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The paper deals with an enhanced approach of recognising intentions of a patient to move a hand prosthesis when manipulating and grasping items in a way that is skillful. The method follows a 2-level multi-classifier system (MCS) with heterogeneous classified bases with a relationship to EMG and MMG signals and a mechanism that combines the use of a probabilistic competence functions of base classifiers...
In the paper the problem of EMG-based recognition of user intent for the control of bio-prosthetic hand is addressed. The multiple classifier systems (MCS) with dynamic ensemble selection (DES) strategy based on the original concept of competence measure are applied. In the proposed method first a probabilistic reference classifier (RRC) is constructed which - on average - acts like the classifier...
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