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Concealed wireless warning sensor based on triboelectrification and human-plant interactive induction. / Feng, Yange; Benassi, Enrico; Zhang, Liqiang et al.

In: Research, Vol. 2021, 9870936, 22.05.2021.

Research output: Contribution to journal › Article › peer-review

Harvard

Feng, Y, Benassi, E, Zhang, L, Li, X, Wang, D, Zhou, F & Liu, W 2021, 'Concealed wireless warning sensor based on triboelectrification and human-plant interactive induction', Research, vol. 2021, 9870936. https://doi.org/10.34133/2021/9870936

APA

Feng, Y., Benassi, E., Zhang, L., Li, X., Wang, D., Zhou, F., & Liu, W. (2021). Concealed wireless warning sensor based on triboelectrification and human-plant interactive induction. Research, 2021, [9870936]. https://doi.org/10.34133/2021/9870936

Vancouver

Feng Y, Benassi E, Zhang L, Li X, Wang D, Zhou F et al. Concealed wireless warning sensor based on triboelectrification and human-plant interactive induction. Research. 2021 May 22;2021:9870936. doi: 10.34133/2021/9870936

Author

Feng, Yange ; Benassi, Enrico ; Zhang, Liqiang et al. / Concealed wireless warning sensor based on triboelectrification and human-plant interactive induction. In: Research. 2021 ; Vol. 2021.

BibTeX

@article{430fb0dd41cd4571a90c7a36a8698de1,
title = "Concealed wireless warning sensor based on triboelectrification and human-plant interactive induction",
abstract = "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.",
author = "Yange Feng and Enrico Benassi and Liqiang Zhang and Xiaojuan Li and Daoai Wang and Feng Zhou and Weimin Liu",
note = "Funding Information: 4.1. Materials. A green plant (Pachira macrocarpa) was purchased from a local market. The Ti sheet (99.99%) was purchased from ZhongNuo Advanced Material (Beijing) Technology Co., Ltd., China. The online real-time notification system is supported by the MiJia App (Xiaomi Technology Co., Ltd., China). The wireless signal transmitter and wireless signal receiver are modified by Linptech smart doorbell (Wuhan Linptech Co., Ltd., China). Funding Information: The authors thank the financial support from the NSFC (Nos. 51905518, 51722510), the Program for Taishan Scholar Foundation of Shandong Province (No. ts20190965), and the Innovation Leading Talents Program of Qingdao (19-3-2-23-zhc) in China. The authors are grateful to the Siberian Supercomputer Center of the Institute of Computational Mathematics and Mathematical Geophysics (Russian Academy of Sciences, Novosibirsk, Russian Federation) for kindly providing the computational resources; the technical staff of the Institute is also thanked for their assistance. EB expresses his gratitude to the Novosibirsk State University, and to the 5-100 Excellence Program of the Russian Ministry of Education and Science. Publisher Copyright: Copyright {\textcopyright} 2021 Yange Feng et al. Exclusive Licensee Science and Technology Review Publishing House. Distributed under a Creative Commons Attribution License (CC BY 4.0).",
year = "2021",
month = may,
day = "22",
doi = "10.34133/2021/9870936",
language = "English",
volume = "2021",
journal = "Research",
issn = "2639-5274",
publisher = "American Association for the Advancement of Science",

}

RIS

TY - JOUR

T1 - Concealed wireless warning sensor based on triboelectrification and human-plant interactive induction

AU - Feng, Yange

AU - Benassi, Enrico

AU - Zhang, Liqiang

AU - Li, Xiaojuan

AU - Wang, Daoai

AU - Zhou, Feng

AU - Liu, Weimin

N1 - Funding Information: 4.1. Materials. A green plant (Pachira macrocarpa) was purchased from a local market. The Ti sheet (99.99%) was purchased from ZhongNuo Advanced Material (Beijing) Technology Co., Ltd., China. The online real-time notification system is supported by the MiJia App (Xiaomi Technology Co., Ltd., China). The wireless signal transmitter and wireless signal receiver are modified by Linptech smart doorbell (Wuhan Linptech Co., Ltd., China). Funding Information: The authors thank the financial support from the NSFC (Nos. 51905518, 51722510), the Program for Taishan Scholar Foundation of Shandong Province (No. ts20190965), and the Innovation Leading Talents Program of Qingdao (19-3-2-23-zhc) in China. The authors are grateful to the Siberian Supercomputer Center of the Institute of Computational Mathematics and Mathematical Geophysics (Russian Academy of Sciences, Novosibirsk, Russian Federation) for kindly providing the computational resources; the technical staff of the Institute is also thanked for their assistance. EB expresses his gratitude to the Novosibirsk State University, and to the 5-100 Excellence Program of the Russian Ministry of Education and Science. Publisher Copyright: Copyright © 2021 Yange Feng et al. Exclusive Licensee Science and Technology Review Publishing House. Distributed under a Creative Commons Attribution License (CC BY 4.0).

PY - 2021/5/22

Y1 - 2021/5/22

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85106371982&partnerID=8YFLogxK

U2 - 10.34133/2021/9870936

DO - 10.34133/2021/9870936

M3 - Article

C2 - 34013208

AN - SCOPUS:85106371982

VL - 2021

JO - Research

JF - Research

SN - 2639-5274

M1 - 9870936

ER -

ID: 34054651