Open AccessPERSUASIVE TECHNOLOGY TO GENERATE SONGS PLAYLIST USING EMOTION BASED MUSIC PLAYER
Author(s) -
Uma Yadav,
Shweta Kharat
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v05i10.018
Subject(s) - computer science , facial expression , mood , process (computing) , expression (computer science) , human–computer interaction , emotion recognition , feeling , multimedia , artificial intelligence , psychology , social psychology , psychiatry , programming language , operating system
— The advanced approach that offers the userwith automated generated playlist of songs based on themood of the user. In today’s world everyone uses the musicto relax him or herself. To automate the Playlistgeneration process lots of algorithm were developed andproposed. Emotion Based Music Player aims at perusingand inferring the data from facial expressions and creatinga Playlist based on the parameters extracted. Humanmoods are proposed for common understanding andsharing feelings and aims. Depending upon the currentmood of the user the player automatically selects the songand plays it. The proposed system focuses on developingthe Emotion Based Musing Player by detecting the humanemotions through facial expression extraction technique.The proposed system works on Playlist generation andClassification of Emotions. The system is designed in sucha way that the Facial expressions are captured through aninbuilt camera, analyze the extracted features of the imageand determines the mood of the user and arranges theplaylist accordingly.