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A linguistic approach to the analysis of accelerometerdata for gait analysis
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-3495-2961
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4143-2948
2010 (English)In: Proceedings of the seventh IASTED International Conference on Biomedical Engineering: February 17-19, 2010, Innsbruck, Austria / [ed] A. Hierlemann, Anaheim, CA: ACTA Press, 2010, 8- p.Conference paper, (Refereed)
Abstract [en]

There is evidence that many cognitive conditions affect the human motor system. Gait analysis has lately been used as a means of studying this physical-cognitive correlation. The development of gait analysis systems, able to record and analyze gait during normal daily activities and in uncontrolled environment, is an important addition to this area of research. Lately, linguistic approaches have been studied as means to achieve activity classification from vision sensors. The present work aims to extend the linguistic approach to achieve quantitative analysis of gait from accelerometer data. The proposed method can be used to extend the Human Activity Language framework to include the analysis of inertial sensors such as accelerometers. Results show that the proposed method is more accurate and robust than previous methods and can be used to extract a number of clinically relevant gait measurements. A novel symmetry index is presented to exemplify how the proposed method is able to extract more information from accelerometer signals than previous methods.

Place, publisher, year, edition, pages
Anaheim, CA: ACTA Press, 2010. 8- p.
Keyword [en]
Gait analysis, accelerometers, non-invasive measurements
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hh:diva-5441Scopus ID: 2-s2.0-79953824222ISBN: 9780889868250 ISBN: 9780889868274 OAI: oai:DiVA.org:hh-5441DiVA: diva2:345707
Conference
seventh IASTED International Conference on Biomedical Engineering, February 17-19, 2010, Innsbruck, Austria
Available from: 2010-09-27 Created: 2010-08-26 Last updated: 2016-03-09Bibliographically approved

Open Access in DiVA

fulltext(333 kB)604 downloads
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Scopushttp://www.actapress.com/Abstract.aspx?paperId=38500

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • 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
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  • text
  • asciidoc
  • rtf