Development of a music recommendation application by using facial emotion recognition

Music is an important part of human life and culture, and it can affect people' s emotions and moods.However, choosing music from a large library can be a challenging and time-consuming task.In this paper, we propose a facial expression recognition-based music recommendation system that can recommend suitable music which matches the user' s current mood.The system uses a camera to capture the user's face and a convolutional neural network model which trained facial emotion recognition database to recognize seven basic emotions: anger, disgust, fear, happiness, sadness, surprise and neutral.The paper contributes to the research of facial emotion recognition and music recommendation and provides a convenient way for people to enjoy music.