Conference Agenda
Overview and session details of the ESB2023 congress.
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Session Overview |
Session | |||||||
AI / Data-driven modelling in biomechanics III: Musculoskeletal System
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Presentations | |||||||
9:30 - 9:42
ID: 551 PHYSICS-INFORMED NEURAL NETWORKS FOR PREDICTING FATIGUE DURING INTERMITTENT ISOMETRIC TASKS University of Patras, Patras, Greece
9:42 - 9:54
ID: 366 ESTIMATION OF KNEE JOINT CONTACT FORCE MAXIMA DURING GAIT USING A VIDEO CAMERA AND DEMOGRAPHIC DATA 1University of Eastern Finland, Finland; 2University of Copenhagen; 3Kuopio University Hospital
9:54 - 10:06
ID: 205 LEARNING FACIAL MOTION USING DEEP REINFORCEMENT LEARNING AND FINITE ELEMENT MODELING 1Université de technologie de Compiègne, CNRS, Biomechanics and Bioengineering, Centre de recherche Royallieu, CS 60 319 - 60 203, Compiègne Cedex, France; 2Univ. Lille, CNRS, Centrale Lille, UMR 9013 - LaMcube - Laboratoire de Mécanique, Multiphysique, Multiéchelle, F-59000 Lille, France
10:06 - 10:18
ID: 724 CRITICAL SHOULDER ANGLE VARIABILITY ESTIMATED WITH A CAUSAL BAYESIAN NETWORK 1EPFL, Switzerland; 2ARTORG Center for Biomedical Engineering Research, Switzerland; 3Lausanne University Hospital (CHUV), Switzerland
10:18 - 10:30
ID: 568 GENERALIZATION OF MACHINE LEARNING MODEL PREDICTIONS OF KNEE JOINT FORCES TO POST STROKE GAIT 1Physical Education and Sport Science Department, Democritus University of Thrace, Greece; 2Department of Medicine, Democritus University of Thrace, Greece
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