Facial Expression Recognition

  • Unique Paper ID: 148330
  • Volume: 6
  • Issue: 1
  • PageNo: 469-473
  • Abstract:
  • The objective of this paper is used to detect the facial expression of human faces. The facial acknowledgment depends on the feeling of the human which is appeared in the face at the specific time. As we know, With the assistance of the OpenCV bundle and Machine Learning we are going to catch the articulation in the specific picture to discover either on the off chance that they are happy or sad. And if we want to use it for many other kinds of expression, we can find it out. Through this paper, our principle reason we are going to demonstrate we can probably catch the outward appearance and with the assistance AI we can most likely identify the expression of any individual.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{148330,
        author = {Yashika Gohil and Tanay Srivastava and Akshay Pratap Singh  and Suryansh Parihar and Dr. Amol K. Kadam},
        title = {Facial Expression Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {6},
        number = {1},
        pages = {469-473},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148330},
        abstract = {The objective of this paper is used to detect the facial expression of human faces. The facial acknowledgment depends on the feeling of the human which is appeared in the face at the specific time. As we know, With the assistance of the OpenCV bundle and Machine Learning we are going to catch the articulation in the specific picture to discover either on the off chance that they are happy or sad. And if we want to use it for many other kinds of expression, we can find it out. Through this paper, our principle reason we are going to demonstrate we can probably catch the outward appearance and with the assistance AI we can most likely identify the expression of any individual.},
        keywords = {dlib, Emotion Detection, Facial Detection, Fisherface, Machine Learning, OpenCV, SVM, },
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 6
  • Issue: 1
  • PageNo: 469-473

Facial Expression Recognition

Related Articles