IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Comparative Study of Neural Network Based Approaches for Facial Expression Recognition


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International Journal for Innovative Research in Science & Technology
Volume 1 Issue - 11
Year of Publication : 2015
Authors : Yeshudas Muttu ; Dr. H. G. Virani

BibTeX:

@article{IJIRSTV1I11192,
     title={Comparative Study of Neural Network Based Approaches for Facial Expression Recognition},
     author={Yeshudas Muttu and Dr. H. G. Virani},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={11},
     pages={467--471},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I11192.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Abstract:

Face Expression Recognition is very fast growing research field in computer vision & artificial intelligence. Human Facial Expression is not just an easy and straightforward task due to several circumstances like illumination, facial occlusions, face shape/colour etc. Its applications include human-computer interfaces, human emotion analysis, and medical care and cure. The paper deals with the comparative study of neural network based approaches with its application to the facial expression recognition system.

Keywords:

ANN, HCI, Back propagation, Radial basis function, linear vector quantisation
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