Abstract:In order to make the artificial forearm controller easier be trained and have higher robust, an adaptive controller for myoelectric signal (MES) is proposed. The control signal, MES, is derived from natural contraction patterns, which can be produced reliably with no subject training. To find features of MES, twenty-five filters with different center frequency and same bandwidth are designed and the feature curves of MES are shown in this paper. Based on the wavelet transform (WT) and the proposed feature curv… Show more
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