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*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Article number1631
JournalNature Communications
Volume15
Issue number1
DOIs
Publication statusPublished - Dec 2024

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