Kernel Density Estimation of Electromyographic Signals and Ensemble Learning for Highly Accurate Classification of a Large Set of Hand/Wrist Motions
基于核密度估计的肌电信号和集成学习方法用于高精度分类大量手/腕运动
期刊:Frontiers in Neuroscience
影响因子:3.2
doi:10.3389/fnins.2022.796711
Ghaderi, Parviz; Nosouhi, Marjan; Jordanic, Mislav; Marateb, Hamid Reza; Mañanas, Miguel Angel; Farina, Dario