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Towards an efficient and robust foot classification from pedobarographic images

dc.contributor.authorOliveira, Francisco
dc.contributor.authorSousa, Andreia S. P.
dc.contributor.authorSantos, Rubim
dc.contributor.authorTavares, João Manuel
dc.date.accessioned2013-04-11T12:09:47Z
dc.date.available2013-04-11T12:09:47Z
dc.date.issued2012
dc.description.abstractThis paper presents a new computational framework for automatic foot classification from digital plantar pressure images. It classifies the foot as left or right and simultaneously calculates two well-known footprint indices: the Cavanagh's arch index and the modified arch index. The accuracy of the framework was evaluated using a set of plantar pressure images from two common pedobarographic devices. The results were outstanding, since all feet under analysis were correctly classified as left or right and no significant differences were observed between the footprint indices calculated using the computational solution and the traditional manual method. The robustness of the proposed framework to arbitrary foot orientations and to the acquisition device was also tested and confirmed.por
dc.identifier.citationOliveira, F. P. M., Sousa, A., Santos, R., & Tavares, J. M. R. S. (2012). Towards an efficient and robust foot classification from pedobarographic images. Computer Methods in Biomechanics and Biomedical Engineering, 15(11), 1181–1188. https://doi.org/10.1080/10255842.2011.581239
dc.identifier.doi10.1080/10255842.2011.581239pt_PT
dc.identifier.issn1025-5842
dc.identifier.issn1476-8259
dc.identifier.urihttp://hdl.handle.net/10400.22/1237
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherTaylor & Francispor
dc.relation.ispartofseriesComputer Methods in Biomechanics and Biomedical Engineering; Vol. 15, Nº 11
dc.relation.publisherversionhttp://www.tandfonline.com/doi/abs/10.1080/10255842.2011.581239?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%3dpubmed#.Uq8Qzkr6Q24
dc.subjectBiomechanicspor
dc.subjectComputational methodspor
dc.subjectImage analysispor
dc.subjectImage alignmentpor
dc.subjectPlantar pressure imagespor
dc.subjectFootprint indicespor
dc.titleTowards an efficient and robust foot classification from pedobarographic imagespor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1188por
oaire.citation.issueNº 11
oaire.citation.startPage1181por
oaire.citation.titleComputer Methods in Biomechanics and Biomedical Engineering
oaire.citation.volumeVol. 15por
person.familyNamePinheiro de Sousa
person.familyNameRubim Silva Santos
person.givenNameAndreia Sofia
person.givenNameManuel
person.identifier1070119
person.identifier.ciencia-id2216-9200-7EF6
person.identifier.ciencia-idA018-2B24-C597
person.identifier.orcid0000-0001-9528-1463
person.identifier.orcid0000-0002-7394-7604
person.identifier.ridC-7138-2019
person.identifier.scopus-author-id55950021600
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationaeecfe02-e80d-49ab-9033-a1ade15658f2
relation.isAuthorOfPublication0a264044-a870-4fca-b976-f7ce003d23a8
relation.isAuthorOfPublication.latestForDiscoveryaeecfe02-e80d-49ab-9033-a1ade15658f2

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