Volume 6, Issue 3 2101529
Research Article

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

Yu Cao

Yu Cao

Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning, 530004 China

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Yuan Yang

Yuan Yang

Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China

School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049 China

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Xuecheng Qu

Xuecheng Qu

Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China

School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049 China

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Bojing Shi

Corresponding Author

Bojing Shi

Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China

Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191 China

E-mail: [email protected]; [email protected]; [email protected]

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Lingling Xu

Lingling Xu

Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China

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Jiangtao Xue

Jiangtao Xue

Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China

Institute of Engineering Medicine, Beijing Institute of technology, Beijing, 100081 China

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Chan Wang

Chan Wang

Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China

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Yuan Bai

Yuan Bai

Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning, 530004 China

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Yansong Gai

Yansong Gai

Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning, 530004 China

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Dan Luo

Corresponding Author

Dan Luo

Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China

E-mail: [email protected]; [email protected]; [email protected]

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Zhou Li

Corresponding Author

Zhou Li

Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China

Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning, 530004 China

School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, 100049 China

Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101 China

E-mail: [email protected]; [email protected]; [email protected]

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First published: 27 January 2022
Citations: 39

Abstract

Human–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.

Conflict of Interest

The authors declare no conflict of interest.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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