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Vision-driven metasurfaces for perception enhancement

Author

Listed:
  • Tianshuo Qiu

    (Fourth Military Medical University
    Air Force Engineering University
    Southeast University)

  • Qiang An

    (Fourth Military Medical University)

  • Jianqi Wang

    (Fourth Military Medical University)

  • Jiafu Wang

    (Aerospace metamaterials laboratory of SuZhou National Laboratory)

  • Cheng-Wei Qiu

    (National University of Singapore)

  • Shiyong Li

    (Beijing Institute of Technology)

  • Hao Lv

    (Fourth Military Medical University)

  • Ming Cai

    (Air Force Engineering University)

  • Jianyi Wang

    (the First Affiliated Hospital of Xi’an Jiaotong University)

  • Lin Cong

    (Fourth Military Medical University)

  • Shaobo Qu

    (Aerospace metamaterials laboratory of SuZhou National Laboratory)

Abstract

Metasurfaces have exhibited unprecedented degree of freedom in manipulating electromagnetic (EM) waves and thus provide fantastic front-end interfaces for smart systems. Here we show a framework for perception enhancement based on vision-driven metasurface. Human’s eye movements are matched with microwave radiations to extend the humans’ perception spectrum. By this means, our eyes can “sense” visual information and invisible microwave information. Several experimental demonstrations are given for specific implementations, including a physiological-signal-monitoring system, an “X-ray-glasses” system, a “glimpse-and-forget” tracking system and a speech reception system for deaf people. Both the simulation and experiment results verify evident advantages in perception enhancement effects and improving information acquisition efficiency. This framework can be readily integrated into healthcare systems to monitor physiological signals and to offer assistance for people with disabilities. This work provides an alternative framework for perception enhancement and may find wide applications in healthcare, wearable devices, search-and-rescue and others.

Suggested Citation

  • Tianshuo Qiu & Qiang An & Jianqi Wang & Jiafu Wang & Cheng-Wei Qiu & Shiyong Li & Hao Lv & Ming Cai & Jianyi Wang & Lin Cong & Shaobo Qu, 2024. "Vision-driven metasurfaces for perception enhancement," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45296-x
    DOI: 10.1038/s41467-024-45296-x
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    References listed on IDEAS

    as
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    1. Pengshan Xie & Yunchao Xu & Jingwen Wang & Dengji Li & Yuxuan Zhang & Zixin Zeng & Boxiang Gao & Quan Quan & Bowen Li & You Meng & Weijun Wang & Yezhan Li & Yan Yan & Yi Shen & Jia Sun & Johnny C. Ho, 2024. "Birdlike broadband neuromorphic visual sensor arrays for fusion imaging," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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