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Review Article

Bioinspired nanomaterials for wearable sensing and human–machine interfacing

Vishesh Kashyap1,2Junyi Yin1Xiao Xiao1Jun Chen1 ( )
Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
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Abstract

The inculcation of bioinspiration in sensing and human–machine interface (HMI) technologies can lead to distinctive characteristics such as conformability, low power consumption, high sensitivity, and unique properties like self-healing, self-cleaning, and adaptability. Both sensing and HMI are fields rife with opportunities for the application of bioinspired nanomaterials, particularly when it comes to wearable sensory systems where biocompatibility is an additional requirement. This review discusses recent development in bioinspired nanomaterials for wearable sensing and HMIs, with a specific focus on state-of-the-art bioinspired capacitive sensors, piezoresistive sensors, piezoelectric sensors, triboelectric sensors, magnetoelastic sensors, and electrochemical sensors. We also present a comprehensive overview of the challenges that have hindered the scientific advancement in academia and commercialization in the industry.

Graphical Abstract

This review discusses the recent progress in bioinspired nanomaterials for wearable sensing and human–machine interfacing, with a focus on state-of-the-art platform technologies, including capacitive sensors, piezoresistive sensors, piezoelectric sensors, triboelectric sensors, sensors, and electrochemical sensors. We also present a comprehensive overview of the challenges that have hindered the scientific advancement and commercialization.

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Nano Research
Pages 445-461

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Cite this article:
Kashyap V, Yin J, Xiao X, et al. Bioinspired nanomaterials for wearable sensing and human–machine interfacing. Nano Research, 2024, 17(2): 445-461. https://doi.org/10.1007/s12274-023-5725-8
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Received: 20 February 2023
Revised: 30 March 2023
Accepted: 09 April 2023
Published: 26 July 2023
© Tsinghua University Press 2023