Toward an Affordable and User-Friendly Visual Motion Capture System
| Autor: | C. Azevedo Coste, Gentiane Venture, Vincent Bonnet, Philippe Fraisse, N. Sylla, A. Gonzáles, Andrea Cherubini |
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| Přispěvatelé: | Laboratory of Locomotor Apparatus Bioengineering (LABLAB), University of Rome 'Foro Italico', PSA Peugeot - Citroën (PSA), PSA Peugeot Citroën (PSA), Interactive Digital Humans (IDH), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Control of Artificial Movement and Intuitive Neuroprosthesis (CAMIN), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Inria Sophia Antipolis - Méditerranée (CRISAM) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Adult
Male 0209 industrial biotechnology Engineering Correlation coefficient Movement ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Kinematics User-Computer Interface [SPI]Engineering Sciences [physics] 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Humans Computer vision Root-mean-square deviation ComputingMethodologies_COMPUTERGRAPHICS User Friendly Hand Strength business.industry Process (computing) Biomechanical Phenomena Photogrammetry Arm RGB color model 020201 artificial intelligence & image processing Female Joints Noise (video) Artificial intelligence Joint (audio engineering) business Software |
| Zdroj: | 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC: Engineering in Medicine and Biology Conference EMBC: Engineering in Medicine and Biology Conference, Aug 2014, Chicago, Illinois, United States. pp.4985-4988, ⟨10.1109/EMBC.2014.6944410⟩ EMBC |
| DOI: | 10.1109/EMBC.2014.6944410⟩ |
| Popis: | International audience; The present study aims at designing and evaluating a low-cost, simple and portable system for arm joint angle estimation during grasping-like motions. The system is based on a single RGB-D camera and three customized markers. The automatically detected and tracked marker positions were used as inputs to an offline inverse kinematic process based on bio-mechanical constraints to reduce noise effect and handle marker occlusion. The method was validated on 4 subjects with different motions. The joint angles were estimated both with the proposed low-cost system and, a stereophotogrammetric system. Comparative analysis shows good accuracy with high correlation coefficient (r= 0.92) and low average RMS error (3.8 deg). |
| Databáze: | OpenAIRE |
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