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dc.contributor.author
Haufe, Florian
dc.contributor.author
Wolf, Peter
dc.contributor.author
Riener, Robert
dc.date.accessioned
2021-01-11T10:16:43Z
dc.date.available
2020-12-15T13:09:03Z
dc.date.available
2020-12-15T13:31:43Z
dc.date.available
2020-12-15T13:39:17Z
dc.date.available
2021-01-11T10:16:43Z
dc.date.issued
2020-03
dc.identifier.uri
http://hdl.handle.net/20.500.11850/456467
dc.identifier.doi
10.3929/ethz-b-000456467
dc.description.abstract
Soft, lightweight wearable robots can assist individuals with a lower limb weakness. However, it its challenging to identify control parameters that optimize the robotic assistance for a specific user and task. In this context, “Human-in-the-loop” techniques have been suggested to automate this optimization process. Here, we show that the assistance from the Myosuit, a multi-joint wearable robot, can be optimized using a Covariance-Matrix Adaptation Evolution Strategy. The optimization resulted in a reduction of a participant’s energy expenditure that was nearly twice as large (18 % vs. 9.6 %) than when using hand-selected parameters, thereby motivating future work with patients.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Infinite Science Publishing
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Human-in-the-loop optimization of a multi-joint wearable robot for movement assistance
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-02-16
ethz.book.title
Proceedings on Automation in Medical Engineering
en_US
ethz.journal.volume
1
en_US
ethz.journal.issue
1
en_US
ethz.pages.start
023
en_US
ethz.size
2 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
14. Interdisziplinäres Symposium des Fachausschusses (AUTOMED 2020)
en_US
ethz.event.location
Lübeck, Germany
en_US
ethz.event.date
March 2-3, 2020
en_US
ethz.notes
Conference lecture held March 2, 2020
en_US
ethz.publication.place
Lübeck
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::03654 - Riener, Robert / Riener, Robert
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::03654 - Riener, Robert / Riener, Robert
en_US
ethz.identifier.url
https://www.journals.infinite-science.de/index.php/automed/article/view/353
ethz.date.deposited
2020-12-15T13:09:12Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-12-15T13:31:53Z
ethz.rosetta.lastUpdated
2021-02-15T23:05:41Z
ethz.rosetta.versionExported
true
ethz.COinS
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