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Related Experiment Videos

Textile emitter for AI-enhanced human-machine interaction.

Ya Sun1,2, Xuanyu Cui1,2, Gaoyang Kong1,2

  • 1State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

National Science Review
|June 29, 2026
PubMed
Summary

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This summary is machine-generated.

This study introduces a novel textile emitter that converts mechanical motion into wireless infrared thermal signals for human-machine interaction. This battery-free wearable technology enables precise control without embedded electronics.

Area of Science:

  • Materials Science
  • Human-Computer Interaction
  • Wearable Technology

Background:

  • Wearable textile interfaces offer advanced human-machine interaction potential.
  • Wireless, battery-free on-body signal generation in textiles without embedded circuitry is a significant challenge.

Purpose of the Study:

  • To develop a textile emitter for precise human-machine interaction.
  • To enable wireless, battery-free signal generation using mechanical deformation.

Main Methods:

  • Fabrication of a textile emitter using strain-responsive IR-emitting fibers.
  • Transduction of user-induced mechanical deformation into time-coded infrared (IR) thermal signals.
  • Wireless decoding of encoded IR signals using machine learning algorithms.
Keywords:
AI-enhanced human–machine interactionsmart photonic textilesstrain-responsive infrared emissiontextile emitterswireless interaction

Related Experiment Videos

Main Results:

  • The textile emitter functions as a programmable signal generator without embedded electronics or power sources.
  • Seamless integration into garments ensures comfort and stable performance.
  • Machine learning achieved up to 99.6% recognition accuracy for diverse interaction commands.

Conclusions:

  • The AI-enhanced textile emitter provides a scalable and robust foundation for future wearable systems.
  • This technology facilitates advanced applications in information communication, robotic control, and digital interaction.
  • It overcomes the challenge of wireless, battery-free signal generation in smart textiles.