Section: Introductionmentioning
confidence: 99%
“…Flexible pressure sensors can continuously convert mechanical signals into machine-recognizable electrical data, which makes them valuable for wearable artificial intelligence and human− machine interfaces. 1−5 Compared to capacitive, 6,7 piezoelectric, 8,9 and triboelectric 10,11 pressure sensors, flexible piezoresistive sensors 12,13 have received increasing attention due to their simple fabrication process, low cost, and easy signal detection. 14 Furthermore, compared with conventional piezoresistive sensors (hybrid conductive elastomers), which respond to external stimuli through tunneling resistance variations, 15 contact resistive-based sensors based on Holm's theory 16 have demonstrated better repeatability, a faster response time, and higher sensitivity in low-pressure regions.…”
Section: Introductionmentioning
confidence: 99%
“…Flexible pressure sensors can continuously convert mechanical signals into machine-recognizable electrical data, which makes them valuable for wearable artificial intelligence and human–machine interfaces. Compared to capacitive, , piezoelectric, , and triboelectric , pressure sensors, flexible piezoresistive sensors , have received increasing attention due to their simple fabrication process, low cost, and easy signal detection . Furthermore, compared with conventional piezoresistive sensors (hybrid conductive elastomers), which respond to external stimuli through tunneling resistance variations, contact resistive-based sensors based on Holm’s theory have demonstrated better repeatability, a faster response time, and higher sensitivity in low-pressure regions. , Studies have observed a relationship between the contact resistance, the properties of the active layers (resistivity, roughness, and elastic properties), and the applied pressure [ R c ∝ ρ K / F , K = f ( R a , E )]. , Therefore, the intrinsic characteristics of the active layers, such as mechanical ductility, conductivity, and surface structure, are considered to be critical for the performance of contact-resistive pressure sensors.…”
Section: Introductionmentioning
confidence: 99%