Bioinspired, Self-Powered, and Highly Sensitive Electronic Skin for Sensing Static and Dynamic Pressures

Sun, Qijun; Zhao, Xinhua; Yeung, Chi‐Chung; Tian, Qiong; Kong, Ka Wai; Wu, Wei; Venkatesh, S.; Li, Wen-Jung; Roy, Vellaisamy A. L.

doi:10.1021/acsami.0c10788

Cited by 42 publications

(21 citation statements)

References 62 publications

(132 reference statements)

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“…Recently, the development of exible and wearable sensors (FWSs) has been in high demand for electronic skin, humancomputer interfaces, so robotics, healthcare monitoring, and biomedical diagnostics. [1][2][3][4][5][6][7][8][9] Capacitive pressure sensors (CPSs), which are generally considered as a parallel plate capacitor consisting of a top/bottom electrode and a dielectric layer, have become an attractive type of FWS due to their advantages of simple structure fabrication, low power consumption, negligible temperature uctuation, fast response, and excellent stability. [10][11][12][13][14] However, the low sensitivity and narrow detection range are still limiting the overall performance and further applications of CPSs.…”

Section: Introductionmentioning

confidence: 99%

Natural bamboo leaves as dielectric layers for flexible capacitive pressure sensors with adjustable sensitivity and a broad detection range

et al. 2021

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Section: Introductionmentioning

confidence: 99%

Natural bamboo leaves as dielectric layers for flexible capacitive pressure sensors with adjustable sensitivity and a broad detection range

et al. 2021

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“…Flexible electronics, which are portable and practicable, have flourished in recent decades [ 1 ]. Electronic skin (e-skin), which is flexible, can transduce mechanical or physical stimulations into recognizable electronic data for analysis and readout [ 2 – 4 ], showing great potential application in robotics and bioelectronics [ 5 – 13 ]. In an attempt to realize degrees of softness and comfort close to those of the human skin, chemically synthesized polymer materials with flexibility and stretchability need to be developed via complex machine processing [ 14 – 16 ].…”

Section: Introductionmentioning

confidence: 99%

A Scalable Bacterial Cellulose Ionogel for Multisensory Electronic Skin

et al. 2022

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Electronic skin (e-skin), a new generation of flexible electronics, has drawn interest in soft robotics, artificial intelligence, and biomedical devices. However, most existing e-skins involve complex preparation procedures and are characterized by single-sensing capability and insufficient scalability. Here, we report on a one-step strategy in which a thermionic source is used for the in situ molecularization of bacterial cellulose polymeric fibers into molecular chains, controllably constructing an ionogel with a scalable mode for e-skin. The synergistic effect of a molecular-scale hydrogen bond interweaving network and a nanoscale fiber skeleton confers a robust tensile strength (up to 7.8 MPa) and high ionic conductivity (up to 62.58 mS/cm) on the as-developed ionogel. Inspired by the tongue to engineer the perceptual patterns in this ionogel, we present a smart e-skin with the perfect combination of excellent ion transport and discriminability, showing six stimulating responses to pressure, touch, temperature, humidity, magnetic force, and even astringency. This study proposes a simple, efficient, controllable, and sustainable approach toward a low-carbon, versatile, and scalable e-skin design and structure–performance development.

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“…Here in this work, we demonstrate a self-powered hybrid coder (SHC) based on TENG as a multifunctional human-machine interface. Compared with other reported TENG-based coding devices, [41][42][43][44][45] the SHC has two working modes: single-electrode mode and contact-separation mode, which can convert two action signals of finger touch and press into two different coding formats, Morse code and Gray code. The unique generation method of hybrid signal determines the particularity of coding definitions, which forms an integrated coding platform for hybrid transmission of multiple coded signals.…”

Section: Introductionmentioning

confidence: 99%

A Self‐Powered Triboelectric Hybrid Coder for Human–Machine Interaction

Cao

Yang

et al. 2022

Small Methods

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interaction platforms that improve the quality of life and work have been derived, such as smartphones, [5] robots, [6][7][8] virtual reality, [9][10][11] wearable electronics, [12][13][14] and so on. Therein, the human-machine interface plays the role of a bridge between human civilization and the digital world. [15] One of the foundations of the humanmachine interface is sensors with multiple functions, which recognize the physiological indicators or physical parameters of the human body and convert them into electronic signals for transmission, such as fingerprint features, [16] strain, [17] vibration, [18] and inertia. [19] These sensors can accurately feedback instantaneous information, but few of them have achieved detecting multiple parameters. To achieve multi-parameter monitoring and interaction, a general approach is increasing the number of the devices, however, this will increase the energy consumption and the additional volume.Meanwhile, some alternative methods have been demonstrated to realize a more efficient human-machine interface, among them self-powered devices. [20] The self-powered devices are based on piezoelectric or triboelectric effects, which can convert external force into electricity directly. [21] In other words, they are able to act as selfpowered interfaces to transfer human mechanical signals intoHuman-machine interfaces have penetrated various academia and industry fields such as smartphones, robotic, virtual reality, and wearable electronics, due to their abundant functional sensors and information interaction methods. Nevertheless, most sensors' complex structural design, monotonous parameter detection capability, and single information coding communication hinder their rapid development. As the frontier of self-powered sensors, the triboelectric nanogenerator (TENG) has multiple working modes and high structural adaptability, which is a potential solution for multi-parameter sensing and miniaturizing of traditional interactive electronic devices. Herein, a self-powered hybrid coder (SHC) based on TENG is reported to encode two action parameters of touch and press, which can be used as a smart interface for human-machine interaction. The top-down hollow structure of the SHC, not only constructs a compositing mode to generate stable touch and press signals but also builds a hybrid coding platform for generating action codes in synergy mode. When a finger touches or presses the SHC, Morse code and Gray code can be transmitted for text information or remote control of electric devices. This self-powered coder is of reference value for designing an alternative human-machine interface and having the potential to contribute to the next generation of highly integrated portable smart electronics.The ORCID identification number(s) for the author(s) of this article can be found under https://doi.org/10.1002/smtd.202101529.

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Bioinspired, Self-Powered, and Highly Sensitive Electronic Skin for Sensing Static and Dynamic Pressures

Cited by 42 publications

References 62 publications

Natural bamboo leaves as dielectric layers for flexible capacitive pressure sensors with adjustable sensitivity and a broad detection range

Natural bamboo leaves as dielectric layers for flexible capacitive pressure sensors with adjustable sensitivity and a broad detection range

A Scalable Bacterial Cellulose Ionogel for Multisensory Electronic Skin

A Self‐Powered Triboelectric Hybrid Coder for Human–Machine Interaction

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