Analysis of the Interaction of Music and Emotions with the Help of EEG

This research paper delves into the intricate relationship between music and emotions, utilizing EEG data to unravel the underlying neural mechanisms. By analyzing EEG data with the help of graph-based and topology-based models, we aim to identify specific brainwave patterns associated with various emotional states elicited by music. This study is grounded in the hypothesis that music evokes a wide spectrum of emotions through distinct neural pathways. Understanding these pathways is crucial for developing advanced emotion recognition systems, enhancing therapeutic approaches in mental health, and improving human-computer interaction interfaces. Our findings contribute to the burgeoning field of affective computing by providing insights into the complex dynamics of music-emotion interaction, highlighting the potential of EEG in capturing the nuanced emotional responses evoked by musical experiences.