Encontrados 4 documentos, a visualizar página 1 de 1
A Gait Analysis Laboratory for Motion Rehabilitation of Patients with Musculosk...
Daniela Sofia S. Sousa; João Manuel R. S. Tavares; Miguel Velhote Correia; Jorge G. Barbosa; Carolina Vila Chã; Emília MendesThis paper describes the technology (software & hardware) used in the Gait Analysis Labora-tory of CRPG – Centro de Reabilitação Profissional de Gaia. This laboratory is mainly intended to support CRPG with quantitative data for clinical rehabilitation of patients with musculoskeletal pathologies, namely in the lower limbs. Usually, for the gait analysis is considered data obtained from several acquisitio...
Selecting Biomechanical Variables for Detect Gait Events using Computational Vi...
Daniela Sofia S. Sousa; João Manuel R. S. Tavares; Miguel Velhote Correia; Emília Mendes; António Veloso; Vera Silva; Filipa JoãoIn 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...
Visualização 3D do movimento humano para aplicações em biomecânica
Tiago Soares; Jorge Manuel Gomes Barbosa; Miguel Velhote CorreiaEste artigo descreve o desenvolvimento de um sistema de visualização 3D do movimento humano, para uso em aplicações de biomecânica. O modelo humano é baseado em conjuntos esqueleto/malha poligonal e animação utilizando F.K.(forward kinematics). O movimento do modelo adapta-se aos dados reais previamente capturados. Para a descrição e implementação do movimento utilizou-se a biblioteca CAL3D, a qual a partir da ...
Distributed Computation of Optical Flow
Antonio Dopico; Miguel Velhote Correia; Jorge Almeida Santos; Luis M. NunesThis paper describes a new parallel algorithm to compute the optical flow of a video sequence. A previous sequential algorithm has been distributed over a cluster. It has been implemented in a cluster with 8 nodes connected by means of a Gigabit Ethernet. On this architecture, the algorithm, that computes the optical flow of every image on the sequence, is able of processing 10 images of 720x576 pixels per second.
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