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Expression player
Subject area: Science,Engineering and Technology · Area of research: Information technology
Abstract
Human face indicates the behavioral and emotional state of the individual. We can extract the information from human face to categorize it into different forms of emotions. Extracting required input from human face can directly done by Camera .To understand the emotion music always been a popular choice. Music has some medical qualities that it can be used as stress reliever, it can be a mood changer, kills loneliness. FER method is used to recognize the mood. This system reduce the creepy work of manually segregating or grouping songs to different lists and helps in generating an appropriate playlist based on an individual's emotional features. Facial expression based music system is used to scan and interpret the data and according to that it creates playlist based on input's provided. Facial expression detection system should address three major problems: Detection of face from an image, Facial feature extraction and Facial expression classification.
Keywords
Emotion recognition, Computer vision, Camera, Music, Facial Expression Recognition (FER).
References
[1] “Mrs. Sarika Rane”, “A Music Player Based on Facial Expression Recognition”, International Research Journal of Engineering and Technology (IRJET) (2395- 0072), Apr-2018, page no: 3703- 3707
[2] Anukriti Dureha, “An Accurate Algorithm for Generating a Music Playlist based on Facial Expressions”, International Journal of Computer Applications (0975-8857), August 2014, page no:102-272.
[3] Abhishek R. Patel , Anusha Vollal, “A Mood based Music Player”, International Journal of Computer Applications (0975 – 8887), May 2016,page no 21-25
[4] Shlok Gilda, Husain Zafar, Chintan Soni, “ Smart Music Player Integrating Facial Emotion Recognition and Music Mood Recommendation” IEEE, 2017, page no 154-158
How to cite this paper
@article{1702230,
author = {Amruta kor, Shramika helwadkar, Mrunmyee bombe , Prof. Prajkta khaire},
title = {Expression player},
journal = {Iconic Research And Engineering Journals},
year = {2020},
volume = {3},
number = {10},
pages = {212-216},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1702230.pdf},
abstract = {Human face indicates the behavioral and emotional state of the individual. We can extract the information from human face to categorize it into different forms of emotions. Extracting required input from human face can directly done by Camera .To understand the emotion music always been a popular choice. Music has some medical qualities that it can be used as stress reliever, it can be a mood changer, kills loneliness. FER method is used to recognize the mood. This system reduce the creepy work of manually segregating or grouping songs to different lists and helps in generating an appropriate playlist based on an individual's emotional features. Facial expression based music system is used to scan and interpret the data and according to that it creates playlist based on input's provided. Facial expression detection system should address three major problems: Detection of face from an image, Facial feature extraction and Facial expression classification.},
keywords = {Emotion recognition, Computer vision, Camera, Music, Facial Expression Recognition (FER).},
month = {April},
}