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Nanogenerator-based self-powered sensors for data collection
Beilstein Journal of Nanotechnology, Volume: 12, Pages: 680 - 693
Swansea University Author:
Lijie Li
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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...
| Published in: | Beilstein Journal of Nanotechnology |
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| ISSN: | 2190-4286 |
| Published: |
Beilstein Institut
2021
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa57287 |
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2021-07-08T18:40:26Z |
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| last_indexed |
2021-08-19T03:32:20Z |
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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 ACEM 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 Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM 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 |
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ed2c658b77679a28e4c1dcf95af06bd6 |
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ed2c658b77679a28e4c1dcf95af06bd6_***_Lijie Li |
| author |
Lijie Li |
| author2 |
Yicheng Shao Maoliang Shen Yuankai Zhou Xin Cui Lijie Li Yan Zhang |
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Journal article |
| container_title |
Beilstein Journal of Nanotechnology |
| container_volume |
12 |
| container_start_page |
680 |
| publishDate |
2021 |
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Swansea University |
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2190-4286 |
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10.3762/bjnano.12.54 |
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Beilstein Institut |
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Faculty of Science and Engineering |
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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 |
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| 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 |
2021-07-08T04:54:46Z |
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1856803371661393920 |
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11.095862 |

