True smile recognition system using neural networks

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

doi:10.1109/ICONIP.2002.1198138

True smile recognition system using neural networks

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	650-654
Number of pages	5
Volume	2
ISBN (Print)	9810475241, 9789810475246
DOIs	https://doi.org/10.1109/ICONIP.2002.1198138
Publication status	Published - 2002
Externally published	Yes
Event	9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore Duration: 2002 Nov 18 → 2002 Nov 22

Other

Other	9th International Conference on Neural Information Processing, ICONIP 2002
Country	Singapore
City	Singapore
Period	02/11/18 → 02/11/22

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Signal Processing

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10.1109/ICONIP.2002.1198138

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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 proceeding › Conference 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

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True smile recognition system using neural networks

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