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  • This paper deals with a comparison of k-Means and Bayes classifiers designed for classification of the human body motions classification. The main task of this paper is to compare the performance and the reliability of classifiers. The presented work is a part of research of relations between brain and muscle activity. The sensing of body motions is based on standard DV camcorders system. The procedures have no negative impact to brain activity (the tracking does not affect the measured EEG signals). Presented paper includes the description of observing, discerning and parameterization procedures and the discussion of motion classification. The results of classification accuracy are the part of this paper.
  • This paper deals with a comparison of k-Means and Bayes classifiers designed for classification of the human body motions classification. The main task of this paper is to compare the performance and the reliability of classifiers. The presented work is a part of research of relations between brain and muscle activity. The sensing of body motions is based on standard DV camcorders system. The procedures have no negative impact to brain activity (the tracking does not affect the measured EEG signals). Presented paper includes the description of observing, discerning and parameterization procedures and the discussion of motion classification. The results of classification accuracy are the part of this paper. (en)
Title
  • Comparison of k-Means and Bayes classifiers for Human Body Motions Classification
  • Comparison of k-Means and Bayes classifiers for Human Body Motions Classification (en)
skos:prefLabel
  • Comparison of k-Means and Bayes classifiers for Human Body Motions Classification
  • Comparison of k-Means and Bayes classifiers for Human Body Motions Classification (en)
skos:notation
  • RIV/68407700:21230/09:00159145!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 307733
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:00159145
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • motion analysis; motion classification; k-Means classification; Bayes classification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4A66EE556A53]
http://linked.open...v/mistoKonaniAkce
  • Mnichov
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Havlík, Jan
  • Uhlíř, Jan
  • Horčík, Zdeněk
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1680-0737
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer Science+Business Media
https://schema.org/isbn
  • 978-3-642-03897-6
http://localhost/t...ganizacniJednotka
  • 21230
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