There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Repository Details
Classification of hand grip postures using surface EMG signals from amputee patients. Features are extracted using time-frequency analysis (STFT), and a CNN-based model is applied. The method achieves up to 91.13% accuracy in individual classifications and 87.97% in K-fold cross-validation.
