EMOTION BASED MUSIC PLAYER

• Main Author: TAN , SIEW CHING
• Format: Final Year Project
• Language: English
• Published: UNIVERSITI TEKNOLOGI PETRONAS 2012
• Online Access: http://utpedia.utp.edu.my/6334/1/TanSiewChing12873_finaldissertation.pdf; http://utpedia.utp.edu.my/6334/

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%.