Music Implication and Suggestion System with Emotion Detection

Music Implication and Suggestion System with Emotion Detection

Mayank Sharma, Rohan Chhatwal, Dr. K. Geetha

Computer Science and Engineering

SRM Institute of Science and Technology

Chennai, India

Abstract— In the past, choosing music based on one's mood required human interaction. However, advancements in computer vision technology now allow for the automation of this process. This article presents a real-time system for facial feature extraction and emotion recognition, which involves comparing selected facial features to a face database to identify emotions from images. This field of research is active in image processing and human-computer interaction. The system employs a convolutional neural network to detect and classify human emotions from dynamic facial expressions in real-time. The model is trained on the FER dataset, which contains over 30,000 facial RGB images depicting different expressions. Expression-based music players utilize this technology to analyze data and generate playlists based on the user's facial expressions. This feature enhances the traditional music player experience.

Keywords— Emotion Recognition, Face Detection, Music recommendation, Deep Learning, Supervised Learning, Machine Learning etc.