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Triaxial joint moment estimation using a wearable three-dimensional gait analysis system
Affiliation:1. School of Systems Engineering, Kochi University of Technology, 185 Miyanokuchi, Tosayamada-Cho, Kami-City, Kochi 782-8502, Japan;2. TEC GIHAN Co., Ltd., 1-22, Nishinohata, Okubo-Cho, Uji-City, Kyoto 611-0033, Japan;3. INSENCO R&D LAB. Inc., 7-2-1305, Hikarigaoka, Nerima-Ku, Tokyo 179-0072, Japan;1. Department of Electrical and Electronci Engineering;2. Department of Fundamental & Applied Sciences;3. Department of ChemicalEngineering Universiti Teknologi Petronas, Bandar Seri Iskandar, 31750 Perak, Malaysia;4. School of Engineering, Monash University Malaysia, Bandar Sunway, 46150 Selangor, Malaysia;5. Faculty of Engineering, University Selangor, Malaysia;1. University of Houston, Department of Health and Human Performance, Houston, Texas, USA;2. NASA Johnson Space Center, Neuroscience Laboratory, Houston, Texas, USA;1. Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;1. Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratory of Movement Analysis and Measurement, ELH 137/ Station 11, CH-1015 Lausanne, Switzerland;2. Centre Hospitalier Universitaire Vaudois and University of Lausanne (CHUV), Department of Orthopaedic Surgery and Traumatology, Lausanne, Switzerland;1. Department of Computer Science, KU Leuven, Celestijnenlaan 200A Box 2402, 3001, Heverlee, Belgium;2. Department of Movement and Sports Sciences, Ghent University, Watersportlaan 2, 9000, Gent, Belgium
Abstract:We developed a wireless sensor system composed of a mobile force plate system, three-dimensional (3D) motion sensor units and a wireless data logger. Triaxial joint moments of the ankle, knee and hip joints were calculated using measurements of the sensor system. The accuracy of the joint moment estimation is validated against results obtained from the reference measurement system composed of a camera based motion analysis system and force plates. Triaxial joint moments measured by the sensor system showed normalized root mean square error (NRMSE) and correlation coefficient (R) of less than 22% and more than 0.80 in comparison with the stationary system.
Keywords:Gait analysis  Ground reaction force  Joint moments  Segment orientation  Wearable sensors
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