Facial emotion recognition based music system using convolutional neural networks

被引:5
|
作者
Sana, S. K. [1 ]
Sruthi, G. [1 ]
Suresh, D. [1 ]
Rajesh, G. [1 ]
Reddy, G. V. Subba [1 ]
机构
[1] Gokaraju Rangaraju Inst Engn & Technol, Dept Elect & Commun Engn, Hyderabad, India
关键词
Face Detection; Emotion Detection; CNN algorithm; Music Recommendation;
D O I
10.1016/j.matpr.2022.03.131
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Our face is amongst the most significant body organs. It is critical in determining a person's emotions and feelings. With the use of certain traits discernible on the face, the emotion of an individual can be approximated to a certain degree of precision. With new technology advances, recognizable features of the face can be retrieved as inputs utilizing a webcam. The gathered data helps in determining the mood and songs are played from a customized playlist. This eliminates that time-consuming procedure of physically selecting music or modifying playlists and allowed for the creation of an appropriate playlist dependent on the person's emotional level or mood. We will look at a variety of algorithms to come up with an automatic playlist generating methodology that uses emotion recognition to suggest songs. The facial expression-driven music player is set up in a way that allows you to listen to music based on your facial expression. In this work FER-2013, dataset and CNN algorithm are used for emotion recognition. Copyright (C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页码:4699 / 4706
页数:8
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