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The paper discusses the problem of human intention recognition by means of the electromyography (EMG) signals analysis, for the control of the artificial hand. The signal characteristics and the large number of movement classis of a dexterous hand together with the high reliability of their recognition that is demanded make all this problem all the more difficult. The decomposition of the problem leads to a multistage process expressed by Decision Tree (DT).
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