Future of Information and Communication Conference (FICC) 2021
29-30 April 2021
Publication Links
IJACSA
Special Issues
Article Details
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Real-time Facial Emotion Detection using Support Vector Machines
Digital Object Identifier (DOI) : 10.14569/IJACSA.2010.010207
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 1 Issue 2, 2010.
Abstract: There have been continuous researches in the field of emotion detection through faces of biological species in the last few decades. This was further fuelled by the rise of artificial intelligence which has added a new paradigm to its ongoing research. This paper discusses the role of one of the artificial intelligence techniques, Support vector machines for efficient emotion detection. This study comprised of experiments conducted on Java platform by using libsvm. The coordinates of vital points of a face have been used for training the SVM network which finally led to proper identification of various emotions appearing on a human face.
Keywords: Emotion-Detection;Facial-expressions; libsvm; Support Vector Machines; Facial action coding system(FACS)
Anvita Bajpai, “Real-time Facial Emotion Detection using Support Vector Machines ” International Journal of Advanced Computer Science and Applications(IJACSA), 1(2), 2010. http://dx.doi.org/10.14569/IJACSA.2010.010207
@article{Bajpai2010,
title = {Real-time Facial Emotion Detection using Support Vector Machines
},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2010.010207},
url = {http://dx.doi.org/10.14569/IJACSA.2010.010207},
year = {2010},
publisher = {The Science and Information Organization},
volume = {1},
number = {2},
author = {Anvita Bajpai}
}
