Study on Facial Recognition to Detect Mood and Suggest Songs

Abstract

A lot of people are interested in face recognition technology because of how many applications it has and how lucrative it may be. Security systems, digital video processing, and other industries utilise it widely. One school of thought holds that music is a form of art that has a closer affinity with the soul. emotion. Music lovers struggle with creating and organising their play-lists. They are unable to manually process hundreds of songs. Users have to manually change or update each song on their play-list each time. Songs that are a user's favourite music may not always be given precedence or may even be omitted from a playlist's order chosen from a list Ultimately, the system should be able to detect facial movements and provide actionable recommendations based on those interpretations. Each music is chosen based on the user's current emotional state. Track selection and organisation are still necessary for many traditional music players today. For each mood, users must create and edit playlists, which takes time. Some music players have sophisticated features like playlists and lyrics. Based on the performer or genre, similar songs are suggested. There is still room for improvement in the area of automation with regard to music players. Users will enjoy themselves more if tunes are automatically chosen and categorised based on the user's mood. The system can accomplish this by responding to the user's emotions.