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Triboelectric nanogenerator based self-powered sensor for artificial intelligence

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

Nano Energy, Volume: 84, Start page: 105887

Swansea University Author: Lijie Li Orcid Logo

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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...

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Published in: Nano Energy
ISSN: 2211-2855
Published: Elsevier BV 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa56257
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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.
Keywords: Triboelectric Nanogenerator, Self-powered sensor, Artificial intelligence, Machine learning, Internet of things
College: Faculty of Science and Engineering
Start Page: 105887