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; extracting feature samples from the sampled EMG signals and labeling the feature samples according to the corresponding finger gestures performed while sampling the EMG signals; training a machine learning model with the labeled feature samples; and using the trained machine learning model to evaluate EMG signal samples obtained during arbitrary finger gestures to identify those arbitrary finger gestures relative to one or more of the predefined finger gestures performed by the user.