Model-based data augmentation for user-independent fatigue estimation.

Journal: Computers in biology and medicine
PMID: 34520991

Abstract

OBJECTIVE: User-independent recognition of exercise-induced fatigue from wearable motion data is challenging, due to inter-participant variability. This study aims to develop algorithms that can accurately estimate fatigue during exercise.

Authors

  • Yanran Jiang
    Department of Mechanical and Aerospace Engineering, Monash University, Melbourne VIC, 3800, Australia. Electronic address: yanran.jiang@monash.edu.
  • Peter Malliaras
    Department of Physiotherapy, Monash University, Melbourne VIC, 3800, Australia.
  • Bernard Chen
  • Dana Kulic

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