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A Sliding-Gated Tactile Interface for Smartphone Side-Key Interaction.

Fengyuan Yang1,2, Wenqiang Yin1,2, Chongxiang Pan3

  • 1Beijing Key Laboratory of High-Entropy Energy Materials and Devices, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.

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|March 14, 2026
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Summary
This summary is machine-generated.

This study introduces a self-powered tactile interface for advanced human-machine interaction. The novel sensor accurately detects sliding motion, direction, and pressure, enabling smart device control.

Keywords:
human–machine interactionself-poweredsliding-gated tactile sensorsmartphone side-key control

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Area of Science:

  • Materials Science
  • Human-Computer Interaction
  • Sensor Technology

Background:

  • Current tactile sensors struggle with dynamic sliding information like direction and speed.
  • Precise sliding perception is vital for intuitive human-machine interactions.

Purpose of the Study:

  • To develop a self-powered tactile interface for detecting dynamic sliding information.
  • To enable accurate classification of sliding-touch interactions using machine learning.
  • To integrate the tactile interface into smart devices for enhanced functionality.

Main Methods:

  • Proposed a self-powered tactile interface utilizing electrostatic regulation for motion-to-electricity generation.
  • Engineered a semiconductive layer with a top gate to control carrier transport during sliding.
  • Employed machine-learning algorithms to classify electrical signals from sliding-touch interactions.

Main Results:

  • The tactile interface generated voltage signals corresponding to sliding direction, speed, pressure, and position without external power.
  • Achieved 98.33% recognition accuracy in classifying six representative sliding-touch interactions.
  • Demonstrated customizable smartphone functions, including volume control and music switching, via integrated sensors.

Conclusions:

  • The developed tactile sliding interface offers an innovative mechanism for sensing dynamic mechanical information.
  • This technology enhances interactive electronic systems and intelligent control.
  • The self-powered nature and high accuracy pave the way for advanced human-machine interfaces.