Music plays a vital role in human’s mood modulation in day to day life. Music enhances the emotional state of the human by stress reduction, mood regulation and removes distraction. Music regulates the mood by inducing various emotion states such as happiness and relaxation. This further reduces stress as the mood is enhanced by emotional states. The rhythm and tempo of music played can have calming effect on the human stress and reduce distraction to focus on the target work. From the result of many research works that is proven that there are significant relation between human emotion and music. This paper advances a emotional music player that plays music based on human emotion expression. This is based on reinforcement learning for mapping the emotion to the music. Here for the given target emotion, initially the state of the emotion is being is being determined base on the image that is being captured instead of taking emotion from the user in the previous work in the literature. In the advanced system the music player contains two GUI windows which are responsible for all the outputs to view. The initial window is used to capture the image or terminate the process. The final window plays the song and displays the emotion that is being detected. The most effective of these methods in CNN model is 87.02%

Mood Modulation, Emotion States, Human Emotion Expression, Reinforcement Learning, CNN