摘要：Normal hand gesture recognition methods using surface Electromyography (sEMG) signals require designers to use digital signal processing hardware or ensemble methods as tools to solve real time hand gesture classification. Some methods could also result in complicated computational models, complex circuit connection and lower online recognition ra
