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Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation
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A Soft Sensor-Based Three-Dimensional (3-D) Finger Motion Measurement System.

Wookeun Park1, Kyongkwan Ro2, Suin Kim3

  • 1Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Korea. wkpark@unist.ac.kr.

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|March 1, 2017
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Summary
This summary is machine-generated.

This study introduces a novel soft sensor system for precise 3-D finger motion measurement. The system utilizes flexible, liquid metal-filled sensors to capture complex joint movements, validated against motion capture.

Keywords:
finger joint modelingfinger motion measurementsoft sensorwearable sensor

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Area of Science:

  • Biomedical Engineering
  • Robotics
  • Wearable Technology

Background:

  • Conventional motion capture systems can be cumbersome and limited in certain environments.
  • Soft sensors offer advantages in elasticity, weight, and conformability for intricate anatomical regions.
  • Accurate measurement of finger joint angles is crucial for various applications, including rehabilitation and human-robot interaction.

Purpose of the Study:

  • To propose a soft sensor-based system for accurate three-dimensional (3-D) finger motion measurement.
  • To develop algorithms for decoupling sensor signals to extract individual joint angles.
  • To validate the system's performance against a gold-standard camera-based motion capture system.

Main Methods:

  • Fabrication of soft sensors using Ecoflex material with embedded microchannels filled with liquid metal (EGaln).
  • Modeling of complex finger joints, including the carpometacarpal (CMC) joint, to determine optimal sensor placement.
  • Development and application of signal-processing algorithms to isolate and quantify flexion, extension, abduction, and adduction angles.
  • Experimental validation using a camera-based motion capture system for performance comparison.

Main Results:

  • The proposed soft sensor system demonstrated the ability to measure 3-D finger motion.
  • Developed algorithms successfully decoupled sensor signals to extract pure joint angles.
  • The system's performance was verified through comparison with a camera-based motion capture system, showing comparable accuracy.

Conclusions:

  • A novel soft sensor system effectively measures 3-D finger motion, including complex joints like the CMC joint.
  • The developed algorithms enable accurate extraction of individual finger joint angles from soft sensor data.
  • This technology holds promise for applications requiring non-invasive and flexible motion tracking.