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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Reconstruction of skeletal movement using skin markers: comparative assessment of bone pose estimators | BioMed Central Journal of NeuroEngineering and Rehabilitation Research Reconstruction of skeletal movement using skin markers comparative assessment of bone pose estimators Andrea Cereatti1 Ugo Della Croce 2 3 and Aurelio Cappozzo1 Open Access Address Department of Human Movement and Sport Sciences Istituto Universitario di Scienze Motorie Rome Italy 2Department of Biomedical Sciences University of Sassari Sassari Italy and 3Centro di Cura e Riabilitazione Santa Maria Bambina Oristano Italy Email Andrea Cereatti - andrea.cereatti@gmail.com Ugo Della Croce - dellacroce@uniss.it Aurelio Cappozzo - cappozzo@iusm.it Corresponding author Published 23 March 2006 Received 01 December 2005 Journal of NeuroEngineering and Rehabilitation2006 3 7 doi 10.1186 1743-0003-3-7 This article is available from http www.jneuroengrehab.com content 3 1 7 Accepted 23 March 2006 2006Cereatti et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.Org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background The assessment of the accuracy of the pose estimation of human bones and consequent joint kinematics is of primary relevance in human movement analysis. This study evaluated the performance of selected pose estimators in reducing the effects of instrumental errors soft tissue artifacts and anatomical landmark mislocations occurring at the thigh on the determination of the knee kinematics. Methods The pattern of a typical knee flexion-extension during a gait cycle was fed into a knee model which generated a six-components knee kinematics and relevant marker trajectories. The marker trajectories were corrupted with both instrumental noise and soft tissue artifacts. Two different cluster configurations 4 and 12-marker cluster were investigated. Four selected pose estimators a Geometrical .