Abstract
This paper suggests an emotion-based music player that produces a playlist based on user captured images. A manual playlist and song selection to meet current emotions are more time consuming and uninteresting. Many people will pick songs at random from the playlist. As a result, some songs chosen by the user do not correspond to their present mode. Furthermore, no widely used music player can play songs based on the mood, which includes the emotion like neutral, sad, angry and happy. This system makes extensive use of images processing and facial recognition technology. The suggested model requires .jpeg format as input. Model performance is evaluated by loading 64 still photos (16 for each emotion category) into it. To see how accurate, it is at detecting emotions, the proposed model has an 80% recognition rate based on the testing results. The system is validated by comparing it to the user in user dependent and user independent. It is aimed to provide a better enjoyment to music lovers in music listening. Keywords: - Facial Recognition, Emotion Detection, Emotion Detection module, Camera, Music, Open CV
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