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Foot Recognition Using Deep Learning for Knee Rehabilitation

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dc.contributor.authorDuangsoithong, Rakkrit
dc.contributor.authorJaruenpunyasak, Jermphiphut
dc.contributor.authorGarcía Seco de Herrera, Alba
dc.date.accessioned2025-03-27T07:52:57Z
dc.date.available2025-03-27T07:52:57Z
dc.date.issued2019
dc.descriptionLa versión registrada de este artículo, publicado por primera vez en International Journal of Information, Control and Computer Sciences 13 , está disponible en línea en el sitio web del editor: https://publications.waset.org/10010586.pdf. The registered version of this article, first published in the International Journal of Information, Control and Computer Sciences 13, is available online at the publisher's website: https://publications.waset.org/10010586.pdf.
dc.description.abstractThe use of foot recognition can be applied in many medical fields such as the gait pattern analysis and the knee exercises of patients in rehabilitation. Generally, a camera-based foot recognition system is intended to capture a patient image in a controlled room and background to recognize the foot in the limited views. However, this system can be inconvenient to monitor the knee exercises at home. In order to overcome these problems, this paper proposes to use the deep learning method using Convolutional Neural Networks (CNNs) for foot recognition. The results are compared with the traditional classification method using LBP and HOG features with kNN and SVM classifiers. According to the results, deep learning method provides better accuracy but with higher complexity to recognize the foot images from online databases than the traditional classification method.en
dc.description.provenanceMade available in DSpace on 2025-03-27T07:52:57Z (GMT). No. of bitstreams: 1 GarciaSecoDeHerrera_Alba_FootRecognition.pdf: 525441 bytes, checksum: 41d44892693854f1b79200a1d3ffab4d (MD5) Previous issue date: 2019en
dc.description.versionversión publicada
dc.identifier.citationDuangsoithong, Rakkrit, Jermphiphut Jaruenpunyasak, y Alba García Seco de Herrera. «Foot Recognition Using Deep Learning for Knee Rehabilitation». International Journal of Information, Control and Computer Sciences 13 (2019). https://doi.org/10.5281/ZENODO.3300596
dc.identifier.doihttps://doi.org/10.5281/ZENODO.3300596
dc.identifier.issn1307-6892
dc.identifier.urihttps://hdl.handle.net/20.500.14468/26370
dc.journal.issue7
dc.journal.titleControl and Computer Sciences
dc.journal.volume13
dc.language.isoen
dc.page.final388
dc.page.initial384
dc.publisherASET
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentLenguajes y Sistemas Informáticos
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject12 Matemáticas::1203 Ciencia de los ordenadores ::1203.17 Informática
dc.subject.keywordsConvolutional neural networksen
dc.subject.keywordsdeep learningen
dc.subject.keywordsfoot recognitionen
dc.subject.keywordsknee rehabilitationen
dc.titleFoot Recognition Using Deep Learning for Knee Rehabilitationen
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication33e1cf81-6a46-4cc6-828f-1c0f2a7e7497
relation.isAuthorOfPublication.latestForDiscovery33e1cf81-6a46-4cc6-828f-1c0f2a7e7497
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