Movements Classification of Multi-Channel sEMG Based on CNN and Stacking Ensemble Learning
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DOI: 10.1109/access.2019.2941977
Abstract: In recent years, the analysis of surface electromyography (sEMG) signals by feature engineering and machine learning has developed rapidly. However, when feature engineering is applied to feature extraction of sEMG signals, important feature information in… read more here.
Keywords: secondary classifier; accuracy; classifier; semg ... See more keywords