ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774


A PHYSIOLOGICAL ANALYSIS ON EMOTIONAL INTELLIGENCEUSING CONVOLUTION NEURAL NETWORK BASED MUSIC PLAYER


Abstract

Abstract:- Musicis a fundamental attribute of the humankind. In every era of human historyaround the globe , music has allowed humans to express their feelings andreduce stress levels. This research paper put forward a experimental review ofMusic player based on Emotional intelligence by physiological analysis.Recognition of facial expression is used to identify the basic human emotions.The use of physiological analysis can lead to more reliable and objectiveemotion recognition results. Thus, development of new method for recognizingemotion using physiological data and with deep Convolution Neural Networks (CNN).The computational model was designed using multiple Convolution, max poolingany fully connected layers, which successfully classifies emotions in differentmoods. We describe the procedure that was used to identify the mapping of eachsong with its emotion. This research paper aimed to provide all the basic needsof music listeners by saving their time and thereby increasing user overallhealth.

Keywords: Emotional intelligence,Physiological analysis, Convolutional Neural Networks (CNN), Emotion recognition,max pooling


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Paper Submission Open For April  20212
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