Se propuso un método para la evaluación de la exactitud y precisión de los sistemas de captura mediante la medición de la media de los errores de la distancia inter-marcadores absoluta y la desviación estándar.
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Este artículo examina como impactan en la precisión de las mediciones cinemáticas la tecnología de las cámaras y sus configuraciones, el tamaño de los marcadores y la velocidad. A pesar de que la captura 3D de los movimientos basada en cámaras de video es efectiva, su desempeño es dependiente de varios parámetros. Keywords: precision, video, capturing systems, human movement, biomechanics, measurements accuracy, video camera, inter-marker distance.Įl objetivo de los sistemas de captura de movimiento es la disminución de los errores y la representación exacta de los movimientos humanos. This information is essential in the implementation of this system as a clinical assessment tool and is a factor that should be considered for low accuracy systems. Although the Santiago lab reported to be significantly less accurate than the two other labs, results showed that the mean absolute inter-marker distance error was minimized in the center of the capture volume.
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However, the Santiago lab was unable to accurately track small changes in the elements of the measurement system and therefore was not recommended for small human movements. For the two Vicon labs, the individual effects and interactions between the parameters and the spatial measurements of the motion analysis systems were able to be determined. A custom-made dynamic measurement protocol was used to test the performance of three motion capture systems two different Vicon motion capture systems and a low-cost motion capture system implemented in the Santiago de Cuba Hospital (SCH) using common video cameras. A method was developed to systematically assess accuracy and precision of motion capture systems by measuring the mean absolute inter-marker distance errors and standard deviations respectively. This paper examines the how variations in independent technical parameters such as video camera sensor technology, system configuration, marker size and speed influence the accuracy of the kinematic measurements. Although 3D camera-based motion capturing systems are effective for accurate acquisition of motion, their performance is highly dependent on various parameters. In biomechanical assessments, minimizing errors and achieving accurate representations of human movements are the main goals of motion capture systems. University of New Brunswick, Fredericton, NB, Canada. University of New Brunswick, Fredericton, NB, Canada.ħ Andrew and Marjorie McCain Human Performance Laboratory Richard J. University of New Brunswick, Fredericton, NB, Canada.Ħ Department of Mathematics and Statistics. University of New Brunswick, Fredericton, NB, Canada.ĥ Faculty of Mechanical Engineering. University of New Brunswick, Fredericton, NB, Canada.Ĥ Faculty of Mechanical Engineering. University of New Brunswick, Fredericton, NB, Canada.ģ Faculty of Kinesiology. University of New Brunswick, Fredericton, NB, Canada.Ģ Institute of Biomedical Engineering.
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The impact of technical parameters such as video sensor technology, system configuration, marker size and speed on the accuracy of motion analysis systemsĬarlos Diaz Novo 1, Sultan Alharbi 2, Megan Fox 3, Elaine Ouellette 4, Edmund Biden 5, Maureen Tingley 6 y Victoria Chester 7ġ Institute of Biomedical Engineering.