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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
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URI: https://cronfa.swan.ac.uk/Record/cronfa57287
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first_indexed 2021-07-08T18:40:26Z
last_indexed 2021-08-19T03:32:20Z
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spelling 2021-08-18T09:42:40.4164129 v2 57287 2021-07-08 Nanogenerator-based self-powered sensors for data collection ed2c658b77679a28e4c1dcf95af06bd6 0000-0003-4630-7692 Lijie Li Lijie Li true false 2021-07-08 EEEG 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. Journal Article Beilstein Journal of Nanotechnology 12 680 693 Beilstein Institut 2190-4286 data collection; Internet of Things; nanogenerator; self-powered sensor; wearable device 8 7 2021 2021-07-08 10.3762/bjnano.12.54 COLLEGE NANME Electronic and Electrical Engineering COLLEGE CODE EEEG Swansea University 2021-08-18T09:42:40.4164129 2021-07-08T19:39:35.6588626 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Yicheng Shao 1 Maoliang Shen 2 Yuankai Zhou 3 Xin Cui 4 Lijie Li 0000-0003-4630-7692 5 Yan Zhang 6 57287__20367__a35b4d729d374af7b04f568eee1ce476.pdf 2190-4286-12-54.pdf 2021-07-08T19:46:12.6643270 Output 10689298 application/pdf Version of Record true This is an Open Access article under the terms of the Creative Commons Attribution License true eng https://creativecommons.org/licenses/by/4.0
title Nanogenerator-based self-powered sensors for data collection
spellingShingle Nanogenerator-based self-powered sensors for data collection
Lijie Li
title_short Nanogenerator-based self-powered sensors for data collection
title_full Nanogenerator-based self-powered sensors for data collection
title_fullStr Nanogenerator-based self-powered sensors for data collection
title_full_unstemmed Nanogenerator-based self-powered sensors for data collection
title_sort Nanogenerator-based self-powered sensors for data collection
author_id_str_mv ed2c658b77679a28e4c1dcf95af06bd6
author_id_fullname_str_mv ed2c658b77679a28e4c1dcf95af06bd6_***_Lijie Li
author Lijie Li
author2 Yicheng Shao
Maoliang Shen
Yuankai Zhou
Xin Cui
Lijie Li
Yan Zhang
format Journal article
container_title Beilstein Journal of Nanotechnology
container_volume 12
container_start_page 680
publishDate 2021
institution Swansea University
issn 2190-4286
doi_str_mv 10.3762/bjnano.12.54
publisher Beilstein Institut
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
document_store_str 1
active_str 0
description 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.
published_date 2021-07-08T04:12:54Z
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score 11.016258

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