Music Recommendation Based on Facial Emotion Recognition

arXiv:2404.04654v1 Announce Type: new
Abstract: Introduction: Music provides an incredible avenue for individuals to express their thoughts and emotions, while also serving as a delightful mode of entertainment for enthusiasts and music lovers. Objectives: This paper presents a comprehensive approach to enhancing the user experience through the integration of emotion recognition, music recommendation, and explainable AI using GRAD-CAM. Methods: The proposed methodology utilizes a ResNet50 model trained on the Facial Expression Recognition (FER) dataset, consisting of real images of individuals …

abstract arxiv cs.cv cs.ir emotion emotions entertainment experience express integration introduction music paper recognition recommendation thoughts through type