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1702230PublishedVol 3 · Issue 10

Expression player

Amruta kor Shramika helwadkar Mrunmyee bombe Prof. Prajkta khaire

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).

How to cite this paper

Amruta kor, Shramika helwadkar, Mrunmyee bombe , Prof. Prajkta khaire "Expression player" Iconic Research And Engineering Journals Volume 3 Issue 10 2020 Page 212-216
Amruta kor, Shramika helwadkar, Mrunmyee bombe , Prof. Prajkta khaire "Expression player" Iconic Research And Engineering Journals, vol. 3, no. 10, Apr. 2020
Amruta kor, Shramika helwadkar, Mrunmyee bombe , Prof. Prajkta khaire (2020). Expression player. Iconic Research And Engineering Journals, 3(10).
Amruta kor, Shramika helwadkar, Mrunmyee bombe , Prof. Prajkta khaire "Expression player" Iconic Research And Engineering Journals, vol. 3, no. 10, Apr. 2020.
@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},
  }