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eHealth 360° pp 459–467Cite as

On the Extraction of Anthropometric Parameters by Visual and Non-visual Means

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Abstract

In this paper the system for collection of anthropometric data is presented, along with the novel techniques for extraction of such data. System is built on selected open-source platform having developed various plugins as a part of the project. Means for extraction follow two approaches: visual and non-visual. The first presumes the acquiring of data from static 2D image, the latter gets data through the direct measurement. Visual approach utilizes several principles following the image processing and related face recognition algorithms. Moreover known anthropometric relations are utilized to estimate other proportions. The output in the form of data of individual user may serve as for statistical comparison with other users. Further such data is to be used for correlation studies with several diseases and changes of overall health condition.

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Acknowledgments

We support research activities in Slovakia/This project is being co-financed by the European Union. Paper is the result of the Project implementation: University Science Park TECHNICOM for Innovation Applications Supported by Knowledge Technology, supported by the Research & Development Operational Programme funded by the ERDF.

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Authors and Affiliations

  1. Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00, Košice, Slovak Republic

    Ondrej Kainz, Ján Forgáč, Miroslav Michalko & František Jakab

Authors
  1. Ondrej Kainz
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  2. Ján Forgáč
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  3. Miroslav Michalko
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  4. František Jakab
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Correspondence to Ondrej Kainz .

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Editors and Affiliations

  1. Applied Informatics in mHealth, National Technical University of Athens, Zografou, Greece

    Kostas Giokas

  2. Budapest University of Technology, Budapest, Hungary

    Laszlo Bokor

  3. University of Glasgow, Glaswow, United Kingdom

    Frank Hopfgartner

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Kainz, O., Forgáč, J., Michalko, M., Jakab, F. (2017). On the Extraction of Anthropometric Parameters by Visual and Non-visual Means. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds) eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-49655-9_56

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  • DOI: https://doi.org/10.1007/978-3-319-49655-9_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49654-2

  • Online ISBN: 978-3-319-49655-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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