In this paper, we present our research on left hand gesture acquisition and analysis in guitar performances. The main goal of our research is the study of expressiveness. Here, we focus on a detection model for the left hand fingering based on gesture information. We use a capacitive sensor to capture fingering positions and we look for a prototyp- ical description of the most common fingering positions in guitar playing. We report the performed experiments and study the obtained results proposing the use of clas- sification techniques to automatically determine the finger positions.

This work was partially funded by NEXT-CBR (TIN2009- 13692-C03-01), IL4LTS (CSIC-200450E557) and by the Generalitat de Catalunya under the grant 2009-SGR-1434.