• Nano-Micro Letters
  • Vol. 15, Issue 1, 233 (2023)
Ziyi Zhao1、†, Zhentan Quan2、†, Huaze Tang1、†, Qinghao Xu1, Hongfa Zhao1, Zihan Wang1, Ziwu Song1, Shoujie Li1, Ishara Dharmasena3, Changsheng Wu4, and Wenbo Ding1、5、*
Author Affiliations
  • 1Tsinghua-Berkeley Shenzhen Institute, Institute of Data and Information, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, People’s Republic of China
  • 2Institute of Ocean Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, People’s Republic of China
  • 3Wolfson School of Mechanical Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK
  • 4Department of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore
  • 5RISC-V International Open Source Laboratory, 518055, Shenzhen, People’s Republic of China
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    DOI: 10.1007/s40820-023-01201-7 Cite this Article
    Ziyi Zhao, Zhentan Quan, Huaze Tang, Qinghao Xu, Hongfa Zhao, Zihan Wang, Ziwu Song, Shoujie Li, Ishara Dharmasena, Changsheng Wu, Wenbo Ding. A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition[J]. Nano-Micro Letters, 2023, 15(1): 233 Copy Citation Text show less

    Abstract

    With the development of artificial intelligence, stiffness sensors are extensively utilized in various fields, and their integration with robots for automated palpation has gained significant attention. This study presents a broad range self-powered stiffness sensor based on the triboelectric nanogenerator (Stiff-TENG) for variable inclusions in soft objects detection. The Stiff-TENG employs a stacked structure comprising an indium tin oxide film, an elastic sponge, a fluorinated ethylene propylene film with a conductive ink electrode, and two acrylic pieces with a shielding layer. Through the decoupling method, the Stiff-TENG achieves stiffness detection of objects within 1.0 s. The output performance and characteristics of the TENG for different stiffness objects under 4 mm displacement are analyzed. The Stiff-TENG is successfully used to detect the heterogeneous stiffness structures, enabling effective recognition of variable inclusions in soft object, reaching a recognition accuracy of 99.7%. Furthermore, its adaptability makes it well-suited for the detection of pathological conditions within the human body, as pathological tissues often exhibit changes in the stiffness of internal organs. This research highlights the innovative applications of TENG and thereby showcases its immense potential in healthcare applications such as palpation which assesses pathological conditions based on organ stiffness.
    Ziyi Zhao, Zhentan Quan, Huaze Tang, Qinghao Xu, Hongfa Zhao, Zihan Wang, Ziwu Song, Shoujie Li, Ishara Dharmasena, Changsheng Wu, Wenbo Ding. A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition[J]. Nano-Micro Letters, 2023, 15(1): 233
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