Triboelectric nanogenerator based self-powered sensor for artificial intelligence
By Yuankai Zhou, Maoliang Shen, Xin Cui, Yicheng Shao, Lijie Li, Yan Zhang. Nano Energy, 2021
301 citations recorded by the source corpus.
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.
Subfields: Biomedical Engineering, Polymers and Plastics
View Paper: https://www.semanticscholar.org/paper/9a152ce108907947a61695fbaa89e0a0abead097
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In Biomedical Engineering
In Polymers and Plastics
Citations in the corpus
- Multidiscipline Applications of Triboelectric Nanogenerators for the Intelligent Era of Internet of Things (2022, background): “Zhou et al. discussed the application prospects of AI-assisted self-powered sensors in intelligent motion, security, touch control, and document management systems [27].”