This study aims to answer two research questions related to piano performance. The first investigates the ability of a specific set of morphometric features to represent the performance of participants in the execution of piano gestures, allowing machine learning models to distinguish subjects according to the gesture performed. The second explores the effectiveness of the same set of features in discriminating subjects according to their skill level in performing piano gestures. To this end, an experimental protocol was designed in which 32 participants performed four simple piano gestures, recorded by an Intel RealSense SR305 camera. After a qualitative screening, only the videos of 27 participants were retained for the analysis.