EMOTION BASED MUSIC PLAYER

The work presents described the development of Emotion Based Music Player, which is
a computer application meant for all type of users, specifically the music lovers. Due to
the troublesome workloads in songs selection, most people will choose to randomly play
the songs in the playlist. As a result, some of the songs selected not matching the users’
current emotion. Moreover, there is no commonly used music player which able to play
the songs based on user’s emotion. The proposed model is able to extract user’s facial
expression and thus detect user’s emotion. The music player in the proposed model will
then play the songs according to the category of emotion detected. It is aimed to provide
a better enjoyment to music lovers in music listening. The scope of emotions in the
proposed model involve normal, sad, surprise and happy. The system involves the major
of image processing and facial detection technologies. The input for this proposed
model is the .jpeg format still images which available online. The performance of this
model is evaluated by loading forty still images (ten for each emotion category) into the
proposed model to test on the accuracy in detecting the emotions. Based on the testing
result, the proposed model has the Recognition Rate of 85%.