Nature Communications (Feb 2024)

Vision-driven metasurfaces for perception enhancement

  • Tianshuo Qiu,
  • Qiang An,
  • Jianqi Wang,
  • Jiafu Wang,
  • Cheng-Wei Qiu,
  • Shiyong Li,
  • Hao Lv,
  • Ming Cai,
  • Jianyi Wang,
  • Lin Cong,
  • Shaobo Qu

DOI
https://doi.org/10.1038/s41467-024-45296-x
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 12

Abstract

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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.