Open AccessDevelopment of Music Player Application Using Emotion Recognition
Author(s) -
Yogesh Kumar and Shikha Gupta
Publication year - 2021
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst070112
Subject(s) - mood , studio , computer science , feeling , sadness , musical , multimedia , android (operating system) , implementation , human–computer interaction , psychology , visual arts , anger , art , social psychology , telecommunications , programming language , operating system
In this day and age, most people in the world love to listen to music. Music plays an important part ineveryone's life. We use music for many reasons like relaxation, inspiration, and energy. It helps in expressingour feelings and emotions. It gives us relief and helps to reduce stress. This is proved by the fact that now wecan see many people with earphones in their ears while taking an early morning walk, crossing the street, oreven working. Many music applications were modified with different functionality and other implementationsbut still, I found an issue in most music player applications that they play songs randomly without referenceto the frame of mind of the user.In this paper, we propose a system that will be able to play songs for the user according to his mood.Melody is a music player application that suggests an automated song playlist to the user after analyzing themood of the user. We use the Android Studio and Google Firebase to store songs on the server and then playthem in the Melody app according to the user’s mood.