Music recommendation system based on facial emotion recognition

Face recognition technology has widely attracted attention due to its enormous application value and market potential. It is being implemented in various fields like security system, digital video processing, and many such technological advances. Additionally, music is the form of art, which isknown...

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Bibliographic Details
Published in:3C tecnología 2020-03, p.261-271
Main Authors: Samuvel, Deny John, Perumal, B., Elangovan, Muthukumaran
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Communication
Eigenvalues
Emotion recognition
Emotions
Face recognition
Image processing
Music
Recommender systems
Security systems
Support vector machines
Video
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Summary:Face recognition technology has widely attracted attention due to its enormous application value and market potential. It is being implemented in various fields like security system, digital video processing, and many such technological advances. Additionally, music is the form of art, which isknown to have a greater connection with a person's emotion. Ithas got a unique ability to lift up one's mood. Relatively, thispaper focuses on building an efficient music recommendation system which determines the emotion of user using Facial Recognition techniques. The algorithm implemented wouldprove to be more proficient than the existing systems. Moreover, on a larger dimension, this would render salvage of time and labor invested in performing the process manually. The overall concept of the system is to recognize facial emotionand recommend songs efficiently. The proposed system will be both time and cost efficient.
ISSN:2254-4143
2254-4143
DOI:10.17993/3ctecno.2020.specialissue4.261-271