An analysis of anthropometric geometric variability of the lower leg for the fit & function of advanced functional garments

Rachael Granberry, Julia Duvall, Lucy E. Dunne, Bradley Holschuh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

As advanced functional apparel (e.g. wearable technology) continues to develop and permeate the consumer market, sizing and fit for the human body have become obstacles to consumer accessibility and garment functionality. This study develops sizing and design strategies for an advanced functional compression garment for the lower leg through an investigation of anthropometric geometric variability of the North American civilian population (using the CAESAR database). We extracted six lower leg measurements - ankle, calf, and knee circumferences as well as knee-to ankle, kneeto- calf, and ankle-to-calf lengths - from a sample of CAESAR three-dimensional body scans (n = 160) and ran descriptive statistics to quantify lower leg variability. We then arranged the sample population separately using six different grouping variables - body mass index (BMI), height, weight, knee-to-ankle length, ankle circumference, calf circumference, and knee circumference - and conducted an analysis of variance (ANOVA) using each sorting algorithm to determine which variable(s) produced the most distinct groups (quartiles) for the anthropometric dimensions of interest (e.g., lower leg circumferences/lengths). The results conclude that sorting by BMI does not produce statistically discrete sizes; however, sorting by ankle circumference does (p < 0.05). Furthermore, length was found to be independent from circumference and vary consistently between ankle-based size groups. We conclude with sizing and design strategies for future development of advanced functional garments to aid in the transition from research to industry.

Original languageEnglish (US)
Title of host publicationISWC 2017 - Proceedings of the 2017 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery
Pages10-17
Number of pages8
VolumePart F130534
ISBN (Electronic)9781450351881
DOIs
StatePublished - Sep 11 2017
Event29th ACM International Symposium on Wearable Computers, ISWC 2017 - Maui, United States
Duration: Sep 11 2017Sep 15 2017

Publication series

NameProceedings - International Symposium on Wearable Computers, ISWC
VolumePart F130534
ISSN (Print)1550-4816

Conference

Conference29th ACM International Symposium on Wearable Computers, ISWC 2017
Country/TerritoryUnited States
CityMaui
Period9/11/179/15/17

Bibliographical note

Funding Information:
This work was supported by the Minnesota Partnership for Biotechnology and Medical Genomics (grant MNP #15.19), and the MnDRIVE Initiative. Thank you Megan Clarke and the University of Minnesota Human Dimensioning Lab.

Publisher Copyright:
© 2017 Association for Computing Machinery.

Keywords

  • Advanced functional garments
  • Body variability
  • Compression garments
  • Sizing systems
  • Wearable technology

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