Music Recommendation Based on Facial Expressions and Mood Detection using CNN

Abstract

Music is considered as global language. That can connect the people in all over the world. Music has the great ability to evoke different emotions in people. Music has great impact on our emotions. It is also a means of mood regulation. In the proposed system, music playlist is created by detecting emotions. A user’s emotion is detected by people facial expressions. The facial expressions can be detected lively by system’s camera. The convolutional Neural Network is used for emotion detection. Pygame and Tinker are used for music recommendation. Feature extraction is performed on input images to detect emotions such as happy, sad, chill. A music playlist is created based on our mood