Towards the bio personalization of music recommendation systems: A single sensor EEG biomarker of subjective music preference
Mobile neuroimaging leads to a whole new era of brain oriented consumer applications.A single sensor EEG biomarker to assess subjective music preference is introduced.It can facilitate the bio personalization of modern music recommendation systems. Recent advances in biosensors technology and mobile electroencephalographic (EEG) interfaces have opened new application fields for cognitive monitoring. A computable biomarker for the assessment of spontaneous aesthetic brain responses during music listening is introduced here. It derives from well established measures of cross frequency coupling (CFC) and quantifies the music induced alterations in the dynamic relationships between brain rhythms. During a stage of exploratory analysis, and using the signals from a suitably designed experiment, we established the biomarker, which acts on brain activations recorded over the left prefrontal cortex and focuses on the functional coupling between high b and low g oscillations. Based on data from an additional experimental paradigm, we validated the introduced biomarker and showed its relevance for expressing the subjective aesthetic appreciation of a piece of music. Our approach resulted in an affordable tool that can promote human machine interaction and, by serving as a personalized music annotation strategy, can be potentially integrated into modern flexible music recommendation systems.
Inf. Sci.