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Concealed Wireless Warning Sensor Based on Triboelectrification and Human-Plant Interactive Induction

With the continuous development of artificial intelligence, the demand for sensors with simple preparation and strong concealment continues to increase. However, most of the high-sensitivity sensors have complex manufacturing methods, high costs, and single functions. In this paper, a sensitive moti...

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Detalles Bibliográficos
Autores principales: Feng, Yange, Benassi, Enrico, Zhang, Liqiang, Li, Xiaojuan, Wang, Daoai, Zhou, Feng, Liu, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106444/
https://www.ncbi.nlm.nih.gov/pubmed/34013208
http://dx.doi.org/10.34133/2021/9870936
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author Feng, Yange
Benassi, Enrico
Zhang, Liqiang
Li, Xiaojuan
Wang, Daoai
Zhou, Feng
Liu, Weimin
author_facet Feng, Yange
Benassi, Enrico
Zhang, Liqiang
Li, Xiaojuan
Wang, Daoai
Zhou, Feng
Liu, Weimin
author_sort Feng, Yange
collection PubMed
description With the continuous development of artificial intelligence, the demand for sensors with simple preparation and strong concealment continues to increase. However, most of the high-sensitivity sensors have complex manufacturing methods, high costs, and single functions. In this paper, a sensitive motion sensor based on the triboelectric interaction between a living plant and the human body was designed to detect the real-time movements of human beings and provide danger warning. A certain relationship exists between the triboelectric signal and the distance between the plant and the human body, with effective signals being detected in the range of 1.8 m. In addition, the triboelectric signal generated by each person is unique like a fingerprint, which can be used for biometrics. On the basis of the triboelectric signal, a wireless character entry warning system is designed. This sensor can not only send out a wireless warning signal at a specific distance but also allow one to receive the warning information synchronously on a mobile phone in real time. The wireless movement sensor receives signals through a living plant, and it has the characteristics of convenient use, strong concealment, and shielding difficulty. This sensor has the potential to be widely used in person recognition, danger warning, and motion monitoring.
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spelling pubmed-81064442021-05-18 Concealed Wireless Warning Sensor Based on Triboelectrification and Human-Plant Interactive Induction Feng, Yange Benassi, Enrico Zhang, Liqiang Li, Xiaojuan Wang, Daoai Zhou, Feng Liu, Weimin Research (Wash D C) Research Article With the continuous development of artificial intelligence, the demand for sensors with simple preparation and strong concealment continues to increase. However, most of the high-sensitivity sensors have complex manufacturing methods, high costs, and single functions. In this paper, a sensitive motion sensor based on the triboelectric interaction between a living plant and the human body was designed to detect the real-time movements of human beings and provide danger warning. A certain relationship exists between the triboelectric signal and the distance between the plant and the human body, with effective signals being detected in the range of 1.8 m. In addition, the triboelectric signal generated by each person is unique like a fingerprint, which can be used for biometrics. On the basis of the triboelectric signal, a wireless character entry warning system is designed. This sensor can not only send out a wireless warning signal at a specific distance but also allow one to receive the warning information synchronously on a mobile phone in real time. The wireless movement sensor receives signals through a living plant, and it has the characteristics of convenient use, strong concealment, and shielding difficulty. This sensor has the potential to be widely used in person recognition, danger warning, and motion monitoring. AAAS 2021-04-29 /pmc/articles/PMC8106444/ /pubmed/34013208 http://dx.doi.org/10.34133/2021/9870936 Text en Copyright © 2021 Yange Feng et al. https://creativecommons.org/licenses/by/4.0/Exclusive Licensee Science and Technology Review Publishing House. Distributed under a Creative Commons Attribution License (CC BY 4.0).
spellingShingle Research Article
Feng, Yange
Benassi, Enrico
Zhang, Liqiang
Li, Xiaojuan
Wang, Daoai
Zhou, Feng
Liu, Weimin
Concealed Wireless Warning Sensor Based on Triboelectrification and Human-Plant Interactive Induction
title Concealed Wireless Warning Sensor Based on Triboelectrification and Human-Plant Interactive Induction
title_full Concealed Wireless Warning Sensor Based on Triboelectrification and Human-Plant Interactive Induction
title_fullStr Concealed Wireless Warning Sensor Based on Triboelectrification and Human-Plant Interactive Induction
title_full_unstemmed Concealed Wireless Warning Sensor Based on Triboelectrification and Human-Plant Interactive Induction
title_short Concealed Wireless Warning Sensor Based on Triboelectrification and Human-Plant Interactive Induction
title_sort concealed wireless warning sensor based on triboelectrification and human-plant interactive induction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106444/
https://www.ncbi.nlm.nih.gov/pubmed/34013208
http://dx.doi.org/10.34133/2021/9870936
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