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...
Saved in:
| Main Authors: | Christina Halmich, Lucas Höschler, Christoph Schranz, Christian Borgelt |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0327038 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Functional Data Analysis in Complex Human Movement Analysis
by: Baifa Zhang, et al.
Published: (2025-04-01) -
Movement behaviour interventions during paid working time in full-time employees: a scoping review
by: Mark P. Funnell, et al.
Published: (2025-07-01) -
Correction: A scoping review of human papillomavirus related data system in China
by: Yongqiu Li, et al.
Published: (2025-08-01) -
Machine learning of time series data using persistent homology
by: Takashi Ichinomiya
Published: (2025-07-01) -
Urban tree species benchmark dataset for time series classificationEasyData - Data Terra
by: Clément Bressant, et al.
Published: (2025-08-01)