Comparing Teaching Strategies of a Machine Learning-based Prosthetic Arm

The dataset contains EMG data collected with a Myo Armband during an experiment comparing strategies to teach a machine to classify muscle contraction patterns (gestures). The data files are structured as follows: there are three folders, one for each condition in the experiment, namely Learner-led condition(LLC), Teacher-led condition (TLC) ,Random condition (RC). Each folder contains folders for 17 participants, denoted as Px , where x is the participant ID. Each participant's folder contains three database files, the training data (instances-training-x), the post-test data (instances-posttest-x), and the positive-negative examples of phase 4(instances-pos-neg-x).