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Nanogenerator-based self-powered sensors for data collection.

Yicheng ShaoMaoliang ShenYuankai ZhouXin CuiLijie LiYan Zhang
Published in: Beilstein journal of nanotechnology (2021)
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.
Keyphrases
  • big data
  • artificial intelligence
  • electronic health record
  • machine learning
  • low cost
  • data analysis
  • heart rate
  • human health
  • climate change
  • life cycle