Search from over 60,000 research works

Advanced Search

Comparing loose clothing-mounted sensors with body-mounted sensors in the analysis of walking

[thumbnail of Open Access]
Preview
sensors-22-06605.pdf - Published Version (17MB) | Preview
Available under license: Creative Commons Attribution
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Jayasinghe, U., Hwang, F. orcid id iconORCID: https://orcid.org/0000-0002-3243-3869 and Harwin, W. S. orcid id iconORCID: https://orcid.org/0000-0002-3928-3381 (2022) Comparing loose clothing-mounted sensors with body-mounted sensors in the analysis of walking. Sensors, 22 (17). 6605. ISSN 1424-8220 doi: 10.3390/s22176605

Abstract/Summary

A person’s walking pattern can reveal important information about their health. Mounting multiple sensors onto loose clothing potentially offers a comfortable way of collecting data about walking and other human movement. This research investigates how well the data from three sensors mounted on the lateral side of clothing (on a pair of trousers near the waist, upper thigh and lower shank) correlate with the data from sensors mounted on the frontal side of the body. Data collected from three participants (two male, one female) for two days were analysed. Gait cycles were extracted based on features in the lower-shank accelerometry and analysed in terms of sensor-to-vertical angles (SVA). The correlations in SVA between the clothing- and body-mounted sensor pairs were analysed. Correlation coefficients above 0.76 were found for the waist sensor pairs, while the thigh and lower-shank sensor pairs had correlations above 0.90. The cyclical nature of gait cycles was evident in the clothing data, and it was possible to distinguish the stance and swing phases of walking based on features in the clothing data. Furthermore, simultaneously recording data from the waist, thigh, and shank was helpful in capturing the movement of the whole leg.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/107059
Item Type Article
Refereed Yes
Divisions Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Publisher MDPI
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar