Wearable Triboelectric-Human-Machine Interface (THMI) Using Robust Nanophotonic Readout.

Area of Science:

• Wearable electronics and photonics
• Nanophotonics
• Human-machine interfaces

Background:

• Self-sustainable wearable systems require advanced interfaces for extended service life.
• Triboelectric-human-machine interfaces (THMIs) offer flexibility and scalability but suffer from unstable data transfer due to transient charge flows.
• Existing THMIs typically use electrical readouts, leading to information loss and instability.

Purpose of the Study:

• To develop a stable, information-lossless, and real-time readout strategy for THMIs.
• To integrate nanophotonic aluminum nitride (AlN) modulators into THMIs for improved signal transduction.
• To demonstrate a generic approach for self-sustainable human-machine interfaces (HMIs) in wearable systems.

Main Methods:

• Equipped THMIs with nanophotonic aluminum nitride (AlN) modulators for optical readout.
• Utilized the electro-optic Pockels effect for transducing interaction information from voltage to optical signals.
• Designed THMIs and nanophotonic readout circuits for flexible sensitivity and force range adaptation.

Main Results:

• Achieved stable, information-lossless, and real-time THMIs by enabling operation in open-circuit conditions with negligible charge flow.
• Demonstrated linear sensitivities independent of force speeds across various interaction force ranges.
• Developed a smart glove prototype for continuous real-time robotics control and virtual/augmented reality interaction.

Conclusions:

• The proposed nanophotonic readout strategy significantly enhances the performance of THMIs.
• This approach provides a generic and robust method for developing self-sustainable HMIs for advanced wearable systems.
• The integration of AlN modulators offers a pathway towards highly reliable and responsive human-machine interaction.