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Offline prediction of the hand configuration using RFF-RR after static or dynamic training. (A) Dynamic training allowed better grasp prediction from dynamically acquired data samples (***p < 0.001). Besides, (B) the performance observed by training on dynamic and testing on static data were better than those obtained by training on static and testing on dynamic data (**p < 0.01).
