A theory for the risk bound of myoelectric control with adaptive learning

In order to overcome the performance degradation of long-term myoelectric pattern recognition, many studies introduced adaptive learning methods, which track the concept drift to reduce the potential misclassification risk (MR). Different from phenomenological analysis, for the first time, this paper intends to analytically model the learning process of adaptive learners with delayed and incomplete supervised information (noted as realistic...