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Nanogenerator-based self-powered sensors for data collection

Yicheng Shao, Maoliang Shen, Yuankai Zhou, Xin Cui, Lijie Li Orcid Logo, Yan Zhang

Beilstein Journal of Nanotechnology, Volume: 12, Pages: 680 - 693

Swansea University Author: Lijie Li Orcid Logo

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DOI (Published version): 10.3762/bjnano.12.54

Abstract

Self-powered sensors can provide energy and environmental data for applications regarding the Internet of Things, big data, and artificial intelligence. Nanogenerators provide excellent material compatibility, which also leads to a rich variety of nanogenerator-based self-powered sensors. This artic...

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Published in: Beilstein Journal of Nanotechnology
ISSN: 2190-4286
Published: Beilstein Institut 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa57287
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Abstract: Self-powered sensors can provide energy and environmental data for applications regarding the Internet of Things, big data, and artificial intelligence. Nanogenerators provide excellent material compatibility, which also leads to a rich variety of nanogenerator-based self-powered sensors. This article reviews the development of nanogenerator-based self-powered sensors for the collection of human physiological data and external environmental data. Nanogenerator-based self-powered sensors can be designed to detect physiological data as wearable and implantable devices. Nanogenerator-based self-powered sensors are a solution for collecting data and expanding data dimensions in a future intelligent society. The future key challenges and potential solutions regarding nanogenerator-based self-powered sensors are discussed.
Keywords: data collection; Internet of Things; nanogenerator; self-powered sensor; wearable device
College: Faculty of Science and Engineering
Start Page: 680
End Page: 693