A Survey : Expression Based Music Player

Authors

  • Celina Jenefer C  Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
  • Leena. S   Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
  • Nirmala Devi M   Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India
  • Dr. J. SelvaKumar  Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India

Keywords:

Human Computer Interface; Facial Feature Detection; Expression Classification; Audio Feature Extraction; Principle Component Analysis; Singular Value Decomposition; Sentimental Analysis

Abstract

The facial expression plays an important role in detecting the mindset of an individual. Facial Expression is one of the natural ways to express emotions. In the interpersonal communications, humans use non verbal clues like facial expression, hand gestures and tone of voice. Detecting and understanding the facial expressions are challenging tasks. Expression based music player involved in various fields like computer science, human computer interface and psychology. The facial Expressions are detected by using various feature extraction techniques from an image as well as from real-time videos. Expression based Music Player involves the image processing, facial feature detection, expression classification and audio feature extraction. This paper provides the information about various research works carried out by many authors in the field of expression based music player.

References

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  4. Nikhil Zaware, Tejas Rajgure, Amey Bhadang, D. D. Sapkal. “Emotion Based Music Player”. International Journal of Innovative Research and Development ISSN 2278 – 0211 (Online).  Vol 3, Issue 3, 2014.
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Published

2017-04-30

Issue

Section

Research Articles

How to Cite

[1]
Celina Jenefer C, Leena. S , Nirmala Devi M , Dr. J. SelvaKumar, " A Survey : Expression Based Music Player, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 3, pp.92-95, March-April-2017.