EEG-based Emotion Recognition with Music: A Model and Application
Date
2022-11
Authors
Scavotto, Zakariyya
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Abstract
With the growth of music streaming, both for pleasure and other applications, such as music therapy, being able to understand how music makes someone feel has increased in importance. The goal of this study was twofold: first, create a machine learning model to predict a subject’s emotional response to music; then integrate this trained model into an application that can predict someone’s emotional response based on live data. Using support vector machines (SVMs) as the basis of the machine learning model, a model was trained to recognize the correct emotional response with 64% accuracy, and the model was successfully implemented into a demonstration web application.
Description
Senior Research Project, Thomas Jefferson High School for Science and Technology in Collaboration with George Mason University Neural Engineering Lab. November 2022.
Keywords
EEG, Emotion Recognition, Machine learning
Citation
Scavotto, Zakariyya. EEG-based Emotion Recognition with Music: A Model and Application. Senior Research Project, Thomas Jefferson High School for Science and Technology in Collaboration with George Mason University Neural Engineering Lab. November 2022.