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Using subject-specific three-dimensional (3D) anthropometry data in digital human modelling: case study in hand

Liuxing Tsao1, Liang Ma1

  • 1a Department of Industrial Engineering , Tsinghua University , Beijing , China.

Ergonomics
|February 10, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework for creating accurate digital human models using 3D anthropometric data. This enhances the reliability of digital human simulations for product design and workspace arrangement.

Keywords:
Digital human modellingdynamic digital human modelshand motion simulationthree-dimensional (3D) anthropometry

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Area of Science:

  • Ergonomics and Human Factors
  • Computer-Aided Design
  • Biomechanical Engineering

Background:

  • Digital human modeling (DHM) aids early-stage design by addressing ergonomic concerns.
  • Current percentile-based DHM approaches limit simulation reliability due to generalized models.
  • Accurate, subject-specific models are needed for precise ergonomic assessments.

Purpose of the Study:

  • To propose and validate a framework for generating subject-specific digital human models.
  • To improve the accuracy of digital human model size and shape using 3D anthropometric data.
  • To enhance the reliability of digital human simulations for design applications.

Main Methods:

  • Utilized three-dimensional (3D) anthropometric scan data from specific subjects' hands.
  • Segmented 3D scan data based on estimated centers of rotation.
  • Applied forward kinematics to drive segmented hand models through functional postures.
  • Verified constructed hand models to validate the framework's feasibility.

Main Results:

  • Successfully generated subject-specific digital human hand models.
  • Demonstrated the feasibility of the proposed framework for creating accurate models.
  • Validated the framework's capability to represent functional hand postures.

Conclusions:

  • The proposed framework enables the construction of accurate, subject-specific digital human models.
  • This approach enhances the reliability of digital human simulations for product design.
  • Subject-specific models generated by this framework can effectively guide workspace arrangement and product development.