Programmable Triboelectric Origami Sensors for Multidimensional Pressure Monitoring.

Journal: Nano letters
Published Date:

Abstract

Sensors with multidimensional pressure sensing capabilities have attracted extensive interest for applications in wearable electronics and human-computer interaction. However, conventional film-based materials struggle to achieve directional stress perception and exhibit limited sensitivity. Inspired by origami, this work integrates self-folding with composite loading to construct programmable 3D origami sensors. The design enables flexible assembly of multichannel sensing matrices, converting single-point signals into multidimensional responses that simultaneously acquire stress intensity and directional information. Coupled with deep learning algorithms, the origami sensor achieves a recognition accuracy of 97.8%. Furthermore, structural design augments the sensor's responsive performance, with a sensitivity approximately 130 times higher than that of the substrate material, while its output power density rivals that of various advanced sensors. This study overcomes the inherent limitations of traditional films in directional stress sensing and holds profound significance for the advancement of wearable electronics and intelligent robotics.

Authors

  • Tao Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Rongrong Liang
    Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, School of Light Industry and Food Engineering, Guangxi University, Nanning, 530004, China.
  • Yaping Zeng
    Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, School of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
  • Huanjie He
    Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, School of Light Industry and Food Engineering, Guangxi University, Nanning, 530004, China.
  • Kang Yu
    Precision Agriculture Lab, School of Life Sciences, Technical University of Munich, Freising, Germany.
  • Mingchao Chi
    Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, School of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
  • Jinlong Wang
  • Qiguan Luo
    Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, School of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.
  • Lijun Wang
    Department of Stomatology, The Third Medical Center Chinese PLA General Hospital Beijing China.
  • Dengjun Lu
    School of Light Industry and Food Engineering, Guangxi University Nanning 530004 People's Republic of China [email protected].
  • Shuangxi Nie
    Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, School of Light Industry and Food Engineering, Guangxi University, Nanning, 530004, China.

Keywords

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