Soft Human–Machine Interface with Triboelectric Patterns and Archimedes Spiral Electrodes for Enhanced Motion Detection

Guo, Hang; Wang, Haobin; Xiang, Zehua; Wu, Hao; Wan, Ji; Xu, Chen; Chen, Haotian; Han, Mengdi; Zhang, Haixia

doi:10.1002/adfm.202103075

Cited by 32 publications

(24 citation statements)

References 36 publications

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“…[155] Triboelectric sensors exhibit good properties such as low cost, high output performance, simple structural design, excellent versatility and sustainability, which brings new opportunities for future personal electronic products and self-driving systems. [156][157][158]…”

Section: Triboelectric Nanogenerator Sensorsmentioning

confidence: 99%

How Far for the Electronic Skin: From Multifunctional Material to Advanced Applications

Chen

Sun

Wei

et al. 2023

Adv Materials Technologies

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Electronic skin that imitates the characteristics and functions of human skin to sense various external signals and records them as different electrical signals has received extensive attention, and much effort has been made on electronic skin for potential medicine application. However, it still needs a long way to achieve practical applications for electronic skin as consumer electronics, the recent progress of electronic skin is reviewed. First, the crucial characteristics in practical electronic skin are analyzed. Subsequently, the technical supports that need to obtain practical electronic skin are also discussed, and electronic skin in terms of short‐term application, medium‐term application and long‐term application are introduced. Finally, suggestions for future development directions in this fascinating field are put forward.

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Section: Triboelectric Nanogenerator Sensorsmentioning

confidence: 99%

How Far for the Electronic Skin: From Multifunctional Material to Advanced Applications

Chen

Sun

Wei

et al. 2023

Adv Materials Technologies

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“…As an important member of the self-powered devices, triboelectric nanogenerator (TENG) has high structural adaptability and four basic working modes, attracting more and more attention from scholars. Some researchers have proposed the use of TENG to control portable electronic devices, including smart gloves, [31][32][33] electrodes with special patterns, [34][35][36][37] and flexible fabrics. [38][39][40] These studies have verified the efficiency and convenience of using TENG as a human-machine interface.…”

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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“…Triboelectric nanogenerators (TENGs) have become a promising solution for the creation of HMIs due to their energy autonomy, wide selection of materials, cost efficiency, and easy manufacturability. , Many advanced triboelectric sensor-based HMIs have been reported, including keyboards, − gloves, − glasses, − and electronic skins. − However, these HMIs are limited to a few buttons and functions, making it difficult to implement more complex interactive applications. Moreover, they are not implemented naturally or require an additional learning phase of operational instructions.…”

Section: Introductionmentioning

confidence: 99%

A Smart Pen Based on Triboelectric Effects for Handwriting Pattern Tracking and Biometric Identification

Feng

Wang

et al. 2022

ACS Appl. Mater. Interfaces

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The rapid development of artificial intelligence places high demands on human–machine interfaces. Various types of huma–machine interfaces have been implemented, including smart keyboards, electronic skins, and wearable motion sensors. Handwriting behavior has a high degree of interaction freedom, and handwriting characteristics offer high-security standards for human–machine systems. Herein, we propose a portable smart pen integrated with triboelectric displacement vector sensors to trace handwriting trajectories for human–machine interactions and biometric identification. A triboelectric pressure sensor array is evenly distributed along the pen case to sense displacement vectors, and an additional triboelectric sensor is placed on top of the pen to detect vertical force. By leveraging the resin pen refill as a tribopositive material and a nanowired polyethylene tribonegative layer attached to a Cu electrode, triboelectric signals are generated during the writing/moving process. The calculation and analysis of the sensor signals enable the recognition of handwritten patterns, including Latin letters and Arabic numerals. Moreover, the smart pen can be used to authenticate users based on their unique handwriting patterns, which can help take human–machine interfaces and cyber security to the next level. Furthermore, a custom smart pen operation mode that enables the control of a slide presentation demonstrates the smart pen’s potential for various human–machine interface applications.

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Soft Human–Machine Interface with Triboelectric Patterns and Archimedes Spiral Electrodes for Enhanced Motion Detection

Cited by 32 publications

References 36 publications

How Far for the Electronic Skin: From Multifunctional Material to Advanced Applications

How Far for the Electronic Skin: From Multifunctional Material to Advanced Applications

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

A Smart Pen Based on Triboelectric Effects for Handwriting Pattern Tracking and Biometric Identification

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