MyMusicShuffler: Mood-based music recommendation with the practical usage of brainwave signals

This paper proposes an automatic music service, the MyMusicShuffler, which recommends music based on received brain signals. This service is focused on eliminating the unnecessary hand interactions in multi-tasking environments. By analyzing brainwave signals, the application can select music which effectively reflects the emotional responses of the user in real time. This paper explains the implementation of the service, MyMusicShuffler, a mood-based music recommendation service which interacts with the mood status of user.