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Reseach Article

Music Recommendation based on Facial Emotion Detection

by Sonika Malik
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 1
Year of Publication: 2023
Authors: Sonika Malik
10.5120/ijca2023922485

Sonika Malik . Music Recommendation based on Facial Emotion Detection. International Journal of Computer Applications. 185, 1 ( Apr 2023), 7-13. DOI=10.5120/ijca2023922485

@article{ 10.5120/ijca2023922485,
author = { Sonika Malik },
title = { Music Recommendation based on Facial Emotion Detection },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2023 },
volume = { 185 },
number = { 1 },
month = { Apr },
year = { 2023 },
issn = { 0975-8887 },
pages = { 7-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number1/32667-2023922485/ },
doi = { 10.5120/ijca2023922485 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:25:21.300606+05:30
%A Sonika Malik
%T Music Recommendation based on Facial Emotion Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 1
%P 7-13
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Human face expressions directly express what’s going on inside a person. Detecting someone’s emotions is not a difficult task for a human but for a machine it can be difficult. Also when it comes to sear a song according to our mood, is very difficult and confusing task. So, keeping in mind here we have designed a model which can easily detect what’s going on inside a human and recommend him few songs according to his mood using facial expressions. On the basis of the prediction of emotions, the goal is to play the song that best fits the mood reflected by our expression. The major task in the paper involves the detection of human face, extract the features of face and detect emotion, predict the emotions of new face, and play song on the basis of that emotion.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Facial Emotion Detection