This project examines hand micro-gestures performed on the musical keyboard, analyzed through the MediaPipe Hand neural network, to evaluate the potential of the keyboard as a tool for improving manual dexterity. Four simple movements were selected for the experiment to ensure that all participants, regardless of their prior experience with the keyboard, could effectively complete the tasks. The experimental protocol involved 35 participants, of whom only 18 were considered for the study due to the exclusion of outliers. Among these, one hand was designated as the reference, because it executed the movements correctly. The participants performed the selected movements on a 32-key musical keyboard designed to mimic a standard piano layout.