Music Recommendation System Based on Facial Emotion Recognition

Abstract

Face recognition technology has widely attracted attention due to its enormous application value and market potential. It is being implemented in various fields like security system, digital video processing and many such technological advances. Additionally, music is the form of art, which is known to have a greater connection with a person’s emotion. It has got an unique ability to lift up one’s mood. Relatively, this paper focuses on building an efficient music recommendation system which determines the emotion of user using Facial Recognition techniques. The algorithm implemented would prove to be more proficient than the existing systems. Moreover, on a larger dimension, this would render salvage of time and labor invested in performing the process manually. The overall concept of the system is to recognize facial emotion and recommend songs efficiently. The proposed system will be both time and cost efficient.