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Data Glove with Self-Compensation Mechanism Based on High-Sensitive Elastic Fiber-Optic Sensor.

Hui Yu1,2, Daifu Zheng1, Yun Liu1

  • 1School of Physics, Dalian University of Technology, Dalian116024, China.

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Summary

This study introduces a low-cost data glove using a novel elastic optical fiber sensor. This flexible sensor offers high sensitivity and self-calibration for improved virtual reality interaction and gesture capture.

Keywords:
data gloveelastic fiberflexible sensorhuman-computer interactionself-compensation

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Area of Science:

  • Materials Science
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Virtual reality (VR) interaction technology relies on effective human-computer interfaces.
  • Data gloves are crucial for VR, necessitating sensitive and flexible sensor designs.
  • Existing sensors often lack sensitivity, flexibility, or cost-effectiveness.

Purpose of the Study:

  • To develop a low-cost, high-sensitivity, and flexible sensor for data gloves.
  • To integrate self-compensating and self-calibration functionalities into the sensor system.
  • To enhance the performance of data gloves for applications like gesture capture and motion monitoring.

Main Methods:

  • Fabrication of a tunable and stretchable elastic optical fiber using an economical method.
  • Integration of the optical fiber sensor in a U-shape configuration (5 mm bending radius) to maximize sensitivity.
  • Incorporation of a reference optical fiber for improved system stability and accuracy.
  • Customizable sensor installation for adaptability to different hand shapes.

Main Results:

  • The U-shaped fiber design demonstrated up to a 7-fold increase in deformation response sensitivity compared to straight fibers.
  • The elastic optical fiber exhibited excellent flexibility and stability under various deformations (stretching, bending, indentation).
  • The self-calibrating sensor system showed improved accuracy and stability.
  • Gesture capture tests confirmed rapid response and accurate manipulator tracking.

Conclusions:

  • The proposed low-cost data glove, featuring a self-compensating elastic optical fiber sensor, offers superior sensitivity and stability.
  • The design's flexibility, self-calibration, and ease of customization make it highly suitable for advanced human-computer interaction.
  • This technology holds significant potential for applications in motion monitoring, telemedicine, and immersive VR experiences.