Emotion Based Music Player

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Nikhil Zaware
Tejas Rajgure
Amey Bhadang
D. D. Sapkal

Abstract

Facial expression provides current mind state of person. The most natural way to express emotions is using facial expressions.Human  often  use  nonverbal  cues  such  as  hand  gestures,  facial expressions,  and  tone  of  the  voice  to  express  feelings  in interpersonal  communications.

It is very time consuming and difficult to create and manage large playlists and to select songs from these playlists. Thus, it would be very helpful if the music player itself selects a song according to the current mood of the user. Thus, an application can be developed to minimize these efforts of managing playlists. In this paper, we will study about how to automatically detect the mood of the user and present him a playlist of songs which is suitable for his current mood. The image is captured using webcam and that image is passed under different stages to detect the mood or emotion of the user. The application is thus developed in such a way that it can manage content accessed by user, analyze the image properties and determine the mood of the user. The application also includes the facility of sorting songs based on mp3 file properties so that they can be added into appropriate playlists according to the mood.

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