Nano-Micro Letters, Volume. 16, Issue 1, 014(2024)

Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses

Tianming Sun1...2,†, Bin Feng1,†, Jinpeng Huo1, Yu Xiao1, Wengan Wang1, Jin Peng1, Zehua Li1, Chengjie Du1, Wenxian Wang2,*, Guisheng Zou1,** and Lei Liu1,*** |Show fewer author(s)
Author Affiliations
  • 1Department of Mechanical Engineering, State Key Laboratory of Tribology in Advanced Equipment, Key Laboratory for Advanced Manufacturing by Materials Processing Technology, Ministry of Education of PR China, Tsinghua University, Beijing 100084, People’s Republic of China
  • 2College of Materials Science and Engineering, Shanxi Province, Taiyuan University of Technology, Taiyuan 030024, People’s Republic of China
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    The recent wave of the artificial intelligence (AI) revolution has aroused unprecedented interest in the intelligentialize of human society. As an essential component that bridges the physical world and digital signals, flexible sensors are evolving from a single sensing element to a smarter system, which is capable of highly efficient acquisition, analysis, and even perception of vast, multifaceted data. While challenging from a manual perspective, the development of intelligent flexible sensing has been remarkably facilitated owing to the rapid advances of brain-inspired AI innovations from both the algorithm (machine learning) and the framework (artificial synapses) level. This review presents the recent progress of the emerging AI-driven, intelligent flexible sensing systems. The basic concept of machine learning and artificial synapses are introduced. The new enabling features induced by the fusion of AI and flexible sensing are comprehensively reviewed, which significantly advances the applications such as flexible sensory systems, soft/humanoid robotics, and human activity monitoring. As two of the most profound innovations in the twenty-first century, the deep incorporation of flexible sensing and AI technology holds tremendous potential for creating a smarter world for human beings.

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    Tianming Sun, Bin Feng, Jinpeng Huo, Yu Xiao, Wengan Wang, Jin Peng, Zehua Li, Chengjie Du, Wenxian Wang, Guisheng Zou, Lei Liu. Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses[J]. Nano-Micro Letters, 2024, 16(1): 014

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    Paper Information

    Category: Research Articles

    Received: Jun. 26, 2023

    Accepted: Sep. 24, 2023

    Published Online: Jan. 23, 2025

    The Author Email: Wang Wenxian (wangwenxian@tyut.edu.cn), Zou Guisheng (zougsh@tsinghua.edu.cn), Liu Lei (liulei@tsinghua.edu.cn)

    DOI:10.1007/s40820-023-01235-x

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