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...

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Egile Nagusiak:	Ryan S. Alcantara, W. Brent Edwards, Guillaume Y. Millet, Alena M. Grabowski
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	PeerJ Inc. 2022-01-01
Saila:	PeerJ
Gaiak:	Biomechanics Machine learning IMU LSTM GRF RNN
Sarrera elektronikoa:	https://peerj.com/articles/12752.pdf
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