HIGHLIGHTS
SUMMARY
XX, XXXX accurate predictions, most of the studies have focused on predicting gait variables at the current time instant using a multitude of sensor variables,, The authors propose a novel temporal convolutional network (TCN)-based framework called foot angle trajectory prediction network (FATP-N), which could use the temporal intra-limb synergy during locomotion to predict the future sagittal foot angle trajectory. Advanced deep learning algorithms like recurrent neural_network (RNN) architectures have gained interest in different fields for time-series prediction. Mundt et_al used feed-forward neural_networks and LSTM networks to predict lower limb . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.