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Related Experiment Videos

Predicting garment pattern dimensions from photographic and anthropometric data.

E Gazzuolo1, M DeLong, S Lohr

  • 1Design Division, Minneapolis College of Art and Design, Minneapolis, Minnesota, USA.

Applied Ergonomics
|June 1, 1992
PubMed
Summary

This study compared traditional tape measurements with photographic measurements for female upper torso pattern dimensions. Photographic measurements showed promise as a less intrusive alternative, accurately predicting pattern angles.

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Area of Science:

  • Anthropometry
  • Apparel design
  • Biomechanical engineering

Background:

  • Traditional pattern making relies on linear body measurements.
  • These measurements can be time-consuming and intrusive.
  • Accurate body measurements are crucial for effective apparel design.

Purpose of the Study:

  • To compare the accuracy of traditional linear measurements with photographic measurements for determining female upper torso pattern dimensions.
  • To evaluate the utility of photographic measurements as a less intrusive alternative for pattern making.

Main Methods:

  • Developed statistical regression models using both linear (tape measure) and photographic (frontal and lateral views) measurements.
  • Compared the predictive accuracy of both measurement types for various upper torso pattern dimensions, including lengths, circumferences, and angles.

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Main Results:

  • Linear measurements offered slightly higher accuracy for some pattern dimensions.
  • Photographic measurements demonstrated superior accuracy for predicting other dimensions, notably pattern angles.
  • Photographic measurements proved to be a viable alternative for specific pattern dimension predictions.

Conclusions:

  • Photographic measurements present a promising, less intrusive method for obtaining female upper torso pattern dimensions.
  • This technique shows potential to enhance the efficiency and accuracy of apparel pattern development.
  • Further research could explore integrating photographic measurements into digital pattern making workflows.