MUSIC RECOMMENDATION SYSTEM BASED ON FACIAL EMOTION RECOGNITION

被引：0
|
作者：
Samuvel, Deny John [1 ]
Perumal, B. [1 ]
Elangovan, Muthukumaran [2 ]
机构：
[1] Kalasalingam Acad Res & Educ, Dept Elect & Commun Engn, Krishnankoil, India
[2] Dr BR Ambedkar Inst Technol, Dept Elect & Commun Engn, Pahargaon, Port Blair, India
来源：
3C TECNOLOGIA | 2020年 / SI期
关键词：
Recognition; Artificial intelligence; OpenCV Application;
D O I：
10.17993/3ctecno.2020.specialissue4.261-271
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：261 / 271
页数：11
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