A Comparative Study of sEMG Gesture Recognition Algorithms Based on Ninapro DB1
This study utilized the publicly available Ninapro DB1 dataset and employed a standardized preprocessing and feature extraction workflow to systematically compare the performance of four machine learning algorithms — Random Forest, Multi-Layer Perceptron, LightGBM, and K-Nearest Neighbors — in sEMG gesture recognition tasks.