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An Expert System for Human Personality Characteristics Recognition

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Artificial Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6113))

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Abstract

In this paper, a hybrid expert system that can recognize some personality characteristics, based on human face pictures, is proposed. The expert system includes a neural network and a fuzzy system for pattern recognition and classification. The hybrid intelligent expert system can produce a short psychological portrait - expressed in a natural language - of a person whose face is presented in the picture.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Czȩstochowa University of Technology, Armii Krajowej 36, 42-200, Czȩstochowa, Poland

    Danuta Rutkowska

  2. Institute of Information Technology, Academy of Management (SWSPiZ), Sienkiewicza 9, 90-113, Łódź, Poland

    Danuta Rutkowska

Authors
  1. Danuta Rutkowska
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź,, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics,, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA,  

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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Rutkowska, D. (2010). An Expert System for Human Personality Characteristics Recognition. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_83

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  • DOI: https://doi.org/10.1007/978-3-642-13208-7_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13207-0

  • Online ISBN: 978-3-642-13208-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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