KinematicIntentionDecoding

Comparisons of real time inference of sEMG with different feature Sets via PID and Model Predictive Controller (MPC).

Description

Real time closed loop PID/MPC for control of virtual hand via binary inference of sEMG by a deep neural network.

Getting Started

Dependencies

• MATLAB, any version that supports the Machine Learning and Statistics and Signal Processing toolboxes.

Installing

Unzip data folders and extract contents. Delete parent directory of same name as zip.

Authors

Jordy A. Larrea Rodriguez @ Jordy.larrearodriguez@gmail.com

Version History

• 1.0
  • Working real time closed loop system.
• 0.1
  • Validated models and wrote basic main loop.

Acknowledgments

• Dr. Jacob George for virtual envirnoment and arduino interface.
• Caleb Thomson for specifics of standard sEMG features.