Song Recommendation Using Facenet Emotion Technology

Abstract

Abstract: In today’s technological revolving era, everyday new types of technologies are being discovered. Various types of technologies, devices, softwares etc. are being introduced daily. According to the experts the facial expression is derived from the internal biological motions of the muscles that lie under the skin. It also deprives the emotional state of the person. But, in this world where communication has become an important thing, the facial expression is the mean of the non-verbal communication, by which we can understand the current behaviour of the person without even uttering single word. For recognition of an individual’s mood, the system uses Facial Expression Recognition (FER) concept and depending on the recognized mood, song is played. This program removes the time-consuming and the hard work of manually searching and playing the songs from internet or any other sources. So, we introduced an application that suggests the songs based on the facial expression or emotions. This application will use the camera feature of any device to read the facial expression of the user and then define a song accordingly. Furthermore, this application will have an additional feature of offline functionality. These are the modules that our application will function on. Our application will imply on various algorithms and packages and application interfaces. We can precisely say our application will use Python package of Tensor Flow (TF) for the facial expression. In this way, the proposed system will contribute towards the healthy emotion building of the humans and will technologically evolve the existing music recommendation system in a new wholesome way. Index terms: Facial Expression Recognition, Python Package, Tensor Flow, API, BBOX