jacobian1128 / Self-Adaptive-sEMG-TBME-2019

Bayesian self-adaptive pattern recognition for sEMG

Home Page:http://dx.doi.org/10.1109/TBME.2019.2947089

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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

Thalmic MYO armband

MATLAB mex function

About

Bayesian self-adaptive pattern recognition for sEMG

http://dx.doi.org/10.1109/TBME.2019.2947089


Languages

Language:C++ 98.4%Language:C 1.2%Language:Cuda 0.3%Language:CMake 0.1%Language:MATLAB 0.0%