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://hdl.handle.net/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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