This paper presents a proof-of-concept pilot study investigating whether 2-dimensional arousal-valence correlates determined from electroencephalogram (EEG) readings can be used to select music based on the affective state of a user. Self-reported emotional states are used to evaluate a system for estimating arousal and valance from EEG by means of music selection from a real-time jukebox, with stimuli that have strong emotional connotations determined by a perceptual scaling analysis. Statistical analysis of participant responses suggests that this approach can provide a feasible platform for further experimentation in future work. This could include using affective correlations to EEG measurements in order to control real-time systems for musical applications such as arrangement, re-composition, re-mixing, and generative composition via a neurofeedback mechanism which responds to listener affective states.
['Joel Eaton', 'Duncan Williams', 'Eduardo Reck Miranda']
AFFECTIVE JUKEBOX: A CONFIRMATORY STUDY OF EEG EMOTIONAL CORRELATES IN RESPONSE TO MUSICAL STIMULI