These are C++ examples implementing the publication below.
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).
Library, SDK or API that each example requires
- CUDA toolkit 10.2 for GPU parallel process
- VTK 9.0.0 for visualization built by VS2019
- Eigen to handle vectors and matrices
- Myo Windows SDK to utilize sEMG inside MYO armband
- Eigen to handle vectors and matrices
- MATLAB C++ MEX API to realize mex function for MATLAB