A chord progression library for measuring emotions by BCIs

One of the ambitions of computational musicology con-sists in characterising music harmony in a symbolic system. In the context of the EU project Polifonia, we are exploring the possibility to associate EEG data to charac-terise harmony from a cognitive and emotional point of view. Data will be collected using a Brain Computer In-terface (BCI). In a further step, we aim to train a ML classifier to automate the pattern recognition process. To obtain the EEG characterisation, we will consider chord sequences. This choice represents per sè a novelty, considering that in literature mainly sounds and tracks have been explored with BCI interfaces. We present preliminary findings and on that basis sketch research hy-potheses to be further developed.