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Machine Learning-Enhanced Flexible Mechanical Sensing

Authors :
Yuejiao Wang
Mukhtar Lawan Adam
Yunlong Zhao
Weihao Zheng
Libo Gao
Zongyou Yin
Haitao Zhao
Source :
Nano-Micro Letters, Vol 15, Iss 1, Pp 1-33 (2023)
Publication Year :
2023
Publisher :
SpringerOpen, 2023.

Abstract

Highlights The latest progress on the integration of flexible mechanical sensing platforms with machine learning (ML) is reviewed. The advantages, challenges, and future perspectives of the application of ML to intelligent flexible mechanical sensing technology are discussed. The fundamental working mechanisms and common types of flexible mechanical sensors are reviewed.

Details

Language :
English
ISSN :
23116706 and 21505551
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nano-Micro Letters
Publication Type :
Academic Journal
Accession number :
edsdoj.f4c4943226144c09bfb4de7266e76a9
Document Type :
article
Full Text :
https://doi.org/10.1007/s40820-023-01013-9