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One-Degree-of-Freedom System01:24

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In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
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Related Experiment Video

Updated: Aug 25, 2025

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation
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Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement System.

Yongfei Feng1, Mingwei Zhong1, Fangyan Dong1

  • 1Faculty of Mechanical Engineering & Mechanics, Ningbo University, Ningbo 315211, China.

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|October 14, 2022
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Summary

This study introduces a vision-based system for measuring finger joint range of motion, offering quick and simultaneous multi-joint assessment. The system achieves high accuracy, with angular deviations under 1°, improving hand disability evaluation.

Keywords:
hand disabilityhuman joint angle measurementmonocular visionvisual detection method

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Area of Science:

  • Biomedical Engineering
  • Computer Vision
  • Rehabilitation Technology

Background:

  • Quantitative measurement of finger-joint range of motion is crucial for assessing hand disability and guiding treatment.
  • Existing methods may be time-consuming or limited in simultaneous multi-joint assessment.

Purpose of the Study:

  • To develop and validate an industrial monocular-vision-based system for rapid, simultaneous measurement of multiple finger joints' range of motion.
  • To enhance the accuracy and efficiency of knuckle activity range detection.

Main Methods:

  • Hardware: An industrial monocular vision system with adjustable light source for marker-background differentiation.
  • Algorithms: Combined vision algorithms including image-threshold segmentation and Hough linear detection for knuckle activity range detection.

Main Results:

  • Experimental validation with nine healthy volunteers demonstrated high accuracy, with average angular deviations below 1° for both flexion/extension (0.43°-0.59°) and adduction/abduction (0.30°-0.81°).
  • The system significantly reduced measurement time compared to conventional methods in multi-angle velocimetry experiments.

Conclusions:

  • The proposed vision-based system provides an accurate and efficient solution for quantifying finger joint range of motion.
  • This technology has the potential to improve the assessment of hand disability and inform rehabilitation strategies.