Emotions Based Music Player

Abstract

Music is known as the universal language. The reason for this statement is music is not just words that people can understand but it’s something beyond. Music is something that can change people’s behaviors. Mostly it’s important when people feel down or bad, music is able to make that people feel better. Most people are not aware that music can reduce stress, make depression more bearable and help them to relax. One of the major problems is that some people unconsciously use the effect of music by listening to random songs that contain negative messages and so make themselves feel worse. It would be great if there is a music player which picks the right songs to match user's current feeling. Usually, people like to listen to different type of songs based on how they feel. Some people like to listen to happy music when they are in happy mood and they like to listen to some sad music when they are in sad mood. And some people like to listen to happy music when they are sad, in order to cheer up. The main focus of this study is to find out how to match human emotions with music. To achieve the focus of the project, by collecting people’s feedback a music player is implemented which can identify the nearest possible match of music for an emotion fora user's listening pleasure based on his or her current mood. When people feel tender, sensual or aggressive, they actually don’t understand what their feeling is. The implemented music player automatically identifies the user's current emotion at state from his facial expressions and plays music which matches with that emotion. And when the user's emotion is changed with time play list is dynamically selected. This enables a highly relevant, personal and musical experience for the user.