MUSIC RECOMMENDATION SYSTEM EMPLOYING FACIAL EMOTION RECOGNITION

Abstract

Music is one of the most important forms of art created by humans. Several studies show that listening to music can fix various health issues like reducing mental stress, anxiety and helps in betters sleep quality mental awareness. It elevates a person’s mood, and make them calm and relaxed. It also helps in experiencing all kind of emotions. Now a days people prefer songs based on their mood and our face acts as a mirror of it. Facial expression has become a gateway to a person’s state of mind. In recent times recommending mu-sic through capturing emotions of the user has become an important and exciting field of study. This paper investigates some of the previous research that has gone in this field. It oversees the methodology used, algorithm implemented and performance measure of different techniques used in recommending music based on the user’s state of mind. The paper proposes a music application, Mood Musica that recommend playlist based on facial expressions. Finally, the paper reveals the future scope of research and development in this field and provides insights into using facial expression as music recommendation factor.