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 lim...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2022-01-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/12752.pdf |