Akshobhya Rao BV, Fathima Rameesha Asokan, Husna Firdous3,G P Prerana, Dr. Gopal Krishna Shyam


Music has become an integral part of everybody's life. We currently have a variety of music applications that can be connected to the internet and view suggested or related songs based on the playlist of the user, enabling users to exchange playlists and categorize songs into different genres.This paper proposes a system which would help the user identify their emotions through facial analysis and be able to listen accordingly to the best suited songs. This speeds up the process of finding the best suited songs by eliminating the manual work. Our proposed system uses Microsoft emotion recognition for facial analysis, a system that has already analyzed emotions and has the MicrosoftFace API which has analyzed over 1 million faces and presents an average true positive value up to 60%. This API helps capture and evaluate emotion from an image in the application. Within this system, computer vision components are usedto assess the emotion of the user by facial expressions. The camera of the device captures the user's image. The system can assess the user's emotions and map to predefined playlists based on the captured emotions.



Microsoft emotion recognition API, flutter, Firebase

Full Text:



RamyaRamanathan , RadhaKumaran , R Ram Rohan ,Rajat Gupta ,VishalakshiPrabhu, “An IntelligentMusic Player based on Emotion Recognition”;2017 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS), Volume No.1, Issue No. 18060618 , Year of publication 2018, Page No.5

Sneha Lukose , Savitha S. Upadhya, “Music player based on emotion recognition of voice signals”, 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Volume No.1, Issue No. 17720833, Year of publication 2018, Page No. 4

Karthik Subramanian Nathan ; Manasi Arun ; Megala S Kannan, “EMOSIC- AnEmotion based music player for android”2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT),INSPEC Accession Number: 17859703, year of publication 2017,Publisher: IEEE; Cited by: Papers (1)

Shlok Gilda; Husain Zafar; Chintan Soni; KshitijaWaghurdekar;” Smart music player integrating facialemotion recognition and music mood recommendation”, 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) INSPEC Accession Number: 17598705, year of publication 2017,Publisher: IEEE

S. Deebika, K.A.Indira, Jesline,”machine learning based music player by detecting emotions” Conference: 2019 Fifth International Conference on Science Technology Engineering and

Mathematics (ICONSTEM), year of publication: march 2019; Volume: 1;Conference Paper; Publisher: IEEEngi

Aayush Bhardwaj; Ankit Gupta ; Pallav Jain ; Asha Rani ; Jyoti Yadav; “Classification of human emotionsfrom EEG signals using SVM and LDA Classifiers”, 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), INSPEC Accession Number: 15090275; year of publication:2015,Publisher:IEEE;Cited by: Papers (24)

KrittrinChankuptarat ; RaphatsakSriwatanaworachai ; SupannadaChotipant, “Emotion-Based Music Player”,2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST),Year of publishing: 2019 ,Conference Paper, Publisher: IEEE

Kevin C. Tseng ; Bor-Shyh Lin ; Chang-Mu Han ; Psi-Shi Wang,”Emotion recognition of EEG underlying favourite music by support vector machine”,2013 1st International Conference on Orange Technologies (ICOT);Year of publishing: 2013,Conference Paper,Publisher: IEEE,Cited by: Papers (7)

Anuja Arora ; Aastha Kaul ; Vatsala Mittal,”Mood Based Music Player”;2019 International Conference on Signal Processing and Communication (ICSC)Year of publishing: 2019;Conference Paper;Publisher: IEEE

Sushmita G. Kamble ; A. H. Kulkarni; “Facial expression based music player”;2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI);Year: 2016;Conference Paper;Publisher: IEEE;Cited by: Papers (1)

DOI: https://doi.org/10.26483/ijarcs.v11i0.6581


  • There are currently no refbacks.

Copyright (c) 2020 International Journal of Advanced Research in Computer Science