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Developing a Motion Language: Gait Analysis from Accelerometer Sensor Systems
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
2009 (English)In: Pervasive Health 2009: 3rd International Conference on Pervasive Computing Technologies for Healthcare, Piscataway, N.J.: IEEE Press, 2009, p. 1-8Conference paper, Published paper (Refereed)
Abstract [en]

The advances in sensing technology provide us with the opportunity to develop mobile and unobtrusive systems to continuously gather gait data. Accelerometers have been shown to be an adequate choice for recording human motion data. For that reason, many previous works have investigated the use of accelerometers for gait analysis. Previous works were able to extract either static temporal information or dynamic general information about the gait patterns. This work aims at extracting both static and dynamic information from acceleration signals. The ability to extract information about the dynamics of gait is exemplified with a novel symmetry measure. The method presented here is based on the motion language approach. A method based on peak detection was chosen as a reference, which we compare to our method. A Gait Rite pressure sensitive mat was used to detect heel-strike and toe-off ground truths. Results show that the proposed approach is as accurate as, more robust than, and conveys more information than the reference method.

Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2009. p. 1-8
Keywords [en]
gait analysis, accelerometer, motion language, motion primitives
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hh:diva-85DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5913Scopus ID: 2-s2.0-70350746653ISBN: 978-963-9799-42-4 OAI: oai:DiVA.org:hh-85DiVA, id: diva2:235544
Conference
3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009, London, 1-3 April, 2009
Projects
SELIES
Note

©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Available from: 2009-09-18 Created: 2009-09-16 Last updated: 2016-03-09Bibliographically approved

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SantAnna2009(667 kB)1535 downloads
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Sant'Anna, AnitaWickström, Nicholas

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Citation style
  • apa
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  • vancouver
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More styles
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  • en-GB
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