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.
|Title of host publication
|ISWC 2014 - Proceedings of the 2014 ACM International Symposium on Wearable Computers
|Association for Computing Machinery
|Number of pages
|Published - Sep 13 2014
|18th ACM International Symposium on Wearable Computers, ISWC 2014 - Seattle, United States
Duration: Sep 13 2014 → Sep 17 2014
|Proceedings - International Symposium on Wearable Computers, ISWC
|18th ACM International Symposium on Wearable Computers, ISWC 2014
|9/13/14 → 9/17/14
Bibliographical noteFunding Information:
This work was supported by the National Science Foundation under grant number IIS 1116719.
© 2014 Owner/Author.
- garment-integrated sensing
- smart clothing
- stitched stretch sensors
- wearable technology