JOURNAL ARTICLE

Music Recommendation System Based on Facial Emotion

Abstract

Now-a-days people are crazy about music, people used to listen music in different aspects of life. Most of the people listens to music to cherish their mood and to keep themselves motivated. Good Music connects us with the environment and boosts our mood. Every individualwants to listen music according to his/her state of emotion at that time. Listening music according to his/her state of emotion will really givespeace to mind and soul. This can be possible only with the facial expressions of the individuals. Facial expressions denote an individual state of emotion at that time. In Proposed System, Person’s facial expressions can be captured by the camera and by applying Machine Learning techniques it analyzes person’s expression can suggests a playlist. One such technique is MobileNet model with Keras.

Keywords:
Facial expression Active listening Mood Soul Psychology Expression (computer science) State (computer science) Cognitive psychology Music and emotion Face (sociological concept) Emotion detection Emotion recognition Computer science Communication Social psychology Speech recognition Music history Music education Linguistics Epistemology

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
4
Refs
0.11
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Emotion and Mood Recognition
Social Sciences →  Psychology →  Experimental and Cognitive Psychology
Face recognition and analysis
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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