eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-319-49655-9_56,
        author={Ondrej Kainz and J\^{a}n Forg\^{a}č and Miroslav Michalko and František Jakab},
        title={On the Extraction of Anthropometric Parameters by Visual and Non-visual Means},
        proceedings={eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers},
        proceedings_a={EHEALTH360},
        year={2017},
        month={1},
        keywords={Anthropometer Computer vision Image processing Skeleton model Static image Structural anthropometry Human body},
        doi={10.1007/978-3-319-49655-9_56}
    }
    
  • Ondrej Kainz
    Ján Forgáč
    Miroslav Michalko
    František Jakab
    Year: 2017
    On the Extraction of Anthropometric Parameters by Visual and Non-visual Means
    EHEALTH360
    Springer
    DOI: 10.1007/978-3-319-49655-9_56
Ondrej Kainz1,*, Ján Forgáč1,*, Miroslav Michalko1,*, František Jakab1,*
  • 1: Technical University of Košice
*Contact email: ondrej.kainz@tuke.com, jan.forgac@tuke.com, miroslav.michalko@tuke.com, frantisek.jakab@tuke.com

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.