Estimation of unmeasured ground reaction force data based on the oscillatory characteristics of the center of mass during human walking

Cited 7 time in webofscience Cited 0 time in scopus
  • Hit : 208
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorRyu, Hansol X.ko
dc.contributor.authorPark, Sukyungko
dc.date.accessioned2018-05-24T02:24:57Z-
dc.date.available2018-05-24T02:24:57Z-
dc.date.created2018-05-08-
dc.date.created2018-05-08-
dc.date.issued2018-04-
dc.identifier.citationJOURNAL OF BIOMECHANICS, v.71, pp.135 - 143-
dc.identifier.issn0021-9290-
dc.identifier.urihttp://hdl.handle.net/10203/242268-
dc.description.abstractTo enhance the wearability of portable motion-monitoring devices, the size and number of sensors are minimized, but at the expense of quality and quantity of data collected. For example, owing to the size and weight of low-frequency force transducers, most currently available wearable gait measurement systems provide only limited, if any, elements of ground reaction force (GRF) data. To obtain the most GRF information possible with a minimal use of sensors, we propose a GRF estimation method based on biomechanical knowledge of human walking. This includes the dynamics of the center of mass (CoM) during steady human gait resembling the oscillatory behaviors of a mass-spring system. Available measurement data were incorporated into a spring-loaded inverted pendulum with translating pivot. The spring stiffness and simulation parameters were tuned to match, as accurately as possible, the available data and oscillatory characteristics of walking. Our results showed that the model simulation estimated reasonably well the unmeasured GRF. Using the vertical GRF and CoP profile for gait speeds ranging from 0.93 to 1.89 m/s, the anterior-posterior (A-P) GRF was estimated and resulted in an average correlation coefficient of R = 0.982 +/- 0.009. Even when the ground contact timing and gait speed information were alone available, our method estimated GRFs resulting in R = 0.969 +/- 0.022 for the A-P and R = 0.891 0.101 for the vertical GRFs. This research demonstrates that the biomechanical knowledge of human walking, such as inherited oscillatory characteristics of the CoM, can be used to gain unmeasured information regarding human gait dynamics. (C) 2018 Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.publisherELSEVIER SCI LTD-
dc.subjectGAIT MECHANICS-
dc.subjectPRESSURE-
dc.subjectSYSTEM-
dc.subjectSHOE-
dc.subjectMODEL-
dc.subjectREPEATABILITY-
dc.subjectSTIFFNESS-
dc.subjectEXCURSION-
dc.subjectDYNAMICS-
dc.subjectBEHAVIOR-
dc.titleEstimation of unmeasured ground reaction force data based on the oscillatory characteristics of the center of mass during human walking-
dc.typeArticle-
dc.identifier.wosid000430765500017-
dc.identifier.scopusid2-s2.0-85042859125-
dc.type.rimsART-
dc.citation.volume71-
dc.citation.beginningpage135-
dc.citation.endingpage143-
dc.citation.publicationnameJOURNAL OF BIOMECHANICS-
dc.identifier.doi10.1016/j.jbiomech.2018.01.046-
dc.contributor.localauthorPark, Sukyung-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorGround reaction force-
dc.subject.keywordAuthorCenter of mass-
dc.subject.keywordAuthorCenter of pressure-
dc.subject.keywordAuthorCompliant legged walking model-
dc.subject.keywordAuthorHuman walking-
dc.subject.keywordPlusGAIT MECHANICS-
dc.subject.keywordPlusPRESSURE-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordPlusSHOE-
dc.subject.keywordPlusMODEL-
dc.subject.keywordPlusREPEATABILITY-
dc.subject.keywordPlusSTIFFNESS-
dc.subject.keywordPlusEXCURSION-
dc.subject.keywordPlusDYNAMICS-
dc.subject.keywordPlusBEHAVIOR-
Appears in Collection
ME-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 7 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0