Towards an efficient and robust foot classification from pedobarographic images

• Tipo: Artigo em Revista Científica Internacional
• Data: 2012

Autores

Oliveira, FPM (Autor) Outra; Sousa, A (Autor) Outra; Santos, R (Autor) Outra; João Manuel R. S. Tavares (Autor) FEUP

Revista

Título: Computer Methods in Biomechanics and Biomedical Engineering

Vol. 15 Nº 11

Páginas: 1181-1188

ISSN: 1025-5842

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 6 Citações

Scopus - 12 Citações

Outras Informações

ID Authenticus: P-002-EW7

DOI: 10.1080/10255842.2011.581239

Abstract (EN): 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 (AI) and the modified AI. The accuracy of the framework was evaluated using a set of plantar pressure images from two common pedobarographic devices. The results were outstanding, as 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8