dc.contributor.author |
Elvitigala, Don Samitha |
|
dc.contributor.author |
Matthies, Denys JC |
|
dc.contributor.author |
Nanayakkara, Suranga |
|
dc.coverage.spatial |
Switzerland |
|
dc.date.accessioned |
2021-03-16T01:50:28Z |
|
dc.date.available |
2021-03-16T01:50:28Z |
|
dc.date.issued |
2020-5-19 |
|
dc.identifier.citation |
Sensors 20(10) 19 May 2020 |
|
dc.identifier.issn |
1424-8220 |
|
dc.identifier.uri |
https://hdl.handle.net/2292/54713 |
|
dc.description.abstract |
Stress is a naturally occurring psychological response and identifiable by several body signs. We propose a novel way to discriminate acute stress and relaxation, using movement and posture characteristics of the foot. Based on data collected from 23 participants performing tasks that induced stress and relaxation, we developed several machine learning models to construct the validity of our method. We tested our models in another study with 11 additional participants. The results demonstrated replicability with an overall accuracy of 87%. To also demonstrate external validity, we conducted a field study with 10 participants, performing their usual everyday office tasks over a working day. The results showed substantial robustness. We describe ten significant features in detail to enable an easy replication of our models. |
|
dc.format.medium |
Electronic |
|
dc.language |
eng |
|
dc.publisher |
MDPI AG |
|
dc.relation.ispartofseries |
Sensors (Basel, Switzerland) |
|
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
|
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
|
dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
|
dc.subject |
center of pressure |
|
dc.subject |
smart insoles |
|
dc.subject |
smart shoes |
|
dc.subject |
stress |
|
dc.subject |
stress sensing |
|
dc.subject |
unobtrusive sensing |
|
dc.subject |
Science & Technology |
|
dc.subject |
Physical Sciences |
|
dc.subject |
Technology |
|
dc.subject |
Chemistry, Analytical |
|
dc.subject |
Engineering, Electrical & Electronic |
|
dc.subject |
Instruments & Instrumentation |
|
dc.subject |
Chemistry |
|
dc.subject |
Engineering |
|
dc.subject |
stress sensing |
|
dc.subject |
smart insoles |
|
dc.subject |
smart shoes |
|
dc.subject |
unobtrusive sensing |
|
dc.subject |
stress |
|
dc.subject |
center of pressure |
|
dc.subject |
HEART-RATE-VARIABILITY |
|
dc.subject |
MUSCLE-ACTIVITY |
|
dc.subject |
EXPRESSION |
|
dc.subject |
NONCONTACT |
|
dc.subject |
PRESSURE |
|
dc.subject |
BODY |
|
dc.subject |
1701 Psychology |
|
dc.subject |
Behavioral and Social Science |
|
dc.subject |
Clinical Research |
|
dc.subject |
0301 Analytical Chemistry |
|
dc.subject |
0805 Distributed Computing |
|
dc.subject |
0906 Electrical and Electronic Engineering |
|
dc.subject |
0502 Environmental Science and Management |
|
dc.subject |
0602 Ecology |
|
dc.title |
StressFoot: Uncovering the Potential of the Foot for Acute Stress Sensing in Sitting Posture. |
|
dc.type |
Journal Article |
|
dc.identifier.doi |
10.3390/s20102882 |
|
pubs.issue |
10 |
|
pubs.begin-page |
2882 |
|
pubs.volume |
20 |
|
dc.date.updated |
2021-02-03T22:24:33Z |
|
dc.rights.holder |
Copyright: The authors |
en |
pubs.author-url |
https://www.ncbi.nlm.nih.gov/pubmed/32438713 |
|
pubs.publication-status |
Published |
|
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
research-article |
|
pubs.subtype |
Journal Article |
|
pubs.elements-id |
803017 |
|
dc.identifier.eissn |
1424-8220 |
|
dc.identifier.pii |
s20102882 |
|
pubs.number |
ARTN 2882 |
|
pubs.online-publication-date |
2020-5-19 |
|