True smile recognition system using neural networks

M. Nakano, Yasue Mitsukura, M. Fukumi, N. Akamatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Recently, research about man-machine interfaces has increased. Therefore application to facial expressions is expected from the development of the man-machine interface. An eigen-face method is popular in these research fields by using the principal component analysis (PCA). But in PCA, it is not easy to compute eigenvectors with a large matrix when considering the cost of calculation to adapt for time-varying processing. In order for PCA to become high-speed, the simple principal component analysis (SPCA) is applied to compress the dimensionality of portions that constitute a face. A value of cos theta/ is calculated using the eigenvector and the gray-scale image vector of each picture pattern. By using neural networks (NN), the value of cos theta/ between true and false (plastic) smiles is clarified and the true smile is discriminated. Finally, in order to show the effectiveness of the proposed face classification method for true or false smile, computer simulations are done.

Original languageEnglish
Title of host publicationICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages650-654
Number of pages5
Volume2
ISBN (Print)9810475241, 9789810475246
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore
Duration: 2002 Nov 182002 Nov 22

Other

Other9th International Conference on Neural Information Processing, ICONIP 2002
CountrySingapore
CitySingapore
Period02/11/1802/11/22

Fingerprint

Principal component analysis
Neural networks
Eigenvalues and eigenfunctions
Plastics
Computer simulation
Processing
Costs

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

Cite this

Nakano, M., Mitsukura, Y., Fukumi, M., & Akamatsu, N. (2002). True smile recognition system using neural networks. In ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (Vol. 2, pp. 650-654). [1198138] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.2002.1198138

True smile recognition system using neural networks. / Nakano, M.; Mitsukura, Yasue; Fukumi, M.; Akamatsu, N.

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 2 Institute of Electrical and Electronics Engineers Inc., 2002. p. 650-654 1198138.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nakano, M, Mitsukura, Y, Fukumi, M & Akamatsu, N 2002, True smile recognition system using neural networks. in ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. vol. 2, 1198138, Institute of Electrical and Electronics Engineers Inc., pp. 650-654, 9th International Conference on Neural Information Processing, ICONIP 2002, Singapore, Singapore, 02/11/18. https://doi.org/10.1109/ICONIP.2002.1198138
Nakano M, Mitsukura Y, Fukumi M, Akamatsu N. True smile recognition system using neural networks. In ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 2. Institute of Electrical and Electronics Engineers Inc. 2002. p. 650-654. 1198138 https://doi.org/10.1109/ICONIP.2002.1198138
Nakano, M. ; Mitsukura, Yasue ; Fukumi, M. ; Akamatsu, N. / True smile recognition system using neural networks. ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 2 Institute of Electrical and Electronics Engineers Inc., 2002. pp. 650-654
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