Abstract
We analyzed brain activities obtained from 2ch NIRS measuring prefrontal cortex. Especially we focused our analysis on the genre discrimination from brain activities, and relation between Kansei evaluation and NIRS data. As a pre-processing, we executed baseline correction for the NIRS data. We adopted Random Forest for discriminating music genres. We calculated correlation between distances of arbitrary two musical pieces on the brain data space and on the Kansei data space, resulted in at most 3.0% correlation. We obtained relatively high discrimination rates for genre discrimination as a whole, though some genres resulted in low performances. Based on above results, we concluded that it is possible to know macro characteristics about listening music from prefrontal brain activities. However, it remained as future problem to find effective features establishing correspondence between objective brain data and subjective Kansei data.
