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

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

doi:10.1145/2634317.2634336

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

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

Apparel Design

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 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 language	English (US)
Title of host publication	ISWC 2014 - Proceedings of the 2014 ACM International Symposium on Wearable Computers
Publisher	Association for Computing Machinery
Pages	131-132
Number of pages	2
ISBN (Electronic)	9781450329699
DOIs	https://doi.org/10.1145/2634317.2634336
State	Published - Sep 13 2014
Event	18th ACM International Symposium on Wearable Computers, ISWC 2014 - Seattle, United States Duration: Sep 13 2014 → Sep 17 2014

Publication series

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

Conference

Conference	18th ACM International Symposium on Wearable Computers, ISWC 2014
Country/Territory	United States
City	Seattle
Period	9/13/14 → 9/17/14

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

Publisher link

10.1145/2634317.2634336

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Gioberto, G., Min, C. H., Compton, C., & Dunne, L. E. (2014). Lower-Limb Goniometry using Stitched Sensors: Effects of Manufacturing and Wear Variables. In ISWC 2014 - Proceedings of the 2014 ACM International Symposium on Wearable Computers (pp. 131-132). (Proceedings - International Symposium on Wearable Computers, ISWC). Association for Computing Machinery. https://doi.org/10.1145/2634317.2634336

Lower-Limb Goniometry using Stitched Sensors: Effects of Manufacturing and Wear Variables. / Gioberto, Guido; Min, Cheol Hong; Compton, Crystal et al.
ISWC 2014 - Proceedings of the 2014 ACM International Symposium on Wearable Computers. Association for Computing Machinery, 2014. p. 131-132 (Proceedings - International Symposium on Wearable Computers, ISWC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gioberto, G, Min, CH, Compton, C & Dunne, LE 2014, Lower-Limb Goniometry using Stitched Sensors: Effects of Manufacturing and Wear Variables. in ISWC 2014 - Proceedings of the 2014 ACM International Symposium on Wearable Computers. Proceedings - International Symposium on Wearable Computers, ISWC, Association for Computing Machinery, pp. 131-132, 18th ACM International Symposium on Wearable Computers, ISWC 2014, Seattle, United States, 9/13/14. https://doi.org/10.1145/2634317.2634336

Gioberto G, Min CH, Compton C, Dunne LE. Lower-Limb Goniometry using Stitched Sensors: Effects of Manufacturing and Wear Variables. In ISWC 2014 - Proceedings of the 2014 ACM International Symposium on Wearable Computers. Association for Computing Machinery. 2014. p. 131-132. (Proceedings - International Symposium on Wearable Computers, ISWC). doi: 10.1145/2634317.2634336

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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.",

keywords = "e-textiles, garment-integrated sensing, smart clothing, stitched stretch sensors, wearable technology",

author = "Guido Gioberto and Min, {Cheol Hong} and Crystal Compton and Dunne, {Lucy E.}",

note = "Funding Information: This work was supported by the National Science Foundation under grant number IIS 1116719. Publisher Copyright: {\textcopyright} 2014 Owner/Author.; 18th ACM International Symposium on Wearable Computers, ISWC 2014 ; Conference date: 13-09-2014 Through 17-09-2014",

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N2 - 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.

AB - 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.

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

Abstract

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Bibliographical note

Keywords

Publisher link

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