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Adaptive step length estimation algorithm using optimal parameters and movement status awareness

DC Field Value Language
dc.contributor.authorShin, Seung Hyuck-
dc.contributor.authorPark, Chan Gook-
dc.date.accessioned2011-10-24-
dc.date.available2011-10-24-
dc.date.issued2011-11-
dc.identifier.citationMed Eng Phys 33 2011;33:1064-71en
dc.identifier.issn1350-4533-
dc.identifier.urihttps://hdl.handle.net/10371/74435-
dc.description.abstractAn adaptive step length estimation algorithm operating with optimal parameters and a movement status
awareness algorithm are proposed. The proposed algorithm was developed as a means for increasing the
accuracy in estimating walking distances. The algorithm was applied to pedestrian navigation system,
ubiquitous health monitoring systems, and so forth. The algorithms optimal parameters were derived
after measurement errors were taken into consideration. The movement status awareness algorithm
was designed using a walking characteristic called the acceleration variance. After estimating a subjects
walking distance using the proposed algorithm, the measured error was 4.8% with respect to actual
walking distance. Alternatively, estimating a subjects walking distance without the algorithm yielded
an error of 20% with respect to actual walking distance.
en
dc.description.sponsorshipThis research was supported in part by ASRI (Automation & Systems Research Institute) and MEMS Research Center for National Defense funded by Defense Acquisition Program Administration.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofseries33en
dc.relation.ispartofseries9en
dc.subjectAdaptive step length estimationen
dc.subjectOptimal parametersen
dc.subjectMovement status awarenessen
dc.subjectUbiquitous health monitoringen
dc.titleAdaptive step length estimation algorithm using optimal parameters and movement status awarenessen
dc.typeConference Paperen
dc.contributor.AlternativeAuthor신승혁-
dc.contributor.AlternativeAuthor박찬국-
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