title: Towards an efficient and robust foot classification from pedobarographic images.
abstract: 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.
authors.affiliation: Faculdade de Engenharia da Universidade do Porto (FEUP)/Instituto de Engenharia Mecânica e Gestão Industrial (INEGI), Rua Dr. Roberto Frias, 4200-465, Porto, Portugal.
authors.forename: Francisco P M
authors.initials: FP
authors.lastname: Oliveira
authors.forename: Andreia
authors.initials: A
authors.lastname: Sousa
authors.forename: Rubim
authors.initials: R
authors.lastname: Santos
authors.forename: João Manuel R S
authors.initials: JM
authors.lastname: Tavares
mesh_terms: D000465:Algorithms; D001696:Biomechanical Phenomena / Q000502:physiology; D003198:Computer Simulation; D003878:Dermatoglyphics / Q000145:classification; D005528:Foot / Q000033:anatomy & histology* / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D011312:Pressure