Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: a recurrent neural network solution

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 limited to the...

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