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Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: a recurrent neural network solution
BACKGROUND: Ground reaction forces (GRFs) are important for understanding human movement, but their measurement is generally limited to a laboratory environment. Previous studies have used neural networks to predict GRF waveforms during running from wearable device data, but these predictions are li...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740512/ https://www.ncbi.nlm.nih.gov/pubmed/35036107 http://dx.doi.org/10.7717/peerj.12752 |