hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Estimating Ground Inclination Using Strain Sensors with Fourier Series Representation
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
2010 (English)In: Journal of Robotics, ISSN 1687-9600, Vol. 2010, p. 1-8Article in journal (Refereed) Published
Abstract [en]

An embedded measurement system for foot orthosis during gait is proposed. Strain gauge sensors were mounted on a foot orthosis to give information about strain in the sagittal plane. The ankle angle of the orthosis was fixed and strain characteristics were therefore changed when walking on slopes. With a Fourier series representation of the strain during a gait cycle, ground angle at different walking speeds and inclinations could be estimated with similar accuracy as previous studies using kinematically based estimators. Furthermore, if the angle of the mechanical foot ankle was changed, the sensing technique still could estimate ground angle without need for recalibration as opposed to kinematical sensors. This indicates that embedded strain sensors can be used for online control of future orthoses with inclination adaptation. Also, there would be no need to recalibrate the sensing system when changing shoes with different heel heights.

Place, publisher, year, edition, pages
New York: Hindawi Publishing Corporation, 2010. Vol. 2010, p. 1-8
Keywords [en]
Estimation, Strain sensors, Fourier series, Ground inclination, Orthorsis
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-4295DOI: 10.1155/2010/465618OAI: oai:DiVA.org:hh-4295DiVA, id: diva2:310945
Note

Article ID: 465618

Available from: 2010-04-20 Created: 2010-04-19 Last updated: 2020-05-07Bibliographically approved

Open Access in DiVA

fulltext(1056 kB)484 downloads
File information
File name FULLTEXT01.pdfFile size 1056 kBChecksum SHA-512
316cb29eb69bfe228060014c7e063be0aec9cdf3be0a29d22a754481db79b5f3ca32400ec450c6e009578b86c94925e3bdd0d64528fc6d53213a8982b28f7e3e
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Svensson, WolfgangHolmberg, Ulf

Search in DiVA

By author/editor
Svensson, WolfgangHolmberg, Ulf
By organisation
Intelligent systems (IS-lab)
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 484 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 517 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf