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Graduate Projects


Project ID: 523
Author: Sri Charan Nimmagadda
Project Title: Emotion Based Music Player
Semester: 3 2017
Committe Chair: Dr. Ajay Katangur
Committee Member 1: Dr. Dulal Kar
Project Description: Recent studies confirm that humans respond and react to music and that music has a high impact on person's brain activity. The average American listens up to four hours of music every day [2]. People tend to listen to music based on there mood and interests. This project focuses on creating an application to suggest songs for user based on their mood by capturing facial expressions. Facial expression is a form of nonverbal communication. Computer vision is an interdisciplinary field that helps convey a high-level understanding of digital images or videos to computers. In this system, computer vision [18] components are used to determine the user's emotion through facial expressions. Once the emotion is recognized, the system suggests a play-list for that emotion, saving a lot of time for a user over selecting and playing songs manually. Emotion-Based Music Player also keeps track of user's details like number of plays for each song, sorts songs based on category and interest level, and reorganizes the play-list every time. The system also notifies user about the songs that are never played so that they can be deleted or modified.
Project URL:   523.pdf