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In this project, an LSTM-AE model is trained to fit the GRF data of healthy walking gait patterns. Then GRF data of patients with musculoskeletal impairments from GaitRec are used as test data. We analyzed the loss value generated from the trained lstm-ae model for GRF data of different phases of recovery.

License: GNU General Public License v3.0

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gait-analysis lstm-neural-networks autoencoder musculoskeletal recovery

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