A Random Forest Approach for Continuous Prediction of Joint Angles and Moments During Walking: An Implication for Controlling Active Knee-Ankle Prostheses/Orthoses.
Sharmita DeyTakashi YoshidaMichael ErnstThomas SchmalzArndt F. SchillingPublished in: CBS (2019)
Keyphrases
- random forest
- joint angles
- degrees of freedom
- lower extremity
- random forests
- inverse kinematics
- human body
- decision trees
- prediction accuracy
- feature set
- motion capture
- position and orientation
- ensemble methods
- pose estimation
- robot arm
- multi label
- end effector
- visual data
- humanoid robot
- training set
- robot manipulators
- base classifiers
- similarity measure
- semi supervised
- contact force
- vision system