Recognizing finger gestures from forearm EMG signals
作者： T. Scott Saponas , Dan Morris , Ravin Balakrishnan , Desney Tan
DOI:
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摘要: A machine learning model is trained by instructing a user to perform various predefined gestures, sampling signals from EMG sensors arranged arbitrarily on the user's forearm with respect locations of muscles in forearm, extracting feature samples sampled signals, labeling according corresponding gestures instructed be performed, and training labeled samples. Subsequently, may recognized using sensors, unlabeled same type as those extracted during training, passing model, outputting indicia gesture classified model.
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