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A constrained extended Kalman filter for the optimal estimate of kinematics and kinetics of a sagittal symmetric exercise.
Bonnet, V; Dumas, R; Cappozzo, A; Joukov, V; Daune, G; Kulic, D; Fraisse, P; Andary, S; Venture, G.
Affiliation
  • Bonnet V; University of Paris-Est Créteil, Laboratory of Image, Signal and Intelligent Systems, LISSI, France. Electronic address: vincent.bonnet@u-pec.fr.
  • Dumas R; Univ Lyon, Université Claude Bernard Lyon 1, IFSTTAR, UMR_T9406, LBMC, F69622 Lyon, France; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Università degli Studi di Roma "Foro Italico", Italia.
  • Cappozzo A; Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Università degli Studi di Roma "Foro Italico", Italia; Department of Movement, Human, and Health Sciences, Università degli Studi di Roma "Foro Italico", Italia.
  • Joukov V; Department of Electrical and Computer Engineering, University of Waterloo, Canada.
  • Daune G; Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Japan.
  • Kulic D; Department of Electrical and Computer Engineering, University of Waterloo, Canada.
  • Fraisse P; LIRMM UMR 5506 CNRS, Montpellier University, France.
  • Andary S; NaturalPad, Montpellier, France.
  • Venture G; Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Japan.
J Biomech ; 62: 140-147, 2017 09 06.
Article de En | MEDLINE | ID: mdl-28069162

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Exercice physique / Artéfacts / Modèles biologiques Type d'étude: Prognostic_studies Limites: Adult / Female / Humans / Male Langue: En Journal: J Biomech Année: 2017 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Exercice physique / Artéfacts / Modèles biologiques Type d'étude: Prognostic_studies Limites: Adult / Female / Humans / Male Langue: En Journal: J Biomech Année: 2017 Type de document: Article