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Body-Coupled-Driven Object-Oriented Natural Interactive Interface.

Jianlong Hong1, Yukun Xiao1, Yuqi Chen1

  • 1Interdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, 211189, China.

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Summary
This summary is machine-generated.

This study introduces a transparent, stretchable interface for advanced human-machine collaboration in the metaverse. It offers precise 2D tactile and 3D spatial sensing, enabling seamless control of multiple devices.

Keywords:
3D spatial sensingbody‐coupled electromagnetic couplinghuman‐machine interactiontactile sensingtrajectory reconstruction

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Area of Science:

  • Human-Computer Interaction
  • Materials Science
  • Robotics

Background:

  • The metaverse requires sophisticated human-multi-machine collaboration interfaces.
  • Current interfaces lack precision and adaptability for complex interactions.

Purpose of the Study:

  • To develop a transparent, stretchable sensing interface for synergistic 2D tactile and 3D spatial perception.
  • To enhance human-machine interaction (HMI) efficiency through a novel framework.

Main Methods:

  • Utilized body-coupled electromagnetic coupling with bi-modal (resistive and capacitive) mechanisms.
  • Integrated micrometer-scale 2D tactile sensing and 3D spatial perception up to a 200 mm range.
  • Developed an object-oriented HMI framework for multi-device control via electromagnetic signatures.

Main Results:

  • Achieved calligraphy-grade trajectory reconstruction (200 µm precision) with force tactile sensing in contact mode.
  • Recognized 38 gestures with 97.11% accuracy in non-contact mode.
  • Demonstrated seamless integration on curved surfaces (gloves, clothes) without perceptual interference.

Conclusions:

  • The developed interface significantly enhances collaborative efficiency in human-multi-machine scenarios.
  • This technology holds potential for applications in intelligent healthcare, industrial robotics, and augmented reality.