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Stair Gait Classification from Kinematic Sensors
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
2007 (English)In: Rehabilitation Robotics / [ed] Sashi S. Kommu, Wien: I-Tech Education and Publishing KG, 2007, p. 523-534Chapter in book (Other academic)
Abstract [en]

Gait measurement is of interest for both orthopedists and biomechanical engineers. It is useful for analysis of gait disorders and in design of orthotic and prosthetic devices.

In this chapter an algorithm is presented to suit estimation of one foot angle in the sagital plane, independent on gait conditions. Only one gyro is used during swing and two accelerometers are needed for calibration during stance. Also, the sensor placement at the front foot avoids the need for heel strike for stance transition. Stair walking can therefore be studied. From the estimated swing trajectory three different gait conditions: up stair, horizontal and down stair are classified.

Place, publisher, year, edition, pages
Wien: I-Tech Education and Publishing KG, 2007. p. 523-534
Keywords [en]
Stair gait classification, kinematic sensors
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:hh:diva-1797Local ID: 2082/2192ISBN: 978-3-902613-01-1 OAI: oai:DiVA.org:hh-1797DiVA, id: diva2:239015
Note

Abstracting and non-profit use of the material is permitted with the credit to the source. After this work has been published by the I-Tech Education and Publishing, authors have the right to republish it, in whole or part, in any publication of which they are an author or editor, and the make other personal use of the work. (www.ars-journal.com)

Available from: 2008-08-27 Created: 2008-08-27 Last updated: 2018-03-23Bibliographically approved

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Svensson, WolfgangHolmberg, Ulf

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School of Information Science, Computer and Electrical Engineering (IDE)Halmstad Embedded and Intelligent Systems Research (EIS)
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CiteExportLink to record
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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