Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/403
Author(s): Daniela Sofia S. Sousa
João Manuel R. S. Tavares
Miguel Velhote Correia
Emília Mendes
António Veloso
Vera Silva
Filipa João
Title: Selecting biomechanical variables for detect gait events using computational vision
Issue Date: 2007
Abstract: In clinical gait analysis gait events, such as initial contact and toe off, are needed for biomechanical data normalization and for several temporal/distance parameters estimation. Therefore, there is a major necessity to identify the key gait events accurately. In this paper it will be presented an algorithm to detected stance phase and swing phase events using just visual information acquired by image cameras. The performance of our algorithm was compared with the golden standard method (based on data from force platforms) considering normal video digital cameras and high-speed cameras also.
Subject: Biomecânica, Engenharia mecânica
Biomechanics, Mechanical engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia mecânica
Engineering and technology::Mechanical engineering
URI: https://repositorio-aberto.up.pt/handle/10216/403
Source: ICCB2007 - III International Congress on Computational Bioengineering
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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