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Self-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation.

Tian TanPeter B ShullJenifer L HicksScott D UhlrichAkshay S Chaudhari
Published in: bioRxiv : the preprint server for biology (2024)
This work, with its open-source code and models, may unlock broader use cases of IMU-driven kinetic assessment by mitigating the scarcity of GRF measurements in practical applications.
Keyphrases
  • machine learning
  • electronic health record
  • big data
  • single molecule
  • artificial intelligence
  • data analysis
  • deep learning