IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-017-02685-9.html
   My bibliography  Save this article

Skin-inspired highly stretchable and conformable matrix networks for multifunctional sensing

Author

Listed:
  • Qilin Hua

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    Tsinghua University)

  • Junlu Sun

    (Chinese Academy of Sciences)

  • Haitao Liu

    (Chinese Academy of Sciences)

  • Rongrong Bao

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Ruomeng Yu

    (Georgia Institute of Technology)

  • Junyi Zhai

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Caofeng Pan

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Zhong Lin Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    Georgia Institute of Technology)

Abstract

Mechanosensation electronics (or Electronic skin, e-skin) consists of mechanically flexible and stretchable sensor networks that can detect and quantify various stimuli to mimic the human somatosensory system, with the sensations of touch, heat/cold, and pain in skin through various sensory receptors and neural pathways. Here we present a skin-inspired highly stretchable and conformable matrix network (SCMN) that successfully expands the e-skin sensing functionality including but not limited to temperature, in-plane strain, humidity, light, magnetic field, pressure, and proximity. The actualized specific expandable sensor units integrated on a structured polyimide network, potentially in three-dimensional (3D) integration scheme, can also fulfill simultaneous multi-stimulus sensing and achieve an adjustable sensing range and large-area expandability. We further construct a personalized intelligent prosthesis and demonstrate its use in real-time spatial pressure mapping and temperature estimation. Looking forward, this SCMN has broader applications in humanoid robotics, new prosthetics, human–machine interfaces, and health-monitoring technologies.

Suggested Citation

  • Qilin Hua & Junlu Sun & Haitao Liu & Rongrong Bao & Ruomeng Yu & Junyi Zhai & Caofeng Pan & Zhong Lin Wang, 2018. "Skin-inspired highly stretchable and conformable matrix networks for multifunctional sensing," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02685-9
    DOI: 10.1038/s41467-017-02685-9
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-017-02685-9
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-017-02685-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hengtian Zhu & Huan Yang & Siqi Xu & Yuanyuan Ma & Shugeng Zhu & Zhengyi Mao & Weiwei Chen & Zizhong Hu & Rongrong Pan & Yurui Xu & Yifeng Xiong & Ye Chen & Yanqing Lu & Xinghai Ning & Dechen Jiang & , 2024. "Frequency-encoded eye tracking smart contact lens for human–machine interaction," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Yijia Lu & Han Tian & Jia Cheng & Fei Zhu & Bin Liu & Shanshan Wei & Linhong Ji & Zhong Lin Wang, 2022. "Decoding lip language using triboelectric sensors with deep learning," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    3. Pengfei Xu & Shaojia Wang & Angela Lin & Hyun-Kee Min & Zhanfeng Zhou & Wenkun Dou & Yu Sun & Xi Huang & Helen Tran & Xinyu Liu, 2023. "Conductive and elastic bottlebrush elastomers for ultrasoft electronics," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    4. Shuo Li & Yong Zhang & Xiaoping Liang & Haomin Wang & Haojie Lu & Mengjia Zhu & Huimin Wang & Mingchao Zhang & Xinping Qiu & Yafeng Song & Yingying Zhang, 2022. "Humidity-sensitive chemoelectric flexible sensors based on metal-air redox reaction for health management," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    5. Haoran Jin & Zesheng Zheng & Zequn Cui & Ying Jiang & Geng Chen & Wenlong Li & Zhimin Wang & Jilei Wang & Chuanshi Yang & Weitao Song & Xiaodong Chen & Yuanjin Zheng, 2023. "A flexible optoacoustic blood ‘stethoscope’ for noninvasive multiparametric cardiovascular monitoring," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    6. Jin Pyo Lee & Hanhyeok Jang & Yeonwoo Jang & Hyeonseo Song & Suwoo Lee & Pooi See Lee & Jiyun Kim, 2024. "Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interface," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    7. Xueguang Lu & Feilong Zhang & Liguo Zhu & Shan Peng & Jiazhen Yan & Qiwu Shi & Kefan Chen & Xue Chang & Hongfu Zhu & Cheng Zhang & Wanxia Huang & Qiang Cheng, 2024. "A terahertz meta-sensor array for 2D strain mapping," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    8. Yufei Zhang & Qiuchun Lu & Jiang He & Zhihao Huo & Runhui Zhou & Xun Han & Mengmeng Jia & Caofeng Pan & Zhong Lin Wang & Junyi Zhai, 2023. "Localizing strain via micro-cage structure for stretchable pressure sensor arrays with ultralow spatial crosstalk," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    9. Sanwei Hao & Qingjin Fu & Lei Meng & Feng Xu & Jun Yang, 2022. "A biomimetic laminated strategy enabled strain-interference free and durable flexible thermistor electronics," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    10. Roberto de Fazio & Donato Cafagna & Giorgio Marcuccio & Alessandro Minerba & Paolo Visconti, 2020. "A Multi-Source Harvesting System Applied to Sensor-Based Smart Garments for Monitoring Workers’ Bio-Physical Parameters in Harsh Environments," Energies, MDPI, vol. 13(9), pages 1-33, May.
    11. Mahmoud Wagih & Junjie Shi & Menglong Li & Abiodun Komolafe & Thomas Whittaker & Johannes Schneider & Shanmugam Kumar & William Whittow & Steve Beeby, 2024. "Wide-range soft anisotropic thermistor with a direct wireless radio frequency interface," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    12. Linlin Li & Shufang Zhao & Wenhao Ran & Zhexin Li & Yongxu Yan & Bowen Zhong & Zheng Lou & Lili Wang & Guozhen Shen, 2022. "Dual sensing signal decoupling based on tellurium anisotropy for VR interaction and neuro-reflex system application," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02685-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.