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Frenet-Serret and the Estimation of Curvature and Torsion

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dc.contributor.authorKim, Kwang-Rae-
dc.contributor.authorKim, Peter T.-
dc.contributor.authorKoo, Ja-Yong-
dc.contributor.authorPierrynowski, Michael R.-
dc.date.accessioned2021-09-05T23:06:21Z-
dc.date.available2021-09-05T23:06:21Z-
dc.date.created2021-06-14-
dc.date.issued2013-08-
dc.identifier.issn1932-4553-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/102516-
dc.description.abstractIn this paper we approach the problem of analyzing space-time curves. In terms of classical geometry, the characterization of space-curves can be summarized in terms of a differential equation involving functional parameters curvature and torsion whose origins are from the Frenet-Serret framework. In particular, curvature measures the rate of change of the angle which nearby tangents make with the tangent at some point. In the situation of a straight line, curvature is zero. Torsion measures the twisting of a curve, and the vanishing of torsion describes a curve whose three dimensional range is restricted to a two-dimensional plane. By using splines, we provide consistent estimators of curves and in turn, this provides consistent estimators of curvature and torsion. We illustrate the usefulness of this approach on a biomechanics application.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectREGRESSION SPLINES-
dc.subjectCAROTID-ARTERY-
dc.subjectGAIT ANALYSIS-
dc.subjectCURVES-
dc.subjectMODELS-
dc.titleFrenet-Serret and the Estimation of Curvature and Torsion-
dc.typeArticle-
dc.contributor.affiliatedAuthorKoo, Ja-Yong-
dc.identifier.doi10.1109/JSTSP.2012.2232280-
dc.identifier.scopusid2-s2.0-84880893946-
dc.identifier.wosid000322025600009-
dc.identifier.bibliographicCitationIEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, v.7, no.4, pp.646 - 654-
dc.relation.isPartOfIEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING-
dc.citation.titleIEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING-
dc.citation.volume7-
dc.citation.number4-
dc.citation.startPage646-
dc.citation.endPage654-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusREGRESSION SPLINES-
dc.subject.keywordPlusCAROTID-ARTERY-
dc.subject.keywordPlusGAIT ANALYSIS-
dc.subject.keywordPlusCURVES-
dc.subject.keywordPlusMODELS-
dc.subject.keywordAuthorBinormal-
dc.subject.keywordAuthorbiomechanics-
dc.subject.keywordAuthorbone pin and skin marker-
dc.subject.keywordAuthordifferential equations-
dc.subject.keywordAuthorknots-
dc.subject.keywordAuthornormal-
dc.subject.keywordAuthorsmooth curve-
dc.subject.keywordAuthorsplines-
dc.subject.keywordAuthortangent-
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