Article

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

2021-03-19

Abstract excerpt

Ground reaction forces (GRFs) are important for understanding human movement, but their measurement is generally limited to a laboratory. Previous studies used neural networks to predict GRF waveforms during running from wearable device data, but these predictions are limited to the stance phase of level-ground running. We sought to develop a recurrent neural network capable of predicting continuous normal (perpen...

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Literature Corpus work: b826d292-1e9e-54a9-a0f3-5c7ac661f90c
DOI: 10.1101/2021.03.17.435901

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