Lower-Limb Goniometry using Stitched Sensors: Effects of Manufacturing and Wear Variables

Guido Gioberto, Cheol Hong Min, Crystal Compton, Lucy E. Dunne

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

8 Scopus citations

Abstract

Smart fabrics allow for convenient wearable sensing solutions to monitor body movements during our daily life. However, garment-integrated sensing presents challenges for accurate sensing, due many variables including those presented by variability in garment and sensor dimensions due to cut-and-sew manufacturing processes, and those introduced by re-positioning of integrated sensors when the garment is donned and doffed. Here, we measure the effect of variability in garment positioning due to donning and doffing, garment dimension due to manufacturing tolerances, and sensor dimension due to manufacturing defects on the accuracy of a stitched goniometer used to measure flexion of the knee and hip. Results show that variability in garment positioning and garment dimension have a minimal effect on sensor accuracy, but sensor dimensions have a more significant influence on accuracy.

Original languageEnglish (US)
Title of host publicationISWC 2014 - Proceedings of the 2014 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery
Pages131-132
Number of pages2
ISBN (Electronic)9781450329699
DOIs
StatePublished - Sep 13 2014
Event18th ACM International Symposium on Wearable Computers, ISWC 2014 - Seattle, United States
Duration: Sep 13 2014Sep 17 2014

Publication series

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

Conference

Conference18th ACM International Symposium on Wearable Computers, ISWC 2014
Country/TerritoryUnited States
CitySeattle
Period9/13/149/17/14

Bibliographical note

Funding Information:
This work was supported by the National Science Foundation under grant number IIS 1116719.

Publisher Copyright:
© 2014 Owner/Author.

Keywords

  • e-textiles
  • garment-integrated sensing
  • smart clothing
  • stitched stretch sensors
  • wearable technology

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