Data augmentation of time-series data in human movement biomechanics: A scoping review.
<h4>Background</h4>The integration of machine learning and deep learning methodologies has transformed data analytics in biomechanics. However, the field faces challenges such as limited large-scale data sets, high data acquisition costs, and restricted participant access that hinder the...
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Main Authors: | Christina Halmich, Lucas Höschler, Christoph Schranz, Christian Borgelt |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0327038 |
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