README.md

Self-Adaptive-sEMG-TBME-2019

These are C++ examples implementing the publication below.

Publication

Seongsik Park, Wan Kyun Chung and Keehoon Kim, "Training-free Bayesian self-adaptive classification for sEMG pattern recognition including motion transition," IEEE Transactions on Biomedical Engineering (DOI:10.1109/TBME.2019.2947089).

Environment and Dependency

Library, SDK or API that each example requires

CUDA and MFC

• CUDA toolkit 10.2 for GPU parallel process
• VTK 9.0.0 for visualization built by VS2019

Thalmic MYO armband

• Eigen to handle vectors and matrices
• Myo Windows SDK to utilize sEMG inside MYO armband

MATLAB mex function

• Eigen to handle vectors and matrices
• MATLAB C++ MEX API to realize mex function for MATLAB