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Triboelectric nanogenerator based self-powered sensor for artificial intelligence
Nano Energy, Volume: 84, Start page: 105887
Swansea University Author:
Lijie Li
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DOI (Published version): 10.1016/j.nanoen.2021.105887
Abstract
Triboelectric nanogenerator based sensor has excellent material compatibility, low cost, and flexibility, which is a unique candidate technology for artificial intelligence. Triboelectric nanogenerators effectively provide critical infrastructure for new generation of sensing systems that collect in...
Published in: | Nano Energy |
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ISSN: | 2211-2855 2211-3282 |
Published: |
Elsevier BV
2021
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa56257 |
Abstract: |
Triboelectric nanogenerator based sensor has excellent material compatibility, low cost, and flexibility, which is a unique candidate technology for artificial intelligence. Triboelectric nanogenerators effectively provide critical infrastructure for new generation of sensing systems that collect information by large amounts of self-powered sensors. This review mainly discusses capability and prospect of triboelectric nanogenerators being applied to intelligent sports, security, touch control, and document management systems. The above fields have paid increasing attention in artificial intelligence technologies, such as machine learning, big data processing and cloud computing, demanding huge amount of sensors and complicated sensors network. |
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Keywords: |
Triboelectric Nanogenerator, Self-powered sensor, Artificial intelligence, Machine learning, Internet of things |
College: |
Faculty of Science and Engineering |
Funders: |
The authors are thankful for the support from University of Electronic Science and Technology of China (ZYGX2015KYQD063), Swansea University, SPARC II project, and Thousand Talents program for a pioneer researcher and his innovation team, China. |
Start Page: |
105887 |