Estimating Ground Inclination Using Strain Sensors with Fourier Series Representation
Joint Authors
Svensson, Wolfgang
Holmberg, Ulf
Source
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-04-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
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.
American Psychological Association (APA)
Svensson, Wolfgang& Holmberg, Ulf. 2010. Estimating Ground Inclination Using Strain Sensors with Fourier Series Representation. Journal of Robotics،Vol. 2010, no. 2010, pp.1-8.
https://search.emarefa.net/detail/BIM-473743
Modern Language Association (MLA)
Svensson, Wolfgang& Holmberg, Ulf. Estimating Ground Inclination Using Strain Sensors with Fourier Series Representation. Journal of Robotics No. 2010 (2010), pp.1-8.
https://search.emarefa.net/detail/BIM-473743
American Medical Association (AMA)
Svensson, Wolfgang& Holmberg, Ulf. Estimating Ground Inclination Using Strain Sensors with Fourier Series Representation. Journal of Robotics. 2010. Vol. 2010, no. 2010, pp.1-8.
https://search.emarefa.net/detail/BIM-473743
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-473743