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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
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Hand surface area estimation formula using 3D anthropometry.

Yao-Wen Hsu1, Chi-Yuang Yu

  • 1Department of Industrial Engineering and Management, Ta-Hwa Institute of Technology, 1 Ta-Hwa Road, Chung-Lin, Hsinchu, Taiwan. ieywh@thit.edu.tw

Journal of Occupational and Environmental Hygiene
|September 25, 2010
PubMed
Summary
This summary is machine-generated.

This study developed new formulas for estimating palm surface area (PSA) and hand surface area (HSA) using 3D scans. Simple hand measurements accurately predict these areas, improving occupational hygiene assessments.

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Area of Science:

  • Anthropometry
  • Biomechanical Engineering
  • Occupational Health

Background:

  • Accurate hand surface area (HSA) and palm surface area (PSA) estimations are crucial for occupational hygiene and medical applications.
  • Existing textbook values for HSA and PSA have shown significant overestimations compared to empirical data.

Purpose of the Study:

  • To derive accurate formulas for palm surface area (PSA) and hand surface area (HSA) using 3D scan data.
  • To compare derived formulas with existing textbook values and assess the influence of gender on estimations.

Main Methods:

  • Recruited 270 subjects (135 male, 135 female) for high-resolution 3D hand scanning.
  • Calculated PSA and HSA using the triangular mesh summation method.
  • Performed stepwise regression analysis using six 1D hand measurements to develop predictive formulas.

Main Results:

  • The derived formulas using hand length and hand breadth explained 96% of HSA variance and 98% of PSA variance.
  • Previous textbook values overestimated PSA by 12.0% and HSA by 8.7%.
  • Gender was found to be an insignificant factor in both PSA and HSA estimation.

Conclusions:

  • A simple formula based on hand length and breadth provides a highly accurate estimation of hand and palm surface areas.
  • The developed method offers a more precise alternative to traditional textbook values, enhancing applications in occupational hygiene and beyond.
  • The findings suggest a universally applicable formula for HSA and PSA estimation, irrespective of gender.