A gait phase prediction model trained on benchmark datasets for evaluating a controller for prosthetic legs

HIGHLIGHTS

• who: Minjae Kim from the Advanced Institute of Science Hangzhou Dianzi University, China have published the Article: A gait phase prediction model trained on benchmark datasets for evaluating a controller for prosthetic legs, in the Journal: (JOURNAL)
• what: The authors propose prediction of continuous gait phase using a DNN. The aim was to eliminate the need for device-specific training of gait phase prediction models by using publicly available benchmark datasets (Camargo et_al, 2021; Reznick et_al, 2021) containing locomotion data of non-disabled individuals. The authors heuristically determined the network architecture hyperparameters including the number . . .
  

   

  

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