Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1237
Título: Towards an efficient and robust foot classification from pedobarographic images
Autor: Oliveira, Francisco
Sousa, Andreia S. P.
Santos, Rubim
Tavares, João Manuel
Palavras-chave: Biomechanics
Computational methods
Image analysis
Image alignment
Plantar pressure images
Footprint indices
Data: 2012
Editora: Taylor & Francis
Relatório da Série N.º: Computer Methods in Biomechanics and Biomedical Engineering; Vol. 15, Nº 11
Resumo: This 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.
Descrição: O documento em anexo encontra-se na versão post-print (versão corrigida pelo editor).
Peer review: yes
URI: http://hdl.handle.net/10400.22/1237
ISSN: 1025-5842
1476-8259
Versão do Editor: http://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
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