Towards an Efficient and Robust Foot Classification from Pedobarographic Images

• Autor(es): Francisco P. M. Oliveira ; Andreia Sousa ; Rubim Santos ; João Manuel R. S. Tavares
• Data: 2012
• Identificador Persistente: http://hdl.handle.net/10216/64361
• Origem: Repositório Aberto da Universidade do Porto
• Assunto(s): Ciências Tecnológicas
• Tipo de Documento: Artigo
• Idioma: Inglês

Descrição

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.