摘要:The addition of environmental sensing,in the form of depth sensing,to the control of powered,lower-limb prostheses was proposed.Currently,the prediction of which locomotion mode-based controller to use has been performed using EMG from the residual limb and kinetics and kinematics from the prosthesis.However,due to the variability of EMG,kinetics,and kinematics across trials,days,and subjects,it is difficult to produce robust predictions with low error rates.This work focused on the de-