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Standardization proposal of soft tissue artefact description for data sharing in human motion measurements
Affiliation:1. POLCOMING Department, Information Engineering Unit, University of Sassari, Sassari, Italy;2. Dept. of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy;3. Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, University of Rome “Foro Italico”, Rome, Italy;4. Life and Health Sciences, Aston University, Birmingham, United Kingdom;5. Department of Mechanical Engineering, University of Melbourne, Victoria, Australia;6. Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland;7. Laboratory of Simulation and Movement Modeling, Department of Kinesiology, University of Montreal, Montreal, Canada;8. Faculty of Health Sciences, University of Ottawa, Ottawa, Canada;9. Artanim Foundation, Medical Research Department, Geneva, Switzerland;10. Department of Electric, Electronic and Information Engineering “Guglielmo Marconi” – DEI, University of Bologna, Italy;11. Institute of Biomedical Engineering, National Taiwan University, Taiwan, ROC;12. Department of Electronic Engineering, Fu-Jen Catholic University, Taiwan, ROC;13. Department of Orthopaedic Surgery, School of Medicine, National Taiwan University, Taiwan, ROC;14. Department of Mechanical Engineering, Cleveland State University, Cleveland, OH, USA;15. Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Rome, Italy;1. Univ Lyon, Université Claude Bernard Lyon 1, IFSTTAR, LBMC UMR_T9406, F69622 Lyon, France;2. Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Università degli Studi di Roma “Foro Italico”, Rome, Italy;1. Institute of Biomedical Engineering, National Taiwan University, Taiwan, ROC;2. Department of Electrical Engineering, Fu Jen Catholic University, Taiwan, ROC;3. Department of Orthopaedic Surgery, School of Medicine, National Taiwan University, Taiwan, ROC;4. Department of Physical Therapy, China Medical University, Taiwan, ROC;5. Department of Orthopaedic Surgery, China Medical University Hospital, Taiwan, ROC;1. Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland;2. Laboratoire de recherche en imagerie et orthopédie, Centre de recherche du Centre Universitaire Hospitalier de Montréal, École de technologie supérieure, Montréal, Canada;3. Univ Lyon, Université Claude Bernard Lyon 1, IFSTTAR, LBMC UMR_T9406, F69622 Lyon, France;4. Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Università degli Studi di Roma “Foro Italico”, Rome, Italy;1. CIC INSERM 1432, Plateforme d''Investigation Technologique, CHU Dijon, France;2. Univ Lyon, Université Claude Bernard Lyon 1, IFSTTAR, LBMC UMR_T9406, F69622 Lyon, France;3. CNRFR – Rehazenter, Laboratoire d’Analyse du Mouvement et de la Posture, 1 rue André Vésale, L-2674 Luxembourg, Luxembourg;4. Laboratoire de simulation et de modélisation du mouvement, Département de kinésiologie, Université de Montréal, 1700, rue Jacques Tétreault, Laval, QC H7N 0B6, Canada;5. Research Center, Sainte-Justine Hospital, 3175 Côte-Ste-Catherine, Montreal, Quebec H3T 1C5, Canada;1. Laboratory of Movement Analysis and Measurement (LMAM), EPFL, Lausanne, Switzerland;2. Department of Orthopaedic Surgery and Traumatology, CHUV and University of Lausanne, Lausanne, Switzerland;3. Department of Radiology, CHUV and University of Lausanne and Clinique Bois-Cerf, Lausanne, Switzerland;1. Department of Movement, Human and Health Sciences, Università degli Studi di Roma “Foro Italico”, Rome, Italy;2. Université de Lyon, F-69622, Lyon; IFSTTAR, LBMC, UMR_T9406, Bron; Université Lyon 1, Villeurbanne, France
Abstract:Soft tissue artefact (STA) represents one of the main obstacles for obtaining accurate and reliable skeletal kinematics from motion capture. Many studies have addressed this issue, yet there is no consensus on the best available bone pose estimator and the expected errors associated with relevant results. Furthermore, results obtained by different authors are difficult to compare due to the high variability and specificity of the phenomenon and the different metrics used to represent these data. Therefore, the aim of this study was twofold: firstly, to propose standards for description of STA; and secondly, to provide illustrative STA data samples for body segments in the upper and lower extremities and for a range of motor tasks specifically, level walking, stair ascent, sit-to-stand, hip- and knee-joint functional movements, cutting motion, running, hopping, arm elevation and functional upper-limb movements. The STA dataset includes motion of the skin markers measured in vivo and ex vivo using stereophotogrammetry as well as motion of the underlying bones measured using invasive or bio-imaging techniques (i.e., X-ray fluoroscopy or MRI). The data are accompanied by a detailed description of the methods used for their acquisition, with information given about their quality as well as characterization of the STA using the proposed standards. The availability of open-access and standard-format STA data will be useful for the evaluation and development of bone pose estimators thus contributing to the advancement of three-dimensional human movement analysis and its translation into the clinical practice and other applications.
Keywords:Human movement analysis  Kinematics  Soft tissue artefact  Stereophotogrammetry  Open data
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