1. A method for identifying individual finger movements, comprising: arbitrarily arranging a plurality of electromyography (EMG) sensors on a user's forearm; performing one or more predefined finger gestures while using the EMG sensors to sample EMG signals generated by corresponding muscle contractions of the user; concurrent with the sampling of the EMG signals, monitoring the predefined finger gestures using a secondary input mechanism to verify that correct gestures were performed; extracting feature samples from the sampled EMG signals and labeling the feature samples according to corresponding finger gestures that have been verified as correct by the secondary input mechanism; and training a machine learning model with the labeled feature samples for use in identifying arbitrary finger gestures from an evaluation of corresponding EMG signal samples.
1. A method for identifying individual finger movements, comprising: arbitrarily arranging a plurality of electromyography (EMG) sensors on a user's forearm; performing one or more predefined finger gestures while using the EMG sensors to sample EMG signals generated by corresponding muscle contractions of the user; concurrent with the sampling of the EMG signals, monitoring the predefined finger gestures using a secondary input mechanism to verify that correct gestures were performed; extracting feature samples from the sampled EMG signals and labeling the feature samples according to corresponding finger gestures that have been verified as correct by the secondary input mechanism; and training a machine learning model with the labeled feature samples for use in identifying arbitrary finger gestures from an evaluation of corresponding EMG signal samples. 5. The method of claim 1 wherein the user is provided with instructions for performing one or more of the predefined finger gestures.