Emotion Classification Using Facial Expression

Human emotional facial expressions play an important role in interpersonal relations. This is because humans demonstrate and convey a lot of evident information visually rather than verbally. Although humans recognize facial expressions virtually without effort or delay, reliable expression recognition by machine remains a challenge as of today. To automate recognition of emotional state, machines must be taught to understand facial gestures. In this paper we developed an algorithm which is used to identify the person’s emotional state through facial expression such as angry, disgust, happy. This can be done with different age group of people with different situation. We Used a Radial Basis Function network (RBFN) for classification and Fisher’s Linear Discriminant (FLD), Singular Value Decomposition (SVD) for feature selection.

@article{Arumugam2011,
  title     = {Emotion Classification Using Facial Expression},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {2},
  number    = {7},
  year      = {2011},
  publisher = {The Science and Information Organization},
  author    = {Devi Arumugam and Dr. S. Purushothaman B.E, M.E},
  doi       = {10.14569/IJACSA.2011.020714},
  url       = {https://doi.org/10.14569/IJACSA.2011.020714}
}