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Human Mood Detection and Control: A Cybernetic Approach

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Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

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References

  1. Bezdek, J. C., Fuzzy Mathematics in Pattern Classification, Ph.D. Thesis, Applied Mathematics Center, Cornell University, New York Ithaca, 1973.

    Google Scholar 

  2. Biswas, B. and Mukherjee, A. K., “Template matching with fuzzy descriptors,” J. of Inst. of Engineers, 1997.

    Google Scholar 

  3. Carroll, J. M. and Russel, J.A., “Do facial expression signal specific emotion? Judging emotion from the face in context,” Journal of Personality and Social Psychology, vol. 70, no. 2, pp. 205–218, 1996.

    Article  Google Scholar 

  4. Ekman, P. and Friesen, W. V., Unmasking the Face: A Guide to Recognizing Emotions from Facial Clues, Prentice-Hall, Englewood Cliffs, NJ, 1975

    Google Scholar 

  5. Fernandez-Dols, J. M., Wallbotl, H., and Sanhez, F., “Emotion category accessibility and the decoding of emotion from facial expression and context,” Journal of Nonverbal Behavior, vol. 15, 1991.

    Google Scholar 

  6. Izumitani, K., Mikami, T., and Inoue, K., “A model of expression grade for face graphs using fuzzy integral,” System and Control, vol. 28, no. 10, pp. 590–596, 1984.

    Google Scholar 

  7. Kawakami, F., Morishima, S., Yamada, H., and Harashima, H., “Construction of 3-D emotion space using neural network,” Proc. of the 3 rd International Conference on Fuzzy Logic, Neural Nets and Soft Computing, Iizuka, pp. 309–310, 1994.

    Google Scholar 

  8. Klir, G. J. and Yuan, B., Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice-Hall, Englwood Cliffs, NJ, 1995.

    MATH  Google Scholar 

  9. Kobayashi, H. and Hara, F., “The recognition of basic facial expressions by neural network,” Trans. of the Society of Instrument and Control Engineers, vol. 29, no.1, pp. 112–118, 1993.

    Google Scholar 

  10. Kobayashi, H. and Hara, F., “Measurement of the strength of six basic facial expressions by neural network,” Trans. of the Japan Society of Mechanical Engineers, vol. 59, no. 567, pp. 177–183, 1993.

    Google Scholar 

  11. Kobayashi, H. and Hara, F., “Recognition of mixed facial expressions by neural network”, Trans of the Japan Society of Mechanical Engineers, vol. 59, no. 567, pp. 184–189, 1993.

    Google Scholar 

  12. Konar, A., Computational Intelligence: Principles, Techniques and Applications, Springer-Verlag, Heidelberg, 2005.

    MATH  Google Scholar 

  13. Lowery, O., Technical Report of Silent Sounds, Inc., Norcross, GA, 2004.

    Google Scholar 

  14. Ueki, N., Morishima, S., Harashima, H., “Expression analysis/synthesis system based on emotion space constructed by multilayered neural network,” Systems and Computers in Japan, vol. 25, no. 13, 1994.

    Google Scholar 

  15. Uwechue, O. A. and Pandya, S. A., Human Face Recognition Using Third-Order Synthetic Neural Networks, Kluwer Academic Publishers, Boston, 1997.

    Google Scholar 

  16. Vanger, P., Honlinger, R., and Haykin, H., “Applications of synnergetics in decoding facial expressions of emotions,” Proc. of Int. Workshop on Automatic Face and Gesture Recognition, Zurich, pp. 24–29, 1995.

    Google Scholar 

  17. Yamada, H., “Visual information for categorizing facial expression of Emotion,” Applied Cognitive Psychology, vol. 7, pp. 257–270, 1993.

    Article  Google Scholar 

  18. Zimmerman, H. J., Fuzzy Set Theory and Its Applications, Kluwer Academic, Dordrecht, The Netherlands, pp. 131–162, 1996.

    Google Scholar 

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© 2005 Springer-Verlag London Limited

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(2005). Human Mood Detection and Control: A Cybernetic Approach. In: Cognitive Engineering. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/1-84628-234-9_10

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  • DOI: https://doi.org/10.1007/1-84628-234-9_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-975-3

  • Online ISBN: 978-1-84628-234-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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