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Computer-Vision Based Gesture-Metasurface Interaction System for Beam Manipulation and Wireless Communication.

Yue Teng Chen^1,2, Hai Lin Wang^1,2, Shi Sun^1,2

¹State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, Nanjing, 210096, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|December 3, 2023

Summary

A novel computer-vision based gesture-metasurface interaction (GMI) system enables intuitive control for beam manipulation and wireless communication. This non-contact system offers high flexibility and multiple functions for various applications.

Keywords:

beam manipulation computer vision gesture-metasurface interaction system non-contact programmable metasurface wireless communication

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Area of Science:

Engineering
Computer Science
Materials Science

Background:

Hand gestures are a fundamental human interaction method, crucial for accessibility and human-machine interfaces.
Developing intelligent systems for direct and efficient control is a key research area.
Metasurfaces offer advanced capabilities for manipulating electromagnetic waves.

Purpose of the Study:

To propose and validate a computer-vision (CV) based gesture-metasurface interaction (GMI) system.
To enable gesture-based control for both beam manipulation and wireless communication functionalities.
To ensure system security through gesture-based access control.

Main Methods:

Implementing a CV algorithm to recognize hand gestures for mode selection and security.
Integrating gesture recognition with a metasurface for real-time beam steering and wireless data transmission.
Experimentally validating the system's performance in switching modes and communication.

Main Results:

The GMI system successfully switches between beam manipulation and wireless communication modes based on gesture commands.
Real-time remote control of different beams and text message communication via gesture translation were demonstrated.
The system achieved secure operation through a validated unlocking gesture.

Conclusions:

The proposed non-contact GMI system provides a flexible, interactive, and multi-functional human-machine interface.
Potential applications include community security, smart homes, and barrier-free communication systems.
Gesture-based metasurface interaction represents a promising advancement in human-computer interaction and wireless technology.