A PATHWAY TO IMPROVING REHABILITATION OUTCOMES THROUGH AI-POWERED, CLINICALLY ACCESSIBLE BIOMECHANICS

R. J. Cotton^1,2

¹Shirley Ryan AbilityLab; ²Northwestern University, United States of America

SYNTHETIC GAIT GENERATOR: A DATA-DRIVEN FRAMEWORK FOR CREATING COMPREHENSIVE HUMAN MOVEMENT DATASETS

A. Berger¹, G. Serrancolí²

¹ETH Zurich, Switzerland; ²Universitat Politècnica de Catalunya, Spain

ENHANCING ROBUSTNESS USING TRANSFER LEARNING: DEEP LEARNING BASED GAIT EVENT DETECTION FOR OLDER ADULTS

K. Z. Tan^1,2, Z. Y. Yong¹, Y. K. Kim^1,2, M. Gwerder², A. Frautschi², E. Lamoureux^3,4, P. Gupta^3,4, N. B. Singh^1,2

¹Future Health Technologies Programme, Singapore-ETH Centre, Singapore; ²Institute for Biomechanics, ETH Zurich, Switzerland; ³Singapore Eye Research Institute and Singapore National Eye Centre, Singapore; ⁴Duke-NUS Medical School, Singapore

MACHINE LEARNING-BASED RANKING OF FALL RISK FACTORS

M. T. Adil, P. Mandal

The University of Manchester, United Kingdom

MUSCLE FATIGUE CLASSIFICATION DURING FES: A STUDY ON ISOMETRIC, ISOTONIC, AND HYBRID CONTRACTION DATASETS

S. Selkmann¹, A. Lipphaus², M. Neumann¹, B. Bender¹

¹Ruhr-Universitaet Bochum, Germany - Dept. of Mechanical Engineering - Chair for Product Development; ²Ruhr-Universitaet Bochum, Germany - Dept. of Mechanical Engineering - Biomechanics Research Group

TFNET A TEMPORAL FREQUENCY DOMAIN MODEL FOR GAIT BIOMECHANICAL SIGNAL PREDICTION

Q. Bian¹, J. Duan², Z. Ding¹

¹University of Birmingham, United Kingdom; ²University of Manchester, United Kingdom

A FEDERATED LEARNING MODEL FOR MONITORING DYNAMIC GAIT BALANCE USING A SINGLE IMU

C.-H. Yu¹, Y.-Y. Cheng¹, H.-Y. Tsai¹, S.-H. Lu², Y.-F. Lu¹, T.-M. Wang³, T.-W. Lu¹

¹National Taiwan University, Taiwan; ²Taipei Medical University, Taiwan; ³National Taiwan University Hospital, Taiwan