JOURNAL ARTICLE

Music recommendation system based on facial emotion recognition

J. DenyB. PerumalE. Muthukumaran

Year: 2020 Journal:   3C Tecnología_Glosas de innovación aplicadas a la pyme Pages: 261-271   Publisher: Área de Innovación y Desarrollo, S.L.

Abstract

Face recognition technology has widely attractedattention due to its enormous application value and marketpotential.It is being implemented in various fields like securitysystem, digital video processing, and many such technologicaladvances.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 recommendationsystem which determines the emotion of user using FacialRecognition techniques.The algorithm implemented wouldprove to be more proficient than the existing systems.Moreover, on a larger dimension, this would render salvage oftime 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 beboth time and cost efficient.

Keywords:
Speech recognition Emotion recognition Facial recognition system Computer science Psychology Communication Cognitive psychology Pattern recognition (psychology)

Metrics

29
Cited By
21.58
FWCI (Field Weighted Citation Impact)
11
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Computing and Algorithms
Social Sciences →  Social Sciences →  Urban Studies
Educational Technology and Pedagogy
Physical Sciences →  Computer Science →  Artificial Intelligence

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