Mood based Music System

Authors

  • A. S. Mali Dept. of CSE, Rajarambapu Institute of Technology, Shivaji University, Sakharale, India
  • A. A. Kenjale Computer Science and Engineering, Rajarambapu Institute of Technology, Islampur, India
  • P. M. Ghatage Computer Science and Engineering, Rajarambapu Institute of Technology, Islampur, India
  • A. G. Deshpande Computer Science and Engineering, Rajarambapu Institute of Technology, Islampur, India

Keywords:

Machine learning, Image processing, PyQt5, OpenCV, Convolutional Neural Network (CNN), Haar Cascade, Pygame

Abstract

Music is a significant element of life. People take its help to evoke their emotions and prefer listening to songs according to their mood. It takes a lot of efforts to find appropriate music from the list for the particular emotional state. Music players in today’s world are not giving priority to the emotional state of a person. The aim of this paper is to develop music system which considers human emotions into account. The emotional state can be interpreted from facial expressions through the webcam. We have utilized the CNN classifier to build a neural network model. This model is trained and subjected to detect mood from facial expressions using OpenCV. Songs belonging to particular sentiments are classified on the basis of tempo feature in beats per minute. A system generates music playlist based on that detected mood. Our music player will play that generated music playlist to improves user’s mood.

 

References

V. Patchava, P. Jain,R. Lomte, P. Shakthi, H. B. Kandala, “Sentiment Based Music Play System ”

P. Pathak, Prof. S. Aranjo, “Mood based Music Player Karan Mistry”.

Viola, P., & Jones, M. J., “Robust Real-Time Face Detection”, International Journal of Computer Vision, 57(2), 137-154 (2004).

O. Arriaga, G. Paul, M. Valdenegro, “Real-time Convolutional Neural Networks for Emotion and Gender Classification”

Face detection in OpenCV using Haar cascade

The Echo Nest Developer Center.

Kaggle FER2013 open source dataset for face

A. R. Patel, A. Vollal, P. B. Kadam, S. Yadav, R. M. Samant,“MoodyPlayer: A Mood based Music Player”.

C. Jenefer, S. Leena, M. Nirmala, Dr. J. SelvaKumar, “A Survey: Expression Based Music Player”.

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Published

2018-06-30

How to Cite

[1]
A. S. Mali, A. A. Kenjale, P. M. Ghatage, and A. G. Deshpande, “Mood based Music System”, Int. J. Sci. Res. Comp. Sci. Eng., vol. 6, no. 3, pp. 27–30, Jun. 2018.

Issue

Vol. 6 No. 3 (2018): June

Section

Research Article

License

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