Skip to main content
SpringerLink
Log in

SOM Based Segmentation of Visual Stimuli in Diagnosis and Therapy of Neuropsychological Disorders

  • Conference paper
Man-Machine Interactions 3

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 242))

  • 1748 Accesses

Abstract

Examination of possibility of applying results of eye-tracking of visual stimuli in diagnosis and therapy of neuropsychological disorders requires developing the methodology of analysis of data obtained in this process. One of the important elements of this methodology is the stage of separating the process of syntactic analysis (bottom-up) from the process of semantic analysis (top-down) of visual stimuli. In order to separate these processes, it is necessary to develop an objective method for segmentation of visual stimuli, enabling us to select areas of interest in both processes. In the paper, we present results of research aimed at developing the segmentation method of visual stimuli in the area of processes of syntactic analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bense, M.: Einführung in die informationstheoretische Ästhetik. Grundlegung und Anwendung in der Texttheorie. Rowohlt Taschenbuch Verlag GmbH (1969)

    Google Scholar 

  2. Birkhoff, G.D.: Aesthetic Measure. Harvard University Press, Cambridge (1933)

    MATH  Google Scholar 

  3. Bonsiepe, G.A.: A method of quantifying order in typographic design. Journal of Typographic Research 2, 203–220 (1968)

    Google Scholar 

  4. Comber, T., Maltby, J.R.: Layout complexity: Does it measure usability? In: Proceedings of the IFIP TC13 Interantional Conference on Human-Computer Interaction, The International Federation for Information Processing, pp. 623–626. Chapman & Hall, Ltd., London (1997)

    Google Scholar 

  5. Jaimes, A., Chang, S.F.: A conceptual framework for indexing visual information at multiple levels. In: Proceedings of SPIE Internet Imaging, vol. 3964, pp. 2–15 (2000)

    Google Scholar 

  6. Kingstone, A., Smilek, D., Eastwood, J.D.: Cognitive ethology: A new approach for studying human cognition. British Journal of Psychology 99, 317–340 (2008)

    Article  Google Scholar 

  7. Kohonen, T.: Self-organized formation of topologically correct feature maps. Biological Cybernetics 43(1), 59–69 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  8. Maltby, J.: Operational complexity of direct manipulation tasks in a windows environment. Australasian Journal of Information Systems 2(2) (2007)

    Google Scholar 

  9. Marr, D.: Vision. Freeman, San Francisco (1982)

    Google Scholar 

  10. Scha, R., Bod, R.: Computationele esthetica. Informatie en Informatiebeleid 11(1), 54–63 (1993)

    Google Scholar 

  11. Ullman, S.: High-Level Vision: Object Recognition and Visual Cognition. MIT Press, Cambridge (1996)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Information Technology and Management in Rzeszów, Rzeszów, Poland

    Bolesław Jaskuła, Jarosław Szkoła & Krzysztof Pancerz

  2. Univeristy of Management and Administration in Zamość, Zamość, Poland

    Krzysztof Pancerz

Authors
  1. Bolesław Jaskuła
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jarosław Szkoła
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Krzysztof Pancerz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Bolesław Jaskuła .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dr. Aleksandra Gruca

  2. Polish Academy of Sciences and Silesian University of Technology, Gliwice, Poland

    Tadeusz Czachórski

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Jaskuła, B., Szkoła, J., Pancerz, K. (2014). SOM Based Segmentation of Visual Stimuli in Diagnosis and Therapy of Neuropsychological Disorders. In: Gruca, D., Czachórski, T., Kozielski, S. (eds) Man-Machine Interactions 3. Advances in Intelligent Systems and Computing, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-319-02309-0_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02309-0_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02308-3

  • Online ISBN: 978-3-319-02309-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation